Artificial Intelligence And Blockchain In Digital Forensics

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Artificial Intelligence and Blockchain in Digital Forensics

Author : P. Karthikeyan
Publisher : CRC Press
ISBN 13 : 100084806X
Total Pages : 297 pages
Book Rating : 4.0/5 (8 download)

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Book Synopsis Artificial Intelligence and Blockchain in Digital Forensics by : P. Karthikeyan

Download or read book Artificial Intelligence and Blockchain in Digital Forensics written by P. Karthikeyan and published by CRC Press. This book was released on 2023-02-06 with total page 297 pages. Available in PDF, EPUB and Kindle. Book excerpt: Digital forensics is the science of detecting evidence from digital media like a computer, smartphone, server, or network. It provides the forensic team with the most beneficial methods to solve confused digital-related cases. AI and blockchain can be applied to solve online predatory chat cases and photo forensics cases, provide network service evidence, custody of digital files in forensic medicine, and identify roots of data scavenging. The increased use of PCs and extensive use of internet access, have meant easy availability of hacking tools. Over the past two decades, improvements in the information technology landscape have made the collection, preservation, and analysis of digital evidence extremely important. The traditional tools for solving cybercrimes and preparing court cases are making investigations difficult. We can use AI and blockchain design frameworks to make the digital forensic process efficient and straightforward. AI features help determine the contents of a picture, detect spam email messages and recognize swatches of hard drives that could contain suspicious files. Blockchain-based lawful evidence management schemes can supervise the entire evidence flow of all of the court data. This book provides a wide-ranging overview of how AI and blockchain can be used to solve problems in digital forensics using advanced tools and applications available on the market.

Artificial Intelligence and Blockchain in Digital Forensics

Author : P. Karthikeyan
Publisher :
ISBN 13 : 9788770226875
Total Pages : 0 pages
Book Rating : 4.2/5 (268 download)

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Book Synopsis Artificial Intelligence and Blockchain in Digital Forensics by : P. Karthikeyan

Download or read book Artificial Intelligence and Blockchain in Digital Forensics written by P. Karthikeyan and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: Digital forensics is the science of detecting evidence from digital media like a computer, smart phone, server, or network. It provides the forensic team with the most beneficial methods to solve confused digital-related cases. AI and blockchain can be applied to solve online predatory chat cases and photo forensics cases, provide network service evidence, custody of digital files in forensic medicine, and identify roots of data scavenging. The increased use of PCs and extensive use of internet access, has meant easy availability of hacking tools. Over the past two decades, improvements in the information technology landscape have made the collection, preservation, and analysis of digital evidence extremely important. The traditional tools for solving cybercrimes and preparing court cases are making investigations difficult. We can use AI and blockchain design frameworks to make the digital forensic process efficient and straightforward. AI features help determine the contents of a picture, detect spam email messages and recognize swatches of hard drives that could contain suspicious files. Blockchain-based lawful evidence management schemes can supervise the entire evidence flow of all of the court data. This book can provide a wide-ranging overview of how AI and blockchain can be used to solve problems in digital forensics using advanced tools and applications available on the market.

Confluence of AI, Machine, and Deep Learning in Cyber Forensics

Author : Misra, Sanjay
Publisher : IGI Global
ISBN 13 : 1799849015
Total Pages : 248 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Confluence of AI, Machine, and Deep Learning in Cyber Forensics by : Misra, Sanjay

Download or read book Confluence of AI, Machine, and Deep Learning in Cyber Forensics written by Misra, Sanjay and published by IGI Global. This book was released on 2020-12-18 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt: Developing a knowledge model helps to formalize the difficult task of analyzing crime incidents in addition to preserving and presenting the digital evidence for legal processing. The use of data analytics techniques to collect evidence assists forensic investigators in following the standard set of forensic procedures, techniques, and methods used for evidence collection and extraction. Varieties of data sources and information can be uniquely identified, physically isolated from the crime scene, protected, stored, and transmitted for investigation using AI techniques. With such large volumes of forensic data being processed, different deep learning techniques may be employed. Confluence of AI, Machine, and Deep Learning in Cyber Forensics contains cutting-edge research on the latest AI techniques being used to design and build solutions that address prevailing issues in cyber forensics and that will support efficient and effective investigations. This book seeks to understand the value of the deep learning algorithm to handle evidence data as well as the usage of neural networks to analyze investigation data. Other themes that are explored include machine learning algorithms that allow machines to interact with the evidence, deep learning algorithms that can handle evidence acquisition and preservation, and techniques in both fields that allow for the analysis of huge amounts of data collected during a forensic investigation. This book is ideally intended for forensics experts, forensic investigators, cyber forensic practitioners, researchers, academicians, and students interested in cyber forensics, computer science and engineering, information technology, and electronics and communication.

Advanced Smart Computing Technologies in Cybersecurity and Forensics

Author : Keshav Kaushik
Publisher : CRC Press
ISBN 13 : 1000520617
Total Pages : 273 pages
Book Rating : 4.0/5 (5 download)

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Book Synopsis Advanced Smart Computing Technologies in Cybersecurity and Forensics by : Keshav Kaushik

Download or read book Advanced Smart Computing Technologies in Cybersecurity and Forensics written by Keshav Kaushik and published by CRC Press. This book was released on 2021-12-15 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book addresses the topics related to artificial intelligence, the Internet of Things, blockchain technology, and machine learning. It brings together researchers, developers, practitioners, and users interested in cybersecurity and forensics. The first objective is to learn and understand the need for and impact of advanced cybersecurity and forensics and its implementation with multiple smart computational technologies. This objective answers why and how cybersecurity and forensics have evolved as one of the most promising and widely-accepted technologies globally and has widely-accepted applications. The second objective is to learn how to use advanced cybersecurity and forensics practices to answer computational problems where confidentiality, integrity, and availability are essential aspects to handle and answer. This book is structured in such a way so that the field of study is relevant to each reader’s major or interests. It aims to help each reader see the relevance of cybersecurity and forensics to their career or interests. This book intends to encourage researchers to develop novel theories to enrich their scholarly knowledge to achieve sustainable development and foster sustainability. Readers will gain valuable knowledge and insights about smart computing technologies using this exciting book. This book: • Includes detailed applications of cybersecurity and forensics for real-life problems • Addresses the challenges and solutions related to implementing cybersecurity in multiple domains of smart computational technologies • Includes the latest trends and areas of research in cybersecurity and forensics • Offers both quantitative and qualitative assessments of the topics Includes case studies that will be helpful for the researchers Prof. Keshav Kaushik is Assistant Professor in the Department of Systemics, School of Computer Science at the University of Petroleum and Energy Studies, Dehradun, India. Dr. Shubham Tayal is Assistant Professor at SR University, Warangal, India. Dr. Akashdeep Bhardwaj is Professor (Cyber Security & Digital Forensics) at the University of Petroleum & Energy Studies (UPES), Dehradun, India. Dr. Manoj Kumar is Assistant Professor (SG) (SoCS) at the University of Petroleum and Energy Studies, Dehradun, India.

Illumination of Artificial Intelligence in Cybersecurity and Forensics

Author : Sanjay Misra
Publisher : Springer Nature
ISBN 13 : 3030934535
Total Pages : 378 pages
Book Rating : 4.0/5 (39 download)

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Book Synopsis Illumination of Artificial Intelligence in Cybersecurity and Forensics by : Sanjay Misra

Download or read book Illumination of Artificial Intelligence in Cybersecurity and Forensics written by Sanjay Misra and published by Springer Nature. This book was released on 2022-02-08 with total page 378 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers a variety of topics that span from industry to academics: hybrid AI model for IDS in IoT, intelligent authentication framework for IoMT mobile devices for extracting bioelectrical signals, security audit in terms of vulnerability analysis to protect the electronic medical records in healthcare system using AI, classification using CNN a multi-face recognition attendance system with anti-spoofing capability, challenges in face morphing attack detection, a dimensionality reduction and feature-level fusion technique for morphing attack detection (MAD) systems, findings and discussion on AI-assisted forensics, challenges and open issues in the application of AI in forensics, a terrorist computational model that uses Baum–Welch optimization to improve the intelligence and predictive accuracy of the activities of criminal elements, a novel method for detecting security violations in IDSs, graphical-based city block distance algorithm method for E-payment systems, image encryption, and AI methods in ransomware mitigation and detection. It assists the reader in exploring new research areas, wherein AI can be applied to offer solutions through the contribution from researchers and academia.

Artificial Intelligence and Blockchain for Future Cybersecurity Applications

Author : Yassine Maleh
Publisher : Springer Nature
ISBN 13 : 3030745759
Total Pages : 376 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Artificial Intelligence and Blockchain for Future Cybersecurity Applications by : Yassine Maleh

Download or read book Artificial Intelligence and Blockchain for Future Cybersecurity Applications written by Yassine Maleh and published by Springer Nature. This book was released on 2021-04-30 with total page 376 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents state-of-the-art research on artificial intelligence and blockchain for future cybersecurity applications. The accepted book chapters covered many themes, including artificial intelligence and blockchain challenges, models and applications, cyber threats and intrusions analysis and detection, and many other applications for smart cyber ecosystems. It aspires to provide a relevant reference for students, researchers, engineers, and professionals working in this particular area or those interested in grasping its diverse facets and exploring the latest advances on artificial intelligence and blockchain for future cybersecurity applications.

Digital Forensics in the Era of Artificial Intelligence

Author : Nour Moustafa
Publisher : CRC Press
ISBN 13 : 1000598497
Total Pages : 257 pages
Book Rating : 4.0/5 (5 download)

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Book Synopsis Digital Forensics in the Era of Artificial Intelligence by : Nour Moustafa

Download or read book Digital Forensics in the Era of Artificial Intelligence written by Nour Moustafa and published by CRC Press. This book was released on 2022-07-18 with total page 257 pages. Available in PDF, EPUB and Kindle. Book excerpt: Digital forensics plays a crucial role in identifying, analysing, and presenting cyber threats as evidence in a court of law. Artificial intelligence, particularly machine learning and deep learning, enables automation of the digital investigation process. This book provides an in-depth look at the fundamental and advanced methods in digital forensics. It also discusses how machine learning and deep learning algorithms can be used to detect and investigate cybercrimes. This book demonstrates digital forensics and cyber-investigating techniques with real-world applications. It examines hard disk analytics and style architectures, including Master Boot Record and GUID Partition Table as part of the investigative process. It also covers cyberattack analysis in Windows, Linux, and network systems using virtual machines in real-world scenarios. Digital Forensics in the Era of Artificial Intelligence will be helpful for those interested in digital forensics and using machine learning techniques in the investigation of cyberattacks and the detection of evidence in cybercrimes.

Blockchain Technology and Applications

Author : Ahmed Banafa
Publisher : CRC Press
ISBN 13 : 1000792226
Total Pages : 122 pages
Book Rating : 4.0/5 (7 download)

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Book Synopsis Blockchain Technology and Applications by : Ahmed Banafa

Download or read book Blockchain Technology and Applications written by Ahmed Banafa and published by CRC Press. This book was released on 2022-09-01 with total page 122 pages. Available in PDF, EPUB and Kindle. Book excerpt: Blockchain is an emerging technology that can radically improve transactions security at banking, supply chain, and other transaction networks. It’s estimated that Blockchain will generate $3.1 trillion in new business value by 2030. Essentially, it provides the basis for a dynamic distributed ledger that can be applied to save time when recording transactions between parties, remove costs associated with intermediaries, and reduce risks of fraud and tampering. This book explores the fundamentals and applications of Blockchain technology. Readers will learn about the decentralized peer-to-peer network, distributed ledger, and the trust model that defines Blockchain technology. They will also be introduced to the basic components of Blockchain (transaction, block, block header, and the chain), its operations (hashing, verification, validation, and consensus model), underlying algorithms, and essentials of trust (hard fork and soft fork). Private and public Blockchain networks similar to Bitcoin and Ethereum will be introduced, as will concepts of Smart Contracts, Proof of Work and Proof of Stack, and cryptocurrency including Facebook’s Libra will be elucidated. Also, the book will address the relationship between Blockchain technology, Internet of Things (IoT), Artificial Intelligence (AI), Cybersecurity, Digital Transformation and Quantum Computing.Readers will understand the inner workings and applications of this disruptive technology and its potential impact on all aspects of the business world and society. A look at the future trends of Blockchain Technology will be presented in the book.

Regulatory Aspects of Artificial Intelligence on Blockchain

Author : Tehrani, Pardis Moslemzadeh
Publisher : IGI Global
ISBN 13 : 1799879291
Total Pages : 273 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Regulatory Aspects of Artificial Intelligence on Blockchain by : Tehrani, Pardis Moslemzadeh

Download or read book Regulatory Aspects of Artificial Intelligence on Blockchain written by Tehrani, Pardis Moslemzadeh and published by IGI Global. This book was released on 2021-09-24 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt: The convergence of Artificial Intelligence (AI) in blockchain creates one of the world’s most reliable technology-enabled decision-making systems that is virtually tamper-proof and provides solid insights and decisions. The integration of AI and Blockchain affects many aspects from food supply chain logistics and healthcare record sharing to media royalties and financial security. It is imperative that regulatory standards are emphasized in order to support positive outcomes from the integration of AI in blockchain technology. Regulatory Aspects of Artificial Intelligence on Blockchain provides relevant legal and security frameworks and the latest empirical research findings in blockchain and AI. Through the latest research and standards, the book identifies and offers solutions for overcoming legal consequences that pertain to the application of AI into the blockchain system, especially concerning the usage of smart contracts. The chapters, while investigating the legal and security issues associated with these applications, also include topics such as smart contacts, network vulnerability, cryptocurrency, machine learning, and more. This book is essential for technologists, security analysts, legal specialists, privacy and data security practitioners, IT consultants, standardization professionals, researchers, academicians, and students interested in blockchain and AI from a legal and security viewpoint.

Digital Forensics and Cyber Crime Investigation

Author : Ahmed A. Abd El-Latif
Publisher : CRC Press
ISBN 13 : 1040132766
Total Pages : 293 pages
Book Rating : 4.0/5 (41 download)

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Book Synopsis Digital Forensics and Cyber Crime Investigation by : Ahmed A. Abd El-Latif

Download or read book Digital Forensics and Cyber Crime Investigation written by Ahmed A. Abd El-Latif and published by CRC Press. This book was released on 2024-10-07 with total page 293 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the ever-evolving landscape of digital forensics and cybercrime investigation, staying ahead with the latest advancements is not just advantageous—it’s imperative. Digital Forensics and Cyber Crime Investigation: Recent Advances and Future Directions serves as a crucial bridge, connecting the dots between the present knowledge base and the fast-paced developments in this dynamic field. Through a collection of meticulous research and expert insights, this book dissects various facets of digital forensics and cyber security, providing readers with a comprehensive look at current trends and future possibilities. Distinguished by its in-depth analysis and forward-looking perspective, this volume sets itself apart as an indispensable resource for those keen on navigating the complexities of securing the digital domain. Key features of this book include: Innovative Strategies for Web Application Security: Insights into Moving Target Defense (MTD) techniques Blockchain Applications in Smart Cities: An examination of how blockchain technology can fortify data security and trust Latest Developments in Digital Forensics: A thorough overview of cutting-edge techniques and methodologies Advancements in Intrusion Detection: The role of Convolutional Neural Networks (CNN) in enhancing network security Augmented Reality in Crime Scene Investigations: How AR technology is transforming forensic science Emerging Techniques for Data Protection: From chaotic watermarking in multimedia to deep learning models for forgery detection This book aims to serve as a beacon for practitioners, researchers, and students who are navigating the intricate world of digital forensics and cyber security. By offering a blend of recent advancements and speculative future directions, it not only enriches the reader’s understanding of the subject matter but also inspires innovative thinking and applications in the field. Whether you’re a seasoned investigator, an academic, or a technology enthusiast, Digital Forensics and Cyber Crime Investigation: Recent Advances and Future Directions promises to be a valuable addition to your collection, pushing the boundaries of what’s possible in digital forensics and beyond.

Artificial Intelligence (AI) in Forensic Sciences

Author : Zeno Geradts
Publisher : John Wiley & Sons
ISBN 13 : 1119813328
Total Pages : 260 pages
Book Rating : 4.1/5 (198 download)

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Book Synopsis Artificial Intelligence (AI) in Forensic Sciences by : Zeno Geradts

Download or read book Artificial Intelligence (AI) in Forensic Sciences written by Zeno Geradts and published by John Wiley & Sons. This book was released on 2024-01-29 with total page 260 pages. Available in PDF, EPUB and Kindle. Book excerpt: ARTIFICIAL INTELLIGENCE (AI) IN FORENSIC SCIENCES Foundational text for teaching and learning within the field of Artificial Intelligence (AI) as it applies to forensic science Artificial Intelligence (AI) in Forensic Sciences presents an overview of the state-of-the-art applications of Artificial Intelligence within Forensic Science, covering issues with validation and new crimes that use AI; issues with triage, preselection, identification, argumentation and explain ability; demonstrating uses of AI in forensic science; and providing discussions on bias when using AI. The text discusses the challenges for the legal presentation of AI data and interpretation and offers solutions to this problem while addressing broader practical and emerging issues in a growing area of interest in forensics. It builds on key developing areas of focus in academic and government research, providing an authoritative and well-researched perspective. Compiled by two highly qualified editors with significant experience in the field, and part of the Wiley — AAFS series ‘Forensic Science in Focus’, Artificial Intelligence (AI) in Forensic Sciences includes information on: Cyber IoT, fundamentals on AI in forensic science, speaker and facial comparison, and deepfake detection Digital-based evidence creation, 3D and AI, interoperability of standards, and forensic audio and speech analysis Text analysis, video and multimedia analytics, reliability, privacy, network forensics, intelligence operations, argumentation support in court, and case applications Identification of genetic markers, current state and federal legislation with regards to AI, and forensics and fingerprint analysis Providing comprehensive coverage of the subject, Artificial Intelligence (AI) in Forensic Sciences is an essential advanced text for final year undergraduates and master’s students in forensic science, as well as universities teaching forensics (police, IT security, digital science and engineering), forensic product vendors and governmental and cyber security agencies.

Handbook of Big Data Analytics and Forensics

Author : Kim-Kwang Raymond Choo
Publisher : Springer Nature
ISBN 13 : 3030747530
Total Pages : 288 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Handbook of Big Data Analytics and Forensics by : Kim-Kwang Raymond Choo

Download or read book Handbook of Big Data Analytics and Forensics written by Kim-Kwang Raymond Choo and published by Springer Nature. This book was released on 2021-12-02 with total page 288 pages. Available in PDF, EPUB and Kindle. Book excerpt: This handbook discusses challenges and limitations in existing solutions, and presents state-of-the-art advances from both academia and industry, in big data analytics and digital forensics. The second chapter comprehensively reviews IoT security, privacy, and forensics literature, focusing on IoT and unmanned aerial vehicles (UAVs). The authors propose a deep learning-based approach to process cloud’s log data and mitigate enumeration attacks in the third chapter. The fourth chapter proposes a robust fuzzy learning model to protect IT-based infrastructure against advanced persistent threat (APT) campaigns. Advanced and fair clustering approach for industrial data, which is capable of training with huge volume of data in a close to linear time is introduced in the fifth chapter, as well as offering an adaptive deep learning model to detect cyberattacks targeting cyber physical systems (CPS) covered in the sixth chapter. The authors evaluate the performance of unsupervised machine learning for detecting cyberattacks against industrial control systems (ICS) in chapter 7, and the next chapter presents a robust fuzzy Bayesian approach for ICS’s cyber threat hunting. This handbook also evaluates the performance of supervised machine learning methods in identifying cyberattacks against CPS. The performance of a scalable clustering algorithm for CPS’s cyber threat hunting and the usefulness of machine learning algorithms for MacOS malware detection are respectively evaluated. This handbook continues with evaluating the performance of various machine learning techniques to detect the Internet of Things malware. The authors demonstrate how MacOSX cyberattacks can be detected using state-of-the-art machine learning models. In order to identify credit card frauds, the fifteenth chapter introduces a hybrid model. In the sixteenth chapter, the editors propose a model that leverages natural language processing techniques for generating a mapping between APT-related reports and cyber kill chain. A deep learning-based approach to detect ransomware is introduced, as well as a proposed clustering approach to detect IoT malware in the last two chapters. This handbook primarily targets professionals and scientists working in Big Data, Digital Forensics, Machine Learning, Cyber Security Cyber Threat Analytics and Cyber Threat Hunting as a reference book. Advanced level-students and researchers studying and working in Computer systems, Computer networks and Artificial intelligence will also find this reference useful.

Recent Trends in Blockchain for Information Systems Security and Privacy

Author : Amit Kumar Tyagi
Publisher : CRC Press
ISBN 13 : 1000474399
Total Pages : 362 pages
Book Rating : 4.0/5 (4 download)

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Book Synopsis Recent Trends in Blockchain for Information Systems Security and Privacy by : Amit Kumar Tyagi

Download or read book Recent Trends in Blockchain for Information Systems Security and Privacy written by Amit Kumar Tyagi and published by CRC Press. This book was released on 2021-11-23 with total page 362 pages. Available in PDF, EPUB and Kindle. Book excerpt: Blockchain technology is an emerging distributed, decentralized architecture and computing paradigm, which has accelerated the development and application of cloud, fog and edge computing; artificial intelligence; cyber physical systems; social networking; crowdsourcing and crowdsensing; 5g; trust management and finance; and other many useful sectors. Nowadays, the primary blockchain technology uses are in information systems to keep information secure and private. However, many threats and vulnerabilities are facing blockchain in the past decade such 51% attacks, double spending attacks, etc. The popularity and rapid development of blockchain brings many technical and regulatory challenges for research and academic communities. The main goal of this book is to encourage both researchers and practitioners of Blockchain technology to share and exchange their experiences and recent studies between academia and industry. The reader will be provided with the most up-to-date knowledge of blockchain in mainstream areas of security and privacy in the decentralized domain, which is timely and essential (this is due to the fact that the distributed and p2p applications are increasing day-by-day, and the attackers adopt new mechanisms to threaten the security and privacy of the users in those environments). This book provides a detailed explanation of security and privacy with respect to blockchain for information systems, and will be an essential resource for students, researchers and scientists studying blockchain uses in information systems and those wanting to explore the current state of play.

Blockchain Cybersecurity, Trust and Privacy

Author : Kim-Kwang Raymond Choo
Publisher : Springer Nature
ISBN 13 : 3030381811
Total Pages : 291 pages
Book Rating : 4.0/5 (33 download)

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Book Synopsis Blockchain Cybersecurity, Trust and Privacy by : Kim-Kwang Raymond Choo

Download or read book Blockchain Cybersecurity, Trust and Privacy written by Kim-Kwang Raymond Choo and published by Springer Nature. This book was released on 2020-03-02 with total page 291 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides the reader with the most up-to-date knowledge of blockchain in mainstream areas of security, trust, and privacy in the decentralized domain, which is timely and essential (this is due to the fact that the distributed and P2P applications is increasing day-by-day, and the attackers adopt new mechanisms to threaten the security and privacy of the users in those environments). This book also provides the technical information regarding blockchain-oriented software, applications, and tools required for the researcher and developer experts in both computing and software engineering to provide solutions and automated systems against current security, trust and privacy issues in the cyberspace. Cybersecurity, trust and privacy (CTP) are pressing needs for governments, businesses, and individuals, receiving the utmost priority for enforcement and improvement in almost any societies around the globe. Rapid advances, on the other hand, are being made in emerging blockchain technology with broadly diverse applications that promise to better meet business and individual needs. Blockchain as a promising infrastructural technology seems to have the potential to be leveraged in different aspects of cybersecurity promoting decentralized cyberinfrastructure. Blockchain characteristics such as decentralization, verifiability and immutability may revolve current cybersecurity mechanisms for ensuring the authenticity, reliability, and integrity of data. Almost any article on the blockchain points out that the cybersecurity (and its derivatives) could be revitalized if it is supported by blockchain technology. Yet, little is known about factors related to decisions to adopt this technology, and how it can systemically be put into use to remedy current CTP’s issues in the digital world. Topics of interest for this book include but not limited to: Blockchain-based authentication, authorization and accounting mechanisms Applications of blockchain technologies in digital forensic and threat hunting Blockchain-based threat intelligence and threat analytics techniques Formal specification of smart contracts Automated tools for outsmarting smart contracts Security and privacy aspects of blockchain technologies Vulnerabilities of smart contracts Blockchain for securing cyber infrastructure and internet of things networks Blockchain-based cybersecurity education systems This book provides information for security and privacy experts in all the areas of blockchain, cryptocurrency, cybersecurity, forensics, smart contracts, computer systems, computer networks, software engineering, applied artificial intelligence for computer security experts, big data analysts, and decentralized systems. Researchers, scientists and advanced level students working in computer systems, computer networks, artificial intelligence, big data will find this book useful as well.

Artificial Intelligence in Cyber Security: Impact and Implications

Author : Reza Montasari
Publisher : Springer Nature
ISBN 13 : 3030880400
Total Pages : 305 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Artificial Intelligence in Cyber Security: Impact and Implications by : Reza Montasari

Download or read book Artificial Intelligence in Cyber Security: Impact and Implications written by Reza Montasari and published by Springer Nature. This book was released on 2021-11-26 with total page 305 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book provides a valuable reference for cyber security experts, digital forensic practitioners and network security professionals. In recent years, AI has gained substantial attention from researchers in both academia and industry, and as a result AI’s capabilities are constantly increasing at an extraordinary pace. AI is considered to be the Fourth Industrial Revolution or at least the next significant technological change after the evolution in mobile and cloud computing technologies. AI is a vehicle for improving the quality of our lives across every spectrum with a broad range of beneficial applications in various sectors. Notwithstanding its numerous beneficial use, AI simultaneously poses numerous legal, ethical, security and privacy challenges that are compounded by its malicious use by criminals. These challenges pose many risks to both our privacy and security at national, organisational and individual levels. In view of this, this book aims to help address some of these challenges focusing on the implication, impact and mitigations of the stated issues. The book provides a comprehensive coverage of not only the technical and ethical issues presented by the use of AI but also the adversarial application of AI and its associated implications. The authors recommend a number of novel approaches to assist in better detecting, thwarting and addressing AI challenges. The book also looks ahead and forecasts what attacks can be carried out in the future through the malicious use of the AI if sufficient defences are not implemented. The research contained in the book fits well into the larger body of work on various aspects of AI and cyber security. It is also aimed at researchers seeking to obtain a more profound knowledge of machine learning and deep learning in the context of cyber security, digital forensics and cybercrime. Furthermore, the book is an exceptional advanced text for Ph.D. and master’s degree programmes in cyber security, digital forensics, network security, cyber terrorism and computer science. Each chapter contributed to the book is written by an internationally renowned expert who has extensive experience in law enforcement, industry or academia. Furthermore, this book blends advanced research findings with practice-based methods to provide the reader with advanced understanding and relevant skills.

Cybersecurity Challenges in the Age of AI, Space Communications and Cyborgs

Author : Hamid Jahankhani
Publisher : Springer Nature
ISBN 13 : 3031475941
Total Pages : 436 pages
Book Rating : 4.0/5 (314 download)

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Book Synopsis Cybersecurity Challenges in the Age of AI, Space Communications and Cyborgs by : Hamid Jahankhani

Download or read book Cybersecurity Challenges in the Age of AI, Space Communications and Cyborgs written by Hamid Jahankhani and published by Springer Nature. This book was released on with total page 436 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Privacy, Security And Forensics in The Internet of Things (IoT)

Author : Reza Montasari
Publisher : Springer Nature
ISBN 13 : 3030912183
Total Pages : 220 pages
Book Rating : 4.0/5 (39 download)

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Book Synopsis Privacy, Security And Forensics in The Internet of Things (IoT) by : Reza Montasari

Download or read book Privacy, Security And Forensics in The Internet of Things (IoT) written by Reza Montasari and published by Springer Nature. This book was released on 2022-02-16 with total page 220 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides the most recent security, privacy, technical and legal challenges in the IoT environments. This book offers a wide range of theoretical and technical solutions to address these challenges. Topics covered in this book include; IoT, privacy, ethics and security, the use of machine learning algorithms in classifying malicious websites, investigation of cases involving cryptocurrency, the challenges police and law enforcement face in policing cyberspace, the use of the IoT in modern terrorism and violent extremism, the challenges of the IoT in view of industrial control systems, and the impact of social media platforms on radicalisation to terrorism and violent extremism. This book also focuses on the ethical design of the IoT and the large volumes of data being collected and processed in an attempt to understand individuals’ perceptions of data and trust. A particular emphasis is placed on data ownership and perceived rights online. It examines cyber security challenges associated with the IoT, by making use of Industrial Control Systems, using an example with practical real-time considerations. Furthermore, this book compares and analyses different machine learning techniques, i.e., Gaussian Process Classification, Decision Tree Classification, and Support Vector Classification, based on their ability to learn and detect the attributes of malicious web applications. The data is subjected to multiple steps of pre-processing including; data formatting, missing value replacement, scaling and principal component analysis. This book has a multidisciplinary approach. Researchers working within security, privacy, technical and legal challenges in the IoT environments and advanced-level students majoring in computer science will find this book useful as a reference. Professionals working within this related field will also want to purchase this book.