Big Data Forensics Learning Hadoop Investigations

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Big Data Forensics – Learning Hadoop Investigations

Author : Joe Sremack
Publisher : Packt Publishing Ltd
ISBN 13 : 1785281216
Total Pages : 264 pages
Book Rating : 4.7/5 (852 download)

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Book Synopsis Big Data Forensics – Learning Hadoop Investigations by : Joe Sremack

Download or read book Big Data Forensics – Learning Hadoop Investigations written by Joe Sremack and published by Packt Publishing Ltd. This book was released on 2015-09-24 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: Perform forensic investigations on Hadoop clusters with cutting-edge tools and techniques About This Book Identify, collect, and analyze Hadoop evidence forensically Learn about Hadoop's internals and Big Data file storage concepts A step-by-step guide to help you perform forensic analysis using freely available tools Who This Book Is For This book is meant for statisticians and forensic analysts with basic knowledge of digital forensics. They do not need to know Big Data Forensics. If you are an IT professional, law enforcement professional, legal professional, or a student interested in Big Data and forensics, this book is the perfect hands-on guide for learning how to conduct Hadoop forensic investigations. Each topic and step in the forensic process is described in accessible language. What You Will Learn Understand Hadoop internals and file storage Collect and analyze Hadoop forensic evidence Perform complex forensic analysis for fraud and other investigations Use state-of-the-art forensic tools Conduct interviews to identify Hadoop evidence Create compelling presentations of your forensic findings Understand how Big Data clusters operate Apply advanced forensic techniques in an investigation, including file carving, statistical analysis, and more In Detail Big Data forensics is an important type of digital investigation that involves the identification, collection, and analysis of large-scale Big Data systems. Hadoop is one of the most popular Big Data solutions, and forensically investigating a Hadoop cluster requires specialized tools and techniques. With the explosion of Big Data, forensic investigators need to be prepared to analyze the petabytes of data stored in Hadoop clusters. Understanding Hadoop's operational structure and performing forensic analysis with court-accepted tools and best practices will help you conduct a successful investigation. Discover how to perform a complete forensic investigation of large-scale Hadoop clusters using the same tools and techniques employed by forensic experts. This book begins by taking you through the process of forensic investigation and the pitfalls to avoid. It will walk you through Hadoop's internals and architecture, and you will discover what types of information Hadoop stores and how to access that data. You will learn to identify Big Data evidence using techniques to survey a live system and interview witnesses. After setting up your own Hadoop system, you will collect evidence using techniques such as forensic imaging and application-based extractions. You will analyze Hadoop evidence using advanced tools and techniques to uncover events and statistical information. Finally, data visualization and evidence presentation techniques are covered to help you properly communicate your findings to any audience. Style and approach This book is a complete guide that follows every step of the forensic analysis process in detail. You will be guided through each key topic and step necessary to perform an investigation. Hands-on exercises are presented throughout the book, and technical reference guides and sample documents are included for real-world use.

Big Data Forensics - Learning Hadoop Investigations

Author : Joe Sremack
Publisher :
ISBN 13 : 9781785288104
Total Pages : 264 pages
Book Rating : 4.2/5 (881 download)

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Book Synopsis Big Data Forensics - Learning Hadoop Investigations by : Joe Sremack

Download or read book Big Data Forensics - Learning Hadoop Investigations written by Joe Sremack and published by . This book was released on 2015-08-25 with total page 264 pages. Available in PDF, EPUB and Kindle. Book excerpt: Perform forensic investigations on Hadoop clusters with cutting-edge tools and techniquesAbout This Book• Identify, collect, and analyze Hadoop evidence forensically• Learn about Hadoop's internals and Big Data file storage concepts• A step-by-step guide to help you perform forensic analysis using freely available toolsWho This Book Is ForThis book is meant for statisticians and forensic analysts with basic knowledge of digital forensics. They do not need to know Big Data Forensics. If you are an IT professional, law enforcement professional, legal professional, or a student interested in Big Data and forensics, this book is the perfect hands-on guide for learning how to conduct Hadoop forensic investigations. Each topic and step in the forensic process is described in accessible language.What You Will Learn• Understand Hadoop internals and file storage• Collect and analyze Hadoop forensic evidence• Perform complex forensic analysis for fraud and other investigations• Use state-of-the-art forensic tools• Conduct interviews to identify Hadoop evidence• Create compelling presentations of your forensic findings• Understand how Big Data clusters operate• Apply advanced forensic techniques in an investigation, including file carving, statistical analysis, and moreIn DetailBig Data forensics is an important type of digital investigation that involves the identification, collection, and analysis of large-scale Big Data systems. Hadoop is one of the most popular Big Data solutions, and forensically investigating a Hadoop cluster requires specialized tools and techniques. With the explosion of Big Data, forensic investigators need to be prepared to analyze the petabytes of data stored in Hadoop clusters. Understanding Hadoop's operational structure and performing forensic analysis with court-accepted tools and best practices will help you conduct a successful investigation.Discover how to perform a complete forensic investigation of large-scale Hadoop clusters using the same tools and techniques employed by forensic experts. This book begins by taking you through the process of forensic investigation and the pitfalls to avoid. It will walk you through Hadoop's internals and architecture, and you will discover what types of information Hadoop stores and how to access that data. You will learn to identify Big Data evidence using techniques to survey a live system and interview witnesses. After setting up your own Hadoop system, you will collect evidence using techniques such as forensic imaging and application-based extractions. You will analyze Hadoop evidence using advanced tools and techniques to uncover events and statistical information. Finally, data visualization and evidence presentation techniques are covered to help you properly communicate your findings to any audience.Style and approachThis book is a complete guide that follows every step of the forensic analysis process in detail. You will be guided through each key topic and step necessary to perform an investigation. Hands-on exercises are presented throughout the book, and technical reference guides and sample documents are included for real-world use.

Big Data Analytics and Computing for Digital Forensic Investigations

Author : Suneeta Satpathy
Publisher : CRC Press
ISBN 13 : 1000045056
Total Pages : 199 pages
Book Rating : 4.0/5 ( download)

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Book Synopsis Big Data Analytics and Computing for Digital Forensic Investigations by : Suneeta Satpathy

Download or read book Big Data Analytics and Computing for Digital Forensic Investigations written by Suneeta Satpathy and published by CRC Press. This book was released on 2020-03-17 with total page 199 pages. Available in PDF, EPUB and Kindle. Book excerpt: Digital forensics has recently gained a notable development and become the most demanding area in today’s information security requirement. This book investigates the areas of digital forensics, digital investigation and data analysis procedures as they apply to computer fraud and cybercrime, with the main objective of describing a variety of digital crimes and retrieving potential digital evidence. Big Data Analytics and Computing for Digital Forensic Investigations gives a contemporary view on the problems of information security. It presents the idea that protective mechanisms and software must be integrated along with forensic capabilities into existing forensic software using big data computing tools and techniques. Features Describes trends of digital forensics served for big data and the challenges of evidence acquisition Enables digital forensic investigators and law enforcement agencies to enhance their digital investigation capabilities with the application of data science analytics, algorithms and fusion technique This book is focused on helping professionals as well as researchers to get ready with next-generation security systems to mount the rising challenges of computer fraud and cybercrimes as well as with digital forensic investigations. Dr Suneeta Satpathy has more than ten years of teaching experience in different subjects of the Computer Science and Engineering discipline. She is currently working as an associate professor in the Department of Computer Science and Engineering, College of Bhubaneswar, affiliated with Biju Patnaik University and Technology, Odisha. Her research interests include computer forensics, cybersecurity, data fusion, data mining, big data analysis and decision mining. Dr Sachi Nandan Mohanty is an associate professor in the Department of Computer Science and Engineering at ICFAI Tech, ICFAI Foundation for Higher Education, Hyderabad, India. His research interests include data mining, big data analysis, cognitive science, fuzzy decision-making, brain–computer interface, cognition and computational intelligence.

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.

Mastering Python Forensics

Author : Dr. Michael Spreitzenbarth
Publisher : Packt Publishing Ltd
ISBN 13 : 1783988053
Total Pages : 192 pages
Book Rating : 4.7/5 (839 download)

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Book Synopsis Mastering Python Forensics by : Dr. Michael Spreitzenbarth

Download or read book Mastering Python Forensics written by Dr. Michael Spreitzenbarth and published by Packt Publishing Ltd. This book was released on 2015-10-30 with total page 192 pages. Available in PDF, EPUB and Kindle. Book excerpt: Master the art of digital forensics and analysis with Python About This Book Learn to perform forensic analysis and investigations with the help of Python, and gain an advanced understanding of the various Python libraries and frameworks Analyze Python scripts to extract metadata and investigate forensic artifacts The writers, Dr. Michael Spreitzenbarth and Dr. Johann Uhrmann, have used their experience to craft this hands-on guide to using Python for forensic analysis and investigations Who This Book Is For If you are a network security professional or forensics analyst who wants to gain a deeper understanding of performing forensic analysis with Python, then this book is for you. Some Python experience would be helpful. What You Will Learn Explore the forensic analysis of different platforms such as Windows, Android, and vSphere Semi-automatically reconstruct major parts of the system activity and time-line Leverage Python ctypes for protocol decoding Examine artifacts from mobile, Skype, and browsers Discover how to utilize Python to improve the focus of your analysis Investigate in volatile memory with the help of volatility on the Android and Linux platforms In Detail Digital forensic analysis is the process of examining and extracting data digitally and examining it. Python has the combination of power, expressiveness, and ease of use that makes it an essential complementary tool to the traditional, off-the-shelf digital forensic tools. This book will teach you how to perform forensic analysis and investigations by exploring the capabilities of various Python libraries. The book starts by explaining the building blocks of the Python programming language, especially ctypes in-depth, along with how to automate typical tasks in file system analysis, common correlation tasks to discover anomalies, as well as templates for investigations. Next, we'll show you cryptographic algorithms that can be used during forensic investigations to check for known files or to compare suspicious files with online services such as VirusTotal or Mobile-Sandbox. Moving on, you'll learn how to sniff on the network, generate and analyze network flows, and perform log correlation with the help of Python scripts and tools. You'll get to know about the concepts of virtualization and how virtualization influences IT forensics, and you'll discover how to perform forensic analysis of a jailbroken/rooted mobile device that is based on iOS or Android. Finally, the book teaches you how to analyze volatile memory and search for known malware samples based on YARA rules. Style and approach This easy-to-follow guide will demonstrate forensic analysis techniques by showing you how to solve real-word-scenarios step by step.

Network Security Strategies

Author : Aditya Mukherjee
Publisher : Packt Publishing Ltd
ISBN 13 : 1789801052
Total Pages : 378 pages
Book Rating : 4.7/5 (898 download)

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Book Synopsis Network Security Strategies by : Aditya Mukherjee

Download or read book Network Security Strategies written by Aditya Mukherjee and published by Packt Publishing Ltd. This book was released on 2020-11-06 with total page 378 pages. Available in PDF, EPUB and Kindle. Book excerpt: Build a resilient network and prevent advanced cyber attacks and breaches Key Features Explore modern cybersecurity techniques to protect your networks from ever-evolving cyber threats Prevent cyber attacks by using robust cybersecurity strategies Unlock the secrets of network security Book Description With advanced cyber attacks severely impacting industry giants and the constantly evolving threat landscape, organizations are adopting complex systems to maintain robust and secure environments. Network Security Strategies will help you get well-versed with the tools and techniques required to protect any network environment against modern cyber threats. You'll understand how to identify security vulnerabilities across the network and how to effectively use a variety of network security techniques and platforms. Next, the book will show you how to design a robust network that provides top-notch security to protect against traditional and new evolving attacks. With the help of detailed solutions and explanations, you'll be able to monitor networks skillfully and identify potential risks. Finally, the book will cover topics relating to thought leadership and the management aspects of network security. By the end of this network security book, you'll be well-versed in defending your network from threats and be able to consistently maintain operational efficiency, security, and privacy in your environment. What you will learn Understand network security essentials, including concepts, mechanisms, and solutions to implement secure networks Get to grips with setting up and threat monitoring cloud and wireless networks Defend your network against emerging cyber threats in 2020 Discover tools, frameworks, and best practices for network penetration testing Understand digital forensics to enhance your network security skills Adopt a proactive approach to stay ahead in network security Who this book is for This book is for anyone looking to explore information security, privacy, malware, and cyber threats. Security experts who want to enhance their skill set will also find this book useful. A prior understanding of cyber threats and information security will help you understand the key concepts covered in the book more effectively.

Big Digital Forensic Data

Author : Darren Quick
Publisher : Springer
ISBN 13 : 9811077630
Total Pages : 96 pages
Book Rating : 4.8/5 (11 download)

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Book Synopsis Big Digital Forensic Data by : Darren Quick

Download or read book Big Digital Forensic Data written by Darren Quick and published by Springer. This book was released on 2018-04-24 with total page 96 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an in-depth understanding of big data challenges to digital forensic investigations, also known as big digital forensic data. It also develops the basis of using data mining in big forensic data analysis, including data reduction, knowledge management, intelligence, and data mining principles to achieve faster analysis in digital forensic investigations. By collecting and assembling a corpus of test data from a range of devices in the real world, it outlines a process of big data reduction, and evidence and intelligence extraction methods. Further, it includes the experimental results on vast volumes of real digital forensic data. The book is a valuable resource for digital forensic practitioners, researchers in big data, cyber threat hunting and intelligence, data mining and other related areas.

Deep Learning Techniques for IoT Security and Privacy

Author : Mohamed Abdel-Basset
Publisher : Springer Nature
ISBN 13 : 3030890252
Total Pages : 273 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Deep Learning Techniques for IoT Security and Privacy by : Mohamed Abdel-Basset

Download or read book Deep Learning Techniques for IoT Security and Privacy written by Mohamed Abdel-Basset and published by Springer Nature. This book was released on 2021-12-05 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book states that the major aim audience are people who have some familiarity with Internet of things (IoT) but interested to get a comprehensive interpretation of the role of deep Learning in maintaining the security and privacy of IoT. A reader should be friendly with Python and the basics of machine learning and deep learning. Interpretation of statistics and probability theory will be a plus but is not certainly vital for identifying most of the book's material.

Cyber and Digital Forensic Investigations

Author : Nhien-An Le-Khac
Publisher : Springer Nature
ISBN 13 : 3030471314
Total Pages : 287 pages
Book Rating : 4.0/5 (34 download)

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Book Synopsis Cyber and Digital Forensic Investigations by : Nhien-An Le-Khac

Download or read book Cyber and Digital Forensic Investigations written by Nhien-An Le-Khac and published by Springer Nature. This book was released on 2020-07-25 with total page 287 pages. Available in PDF, EPUB and Kindle. Book excerpt: Understanding the latest capabilities in the cyber threat landscape as well as the cyber forensic challenges and approaches is the best way users and organizations can prepare for potential negative events. Adopting an experiential learning approach, this book describes how cyber forensics researchers, educators and practitioners can keep pace with technological advances, and acquire the essential knowledge and skills, ranging from IoT forensics, malware analysis, and CCTV and cloud forensics to network forensics and financial investigations. Given the growing importance of incident response and cyber forensics in our digitalized society, this book will be of interest and relevance to researchers, educators and practitioners in the field, as well as students wanting to learn about cyber forensics.

Securing IoT and Big Data

Author : Vijayalakshmi Saravanan
Publisher : CRC Press
ISBN 13 : 100025853X
Total Pages : 187 pages
Book Rating : 4.0/5 (2 download)

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Book Synopsis Securing IoT and Big Data by : Vijayalakshmi Saravanan

Download or read book Securing IoT and Big Data written by Vijayalakshmi Saravanan and published by CRC Press. This book was released on 2020-12-17 with total page 187 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers IoT and Big Data from a technical and business point of view. The book explains the design principles, algorithms, technical knowledge, and marketing for IoT systems. It emphasizes applications of big data and IoT. It includes scientific algorithms and key techniques for fusion of both areas. Real case applications from different industries are offering to facilitate ease of understanding the approach. The book goes on to address the significance of security algorithms in combing IoT and big data which is currently evolving in communication technologies. The book is written for researchers, professionals, and academicians from interdisciplinary and transdisciplinary areas. The readers will get an opportunity to know the conceptual ideas with step-by-step pragmatic examples which makes ease of understanding no matter the level of the reader.

Big Digital Forensic Data

Author : Darren Quick
Publisher : Springer
ISBN 13 : 9811302634
Total Pages : 86 pages
Book Rating : 4.8/5 (113 download)

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Book Synopsis Big Digital Forensic Data by : Darren Quick

Download or read book Big Digital Forensic Data written by Darren Quick and published by Springer. This book was released on 2018-06-12 with total page 86 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an in-depth understanding of big data challenges to digital forensic investigations, also known as big digital forensic data. It also develops the basis of using data mining in big forensic data analysis, including data reduction, knowledge management, intelligence, and data mining principles to achieve faster analysis in digital forensic investigations. By collecting and assembling a corpus of test data from a range of devices in the real world, it outlines a process of big digital forensic data analysis for evidence and intelligence. It includes the results of experiments on vast volumes of real digital forensic data. The book is a valuable resource for digital forensic practitioners, researchers in big data, cyber threat hunting and intelligence, data mining and other related areas.

A Practical Hands-on Approach to Database Forensics

Author : Nhien-An Le-Khac
Publisher : Springer Nature
ISBN 13 : 3031161270
Total Pages : 302 pages
Book Rating : 4.0/5 (311 download)

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Book Synopsis A Practical Hands-on Approach to Database Forensics by : Nhien-An Le-Khac

Download or read book A Practical Hands-on Approach to Database Forensics written by Nhien-An Le-Khac and published by Springer Nature. This book was released on 2022-10-21 with total page 302 pages. Available in PDF, EPUB and Kindle. Book excerpt: Adopting an experimental learning approach, this book describes a practical forensic process to acquire and analyze databases from a given device and/or application. Databases hold important, sensitive, and/or confidential information and are a crucial source of evidence in any digital investigation. This also reinforces the importance of keeping up to date on the cyber-threat landscape as well as any associated database forensic challenges and approaches. The book also guides cyber-forensic researchers, educators, and practitioners through the process of conducting database forensics and investigations on mobile devices, Internet of Things (IoT) devices, web browsers, and end-to-end encrypted instant messaging applications. Given the fast-changing database forensics landscape, this book will be of interest to researchers, educators, and practitioners in the field, as well as students who want to learn about the database investigation.

Handbook of Big Data and IoT Security

Author : Ali Dehghantanha
Publisher : Springer
ISBN 13 : 3030105431
Total Pages : 384 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Handbook of Big Data and IoT Security by : Ali Dehghantanha

Download or read book Handbook of Big Data and IoT Security written by Ali Dehghantanha and published by Springer. This book was released on 2019-03-22 with total page 384 pages. Available in PDF, EPUB and Kindle. Book excerpt: This handbook provides an overarching view of cyber security and digital forensic challenges related to big data and IoT environment, prior to reviewing existing data mining solutions and their potential application in big data context, and existing authentication and access control for IoT devices. An IoT access control scheme and an IoT forensic framework is also presented in this book, and it explains how the IoT forensic framework can be used to guide investigation of a popular cloud storage service. A distributed file system forensic approach is also presented, which is used to guide the investigation of Ceph. Minecraft, a Massively Multiplayer Online Game, and the Hadoop distributed file system environment are also forensically studied and their findings reported in this book. A forensic IoT source camera identification algorithm is introduced, which uses the camera's sensor pattern noise from the captured image. In addition to the IoT access control and forensic frameworks, this handbook covers a cyber defense triage process for nine advanced persistent threat (APT) groups targeting IoT infrastructure, namely: APT1, Molerats, Silent Chollima, Shell Crew, NetTraveler, ProjectSauron, CopyKittens, Volatile Cedar and Transparent Tribe. The characteristics of remote-controlled real-world Trojans using the Cyber Kill Chain are also examined. It introduces a method to leverage different crashes discovered from two fuzzing approaches, which can be used to enhance the effectiveness of fuzzers. Cloud computing is also often associated with IoT and big data (e.g., cloud-enabled IoT systems), and hence a survey of the cloud security literature and a survey of botnet detection approaches are presented in the book. Finally, game security solutions are studied and explained how one may circumvent such solutions. This handbook targets the security, privacy and forensics research community, and big data research community, including policy makers and government agencies, public and private organizations policy makers. Undergraduate and postgraduate students enrolled in cyber security and forensic programs will also find this handbook useful as a reference.

Cybersecurity, Privacy and Freedom Protection in the Connected World

Author : Hamid Jahankhani
Publisher : Springer Nature
ISBN 13 : 3030685349
Total Pages : 463 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Cybersecurity, Privacy and Freedom Protection in the Connected World by : Hamid Jahankhani

Download or read book Cybersecurity, Privacy and Freedom Protection in the Connected World written by Hamid Jahankhani and published by Springer Nature. This book was released on 2021-05-20 with total page 463 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides an opportunity for investigators, government officials, systems scientists, strategists, assurance researchers, owners, operators and maintainers of large, complex and advanced systems and infrastructures to update their knowledge with the state of best practice in the challenging domains whilst networking with the leading representatives, researchers and solution providers. Drawing on 12 years of successful events on information security, digital forensics and cyber-crime, the 13th ICGS3-20 conference aims to provide attendees with an information-packed agenda with representatives from across the industry and the globe. The challenges of complexity, rapid pace of change and risk/opportunity issues associated with modern products, systems, special events and infrastructures. In an era of unprecedented volatile, political and economic environment across the world, computer-based systems face ever more increasing challenges, disputes and responsibilities, and whilst the Internet has created a global platform for the exchange of ideas, goods and services, it has also created boundless opportunities for cyber-crime. As an increasing number of large organizations and individuals use the Internet and its satellite mobile technologies, they are increasingly vulnerable to cyber-crime threats. It is therefore paramount that the security industry raises its game to combat these threats. Whilst there is a huge adoption of technology and smart home devices, comparably, there is a rise of threat vector in the abuse of the technology in domestic violence inflicted through IoT too. All these are an issue of global importance as law enforcement agencies all over the world are struggling to cope.

Artificial Intelligence for Cyber Defense and Smart Policing

Author : S Vijayalakshmi
Publisher : CRC Press
ISBN 13 : 1003815537
Total Pages : 187 pages
Book Rating : 4.0/5 (38 download)

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Book Synopsis Artificial Intelligence for Cyber Defense and Smart Policing by : S Vijayalakshmi

Download or read book Artificial Intelligence for Cyber Defense and Smart Policing written by S Vijayalakshmi and published by CRC Press. This book was released on 2024-03-19 with total page 187 pages. Available in PDF, EPUB and Kindle. Book excerpt: The future policing ought to cover identification of new assaults, disclosure of new ill-disposed patterns, and forecast of any future vindictive patterns from accessible authentic information. Such keen information will bring about building clever advanced proof handling frameworks that will help cops investigate violations. Artificial Intelligence for Cyber Defense and Smart Policing will describe the best way of practicing artificial intelligence for cyber defense and smart policing. Salient Features: • Combines AI for both cyber defense and smart policing in one place. • Covers novel strategies in future to help cybercrime examinations and police. • Discusses different AI models to fabricate more exact techniques. • Elaborates on problematization and international issues. • Includes case studies and real-life examples. This book is primarily aimed at graduates, researchers, and IT professionals. Business executives will also find this book helpful.

Emerging Trends in Intelligent Systems & Network Security

Author : Mohamed Ben Ahmed
Publisher : Springer Nature
ISBN 13 : 3031151917
Total Pages : 549 pages
Book Rating : 4.0/5 (311 download)

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Book Synopsis Emerging Trends in Intelligent Systems & Network Security by : Mohamed Ben Ahmed

Download or read book Emerging Trends in Intelligent Systems & Network Security written by Mohamed Ben Ahmed and published by Springer Nature. This book was released on 2022-08-31 with total page 549 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers selected research works presented at the fifth International Conference on Networking, Information Systems and Security (NISS 2022), organized by the Research Center for Data and Information Sciences at the National Research and Innovation Agency (BRIN), Republic of Indonesia, and Moroccan Mediterranean Association of Sciences and Sustainable Development, Morocco, during March 30–31, 2022, hosted in online mode in Bandung, Indonesia. Building on the successful history of the conference series in the recent four years, this book aims to present the paramount role of connecting researchers around the world to disseminate and share new ideas in intelligent information systems, cyber-security, and networking technologies. The 49 chapters presented in this book were carefully reviewed and selected from 115 submissions. They focus on delivering intelligent solutions through leveraging advanced information systems, networking, and security for competitive advantage and cost savings in modern industrial sectors as well as public, business, and education sectors. Authors are eminent academicians, scientists, researchers, and scholars in their respective fields from across the world.

Machine Learning Forensics for Law Enforcement, Security, and Intelligence

Author : Jesus Mena
Publisher : CRC Press
ISBN 13 : 1466508523
Total Pages : 351 pages
Book Rating : 4.4/5 (665 download)

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Book Synopsis Machine Learning Forensics for Law Enforcement, Security, and Intelligence by : Jesus Mena

Download or read book Machine Learning Forensics for Law Enforcement, Security, and Intelligence written by Jesus Mena and published by CRC Press. This book was released on 2016-04-19 with total page 351 pages. Available in PDF, EPUB and Kindle. Book excerpt: Increasingly, crimes and fraud are digital in nature, occurring at breakneck speed and encompassing large volumes of data. To combat this unlawful activity, knowledge about the use of machine learning technology and software is critical. Machine Learning Forensics for Law Enforcement, Security, and Intelligence integrates an assortment of deductive