Advances In Malware And Data Driven Network Security

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Advances in Malware and Data-Driven Network Security

Author : Gupta, Brij B.
Publisher : IGI Global
ISBN 13 : 1799877914
Total Pages : 304 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Advances in Malware and Data-Driven Network Security by : Gupta, Brij B.

Download or read book Advances in Malware and Data-Driven Network Security written by Gupta, Brij B. and published by IGI Global. This book was released on 2021-11-12 with total page 304 pages. Available in PDF, EPUB and Kindle. Book excerpt: Every day approximately three-hundred thousand to four-hundred thousand new malware are registered, many of them being adware and variants of previously known malware. Anti-virus companies and researchers cannot deal with such a deluge of malware – to analyze and build patches. The only way to scale the efforts is to build algorithms to enable machines to analyze malware and classify and cluster them to such a level of granularity that it will enable humans (or machines) to gain critical insights about them and build solutions that are specific enough to detect and thwart existing malware and generic-enough to thwart future variants. Advances in Malware and Data-Driven Network Security comprehensively covers data-driven malware security with an emphasis on using statistical, machine learning, and AI as well as the current trends in ML/statistical approaches to detecting, clustering, and classification of cyber-threats. Providing information on advances in malware and data-driven network security as well as future research directions, it is ideal for graduate students, academicians, faculty members, scientists, software developers, security analysts, computer engineers, programmers, IT specialists, and researchers who are seeking to learn and carry out research in the area of malware and data-driven network security.

Android Malware Detection using Machine Learning

Author : ElMouatez Billah Karbab
Publisher : Springer Nature
ISBN 13 : 303074664X
Total Pages : 212 pages
Book Rating : 4.0/5 (37 download)

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Book Synopsis Android Malware Detection using Machine Learning by : ElMouatez Billah Karbab

Download or read book Android Malware Detection using Machine Learning written by ElMouatez Billah Karbab and published by Springer Nature. This book was released on 2021-07-10 with total page 212 pages. Available in PDF, EPUB and Kindle. Book excerpt: The authors develop a malware fingerprinting framework to cover accurate android malware detection and family attribution in this book. The authors emphasize the following: (1) the scalability over a large malware corpus; (2) the resiliency to common obfuscation techniques; (3) the portability over different platforms and architectures. First, the authors propose an approximate fingerprinting technique for android packaging that captures the underlying static structure of the android applications in the context of bulk and offline detection at the app-market level. This book proposes a malware clustering framework to perform malware clustering by building and partitioning the similarity network of malicious applications on top of this fingerprinting technique. Second, the authors propose an approximate fingerprinting technique that leverages dynamic analysis and natural language processing techniques to generate Android malware behavior reports. Based on this fingerprinting technique, the authors propose a portable malware detection framework employing machine learning classification. Third, the authors design an automatic framework to produce intelligence about the underlying malicious cyber-infrastructures of Android malware. The authors then leverage graph analysis techniques to generate relevant intelligence to identify the threat effects of malicious Internet activity associated with android malware. The authors elaborate on an effective android malware detection system, in the online detection context at the mobile device level. It is suitable for deployment on mobile devices, using machine learning classification on method call sequences. Also, it is resilient to common code obfuscation techniques and adaptive to operating systems and malware change overtime, using natural language processing and deep learning techniques. Researchers working in mobile and network security, machine learning and pattern recognition will find this book useful as a reference. Advanced-level students studying computer science within these topic areas will purchase this book as well.

Big Data Analytics in Fog-Enabled IoT Networks

Author : Govind P. Gupta
Publisher : CRC Press
ISBN 13 : 1000861864
Total Pages : 235 pages
Book Rating : 4.0/5 (8 download)

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Book Synopsis Big Data Analytics in Fog-Enabled IoT Networks by : Govind P. Gupta

Download or read book Big Data Analytics in Fog-Enabled IoT Networks written by Govind P. Gupta and published by CRC Press. This book was released on 2023-04-19 with total page 235 pages. Available in PDF, EPUB and Kindle. Book excerpt: The integration of fog computing with the resource-limited Internet of Things (IoT) network formulates the concept of the fog-enabled IoT system. Due to a large number of IoT devices, the IoT is a main source of Big Data. A large volume of sensing data is generated by IoT systems such as smart cities and smart-grid applications. A fundamental research issue is how to provide a fast and efficient data analytics solution for fog-enabled IoT systems. Big Data Analytics in Fog-Enabled IoT Networks: Towards a Privacy and Security Perspective focuses on Big Data analytics in a fog-enabled-IoT system and provides a comprehensive collection of chapters that touch on different issues related to healthcare systems, cyber-threat detection, malware detection, and the security and privacy of IoT Big Data and IoT networks. This book also emphasizes and facilitates a greater understanding of various security and privacy approaches using advanced artificial intelligence and Big Data technologies such as machine and deep learning, federated learning, blockchain, and edge computing, as well as the countermeasures to overcome the vulnerabilities of the fog-enabled IoT system.

Cybersecurity in Intelligent Networking Systems

Author : Shengjie Xu
Publisher : John Wiley & Sons
ISBN 13 : 1119783917
Total Pages : 148 pages
Book Rating : 4.1/5 (197 download)

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Book Synopsis Cybersecurity in Intelligent Networking Systems by : Shengjie Xu

Download or read book Cybersecurity in Intelligent Networking Systems written by Shengjie Xu and published by John Wiley & Sons. This book was released on 2023-01-24 with total page 148 pages. Available in PDF, EPUB and Kindle. Book excerpt: CYBERSECURITY IN INTELLIGENT NETWORKING SYSTEMS Help protect your network system with this important reference work on cybersecurity Cybersecurity and privacy are critical to modern network systems. As various malicious threats have been launched that target critical online services—such as e-commerce, e-health, social networks, and other major cyber applications—it has become more critical to protect important information from being accessed. Data-driven network intelligence is a crucial development in protecting the security of modern network systems and ensuring information privacy. Cybersecurity in Intelligent Networking Systems provides a background introduction to data-driven cybersecurity, privacy preservation, and adversarial machine learning. It offers a comprehensive introduction to exploring technologies, applications, and issues in data-driven cyber infrastructure. It describes a proposed novel, data-driven network intelligence system that helps provide robust and trustworthy safeguards with edge-enabled cyber infrastructure, edge-enabled artificial intelligence (AI) engines, and threat intelligence. Focusing on encryption-based security protocol, this book also highlights the capability of a network intelligence system in helping target and identify unauthorized access, malicious interactions, and the destruction of critical information and communication technology. Cybersecurity in Intelligent Networking Systems readers will also find: Fundamentals in AI for cybersecurity, including artificial intelligence, machine learning, and security threats Latest technologies in data-driven privacy preservation, including differential privacy, federated learning, and homomorphic encryption Key areas in adversarial machine learning, from both offense and defense perspectives Descriptions of network anomalies and cyber threats Background information on data-driven network intelligence for cybersecurity Robust and secure edge intelligence for network anomaly detection against cyber intrusions Detailed descriptions of the design of privacy-preserving security protocols Cybersecurity in Intelligent Networking Systems is an essential reference for all professional computer engineers and researchers in cybersecurity and artificial intelligence, as well as graduate students in these fields.

Advances in Cyber Security

Author : Nibras Abdullah
Publisher : Springer Nature
ISBN 13 : 9811680590
Total Pages : 611 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Advances in Cyber Security by : Nibras Abdullah

Download or read book Advances in Cyber Security written by Nibras Abdullah and published by Springer Nature. This book was released on 2021-12-02 with total page 611 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents refereed proceedings of the Third International Conference on Advances in Cyber Security, ACeS 2021, held in Penang, Malaysia, in August 2021. The 36 full papers were carefully reviewed and selected from 92 submissions. The papers are organized in the following topical sections: Internet of Things, Industry 4.0 and Blockchain, and Cryptology; Digital Forensics and Surveillance, Botnet and Malware, DDoS, and Intrusion Detection/Prevention; Ambient Cloud and Edge Computing, SDN, Wireless and Cellular Communication; Governance, Social Media, Mobile and Web, Data Privacy, Data Policy and Fake News.

Game Theory and Machine Learning for Cyber Security

Author : Charles A. Kamhoua
Publisher : John Wiley & Sons
ISBN 13 : 1119723949
Total Pages : 546 pages
Book Rating : 4.1/5 (197 download)

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Book Synopsis Game Theory and Machine Learning for Cyber Security by : Charles A. Kamhoua

Download or read book Game Theory and Machine Learning for Cyber Security written by Charles A. Kamhoua and published by John Wiley & Sons. This book was released on 2021-09-08 with total page 546 pages. Available in PDF, EPUB and Kindle. Book excerpt: GAME THEORY AND MACHINE LEARNING FOR CYBER SECURITY Move beyond the foundations of machine learning and game theory in cyber security to the latest research in this cutting-edge field In Game Theory and Machine Learning for Cyber Security, a team of expert security researchers delivers a collection of central research contributions from both machine learning and game theory applicable to cybersecurity. The distinguished editors have included resources that address open research questions in game theory and machine learning applied to cyber security systems and examine the strengths and limitations of current game theoretic models for cyber security. Readers will explore the vulnerabilities of traditional machine learning algorithms and how they can be mitigated in an adversarial machine learning approach. The book offers a comprehensive suite of solutions to a broad range of technical issues in applying game theory and machine learning to solve cyber security challenges. Beginning with an introduction to foundational concepts in game theory, machine learning, cyber security, and cyber deception, the editors provide readers with resources that discuss the latest in hypergames, behavioral game theory, adversarial machine learning, generative adversarial networks, and multi-agent reinforcement learning. Readers will also enjoy: A thorough introduction to game theory for cyber deception, including scalable algorithms for identifying stealthy attackers in a game theoretic framework, honeypot allocation over attack graphs, and behavioral games for cyber deception An exploration of game theory for cyber security, including actionable game-theoretic adversarial intervention detection against advanced persistent threats Practical discussions of adversarial machine learning for cyber security, including adversarial machine learning in 5G security and machine learning-driven fault injection in cyber-physical systems In-depth examinations of generative models for cyber security Perfect for researchers, students, and experts in the fields of computer science and engineering, Game Theory and Machine Learning for Cyber Security is also an indispensable resource for industry professionals, military personnel, researchers, faculty, and students with an interest in cyber security.

Advances in Security in Computing and Communications

Author : Jaydip Sen
Publisher : BoD – Books on Demand
ISBN 13 : 9535133454
Total Pages : 194 pages
Book Rating : 4.5/5 (351 download)

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Book Synopsis Advances in Security in Computing and Communications by : Jaydip Sen

Download or read book Advances in Security in Computing and Communications written by Jaydip Sen and published by BoD – Books on Demand. This book was released on 2017-07-19 with total page 194 pages. Available in PDF, EPUB and Kindle. Book excerpt: In the era of Internet of Things (IoT) and with the explosive worldwide growth of electronic data volume, and associated need of processing, analysis, and storage of such humongous volume of data, several new challenges are faced in protecting privacy of sensitive data and securing systems by designing novel schemes for secure authentication, integrity protection, encryption, and non-repudiation. Lightweight symmetric key cryptography and adaptive network security algorithms are in demand for mitigating these challenges. This book presents some of the state-of-the-art research work in the field of cryptography and security in computing and communications. It is a valuable source of knowledge for researchers, engineers, practitioners, graduates, and doctoral students who are working in the field of cryptography, network security, and security and privacy issues in the Internet of Things (IoT). It will also be useful for faculty members of graduate schools and universities.

Data Analytics and Decision Support for Cybersecurity

Author : Iván Palomares Carrascosa
Publisher : Springer
ISBN 13 : 3319594397
Total Pages : 270 pages
Book Rating : 4.3/5 (195 download)

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Book Synopsis Data Analytics and Decision Support for Cybersecurity by : Iván Palomares Carrascosa

Download or read book Data Analytics and Decision Support for Cybersecurity written by Iván Palomares Carrascosa and published by Springer. This book was released on 2017-08-01 with total page 270 pages. Available in PDF, EPUB and Kindle. Book excerpt: The book illustrates the inter-relationship between several data management, analytics and decision support techniques and methods commonly adopted in Cybersecurity-oriented frameworks. The recent advent of Big Data paradigms and the use of data science methods, has resulted in a higher demand for effective data-driven models that support decision-making at a strategic level. This motivates the need for defining novel data analytics and decision support approaches in a myriad of real-life scenarios and problems, with Cybersecurity-related domains being no exception. This contributed volume comprises nine chapters, written by leading international researchers, covering a compilation of recent advances in Cybersecurity-related applications of data analytics and decision support approaches. In addition to theoretical studies and overviews of existing relevant literature, this book comprises a selection of application-oriented research contributions. The investigations undertaken across these chapters focus on diverse and critical Cybersecurity problems, such as Intrusion Detection, Insider Threats, Insider Threats, Collusion Detection, Run-Time Malware Detection, Intrusion Detection, E-Learning, Online Examinations, Cybersecurity noisy data removal, Secure Smart Power Systems, Security Visualization and Monitoring. Researchers and professionals alike will find the chapters an essential read for further research on the topic.

Data Exfiltration Threats and Prevention Techniques

Author : Zahir Tari
Publisher : John Wiley & Sons
ISBN 13 : 1119898897
Total Pages : 292 pages
Book Rating : 4.1/5 (198 download)

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Book Synopsis Data Exfiltration Threats and Prevention Techniques by : Zahir Tari

Download or read book Data Exfiltration Threats and Prevention Techniques written by Zahir Tari and published by John Wiley & Sons. This book was released on 2023-05-22 with total page 292 pages. Available in PDF, EPUB and Kindle. Book excerpt: DATA EXFILTRATION THREATS AND PREVENTION TECHNIQUES Comprehensive resource covering threat prevention techniques for data exfiltration and applying machine learning applications to aid in identification and prevention Data Exfiltration Threats and Prevention Techniques provides readers the knowledge needed to prevent and protect from malware attacks by introducing existing and recently developed methods in malware protection using AI, memory forensic, and pattern matching, presenting various data exfiltration attack vectors and advanced memory-based data leakage detection, and discussing ways in which machine learning methods have a positive impact on malware detection. Providing detailed descriptions of the recent advances in data exfiltration detection methods and technologies, the authors also discuss details of data breach countermeasures and attack scenarios to show how the reader may identify a potential cyber attack in the real world. Composed of eight chapters, this book presents a better understanding of the core issues related to the cyber-attacks as well as the recent methods that have been developed in the field. In Data Exfiltration Threats and Prevention Techniques, readers can expect to find detailed information on: Sensitive data classification, covering text pre-processing, supervised text classification, automated text clustering, and other sensitive text detection approaches Supervised machine learning technologies for intrusion detection systems, covering taxonomy and benchmarking of supervised machine learning techniques Behavior-based malware detection using API-call sequences, covering API-call extraction techniques and detecting data stealing behavior based on API-call sequences Memory-based sensitive data monitoring for real-time data exfiltration detection and advanced time delay data exfiltration attack and detection Aimed at professionals and students alike, Data Exfiltration Threats and Prevention Techniques highlights a range of machine learning methods that can be used to detect potential data theft and identifies research gaps and the potential to make change in the future as technology continues to grow.

Global Perspectives on Information Security Regulations: Compliance, Controls, and Assurance

Author : Francia III, Guillermo A.
Publisher : IGI Global
ISBN 13 : 1799883922
Total Pages : 309 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Global Perspectives on Information Security Regulations: Compliance, Controls, and Assurance by : Francia III, Guillermo A.

Download or read book Global Perspectives on Information Security Regulations: Compliance, Controls, and Assurance written by Francia III, Guillermo A. and published by IGI Global. This book was released on 2022-05-27 with total page 309 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent decades have seen a proliferation of cybersecurity guidance in the form of government regulations and standards with which organizations must comply. As society becomes more heavily dependent on cyberspace, increasing levels of security measures will need to be established and maintained to protect the confidentiality, integrity, and availability of information. Global Perspectives on Information Security Regulations: Compliance, Controls, and Assurance summarizes current cybersecurity guidance and provides a compendium of innovative and state-of-the-art compliance and assurance practices and tools. It provides a synopsis of current cybersecurity guidance that organizations should consider so that management and their auditors can regularly evaluate their extent of compliance. Covering topics such as cybersecurity laws, deepfakes, and information protection, this premier reference source is an excellent resource for cybersecurity consultants and professionals, IT specialists, business leaders and managers, government officials, faculty and administration of both K-12 and higher education, libraries, students and educators of higher education, researchers, and academicians.

Handbook of Research on Cyber Law, Data Protection, and Privacy

Author : Dewani, Nisha Dhanraj
Publisher : IGI Global
ISBN 13 : 1799886433
Total Pages : 390 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Handbook of Research on Cyber Law, Data Protection, and Privacy by : Dewani, Nisha Dhanraj

Download or read book Handbook of Research on Cyber Law, Data Protection, and Privacy written by Dewani, Nisha Dhanraj and published by IGI Global. This book was released on 2022-04-22 with total page 390 pages. Available in PDF, EPUB and Kindle. Book excerpt: The advancement of information and communication technology has led to a multi-dimensional impact in the areas of law, regulation, and governance. Many countries have declared data protection a fundamental right and established reforms of data protection law aimed at modernizing the global regulatory framework. Due to these advancements in policy, the legal domain has to face many challenges at a rapid pace making it essential to study and discuss policies and laws that regulate and monitor these activities and anticipate new laws that should be implemented in order to protect users. The Handbook of Research on Cyber Law, Data Protection, and Privacy focuses acutely on the complex relationships of technology and law both in terms of substantive legal responses to legal, social, and ethical issues arising in connection with growing public engagement with technology and the procedural impacts and transformative potential of technology on traditional and emerging forms of dispute resolution. Covering a range of topics such as artificial intelligence, data protection, and social media, this major reference work is ideal for government officials, policymakers, industry professionals, academicians, scholars, researchers, practitioners, instructors, and students.

Malware Analysis Using Artificial Intelligence and Deep Learning

Author : Mark Stamp
Publisher : Springer Nature
ISBN 13 : 3030625826
Total Pages : 651 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Malware Analysis Using Artificial Intelligence and Deep Learning by : Mark Stamp

Download or read book Malware Analysis Using Artificial Intelligence and Deep Learning written by Mark Stamp and published by Springer Nature. This book was released on 2020-12-20 with total page 651 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book is focused on the use of deep learning (DL) and artificial intelligence (AI) as tools to advance the fields of malware detection and analysis. The individual chapters of the book deal with a wide variety of state-of-the-art AI and DL techniques, which are applied to a number of challenging malware-related problems. DL and AI based approaches to malware detection and analysis are largely data driven and hence minimal expert domain knowledge of malware is needed. This book fills a gap between the emerging fields of DL/AI and malware analysis. It covers a broad range of modern and practical DL and AI techniques, including frameworks and development tools enabling the audience to innovate with cutting-edge research advancements in a multitude of malware (and closely related) use cases.

Methods, Implementation, and Application of Cyber Security Intelligence and Analytics

Author : Om Prakash, Jena
Publisher : IGI Global
ISBN 13 : 166843993X
Total Pages : 286 pages
Book Rating : 4.6/5 (684 download)

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Book Synopsis Methods, Implementation, and Application of Cyber Security Intelligence and Analytics by : Om Prakash, Jena

Download or read book Methods, Implementation, and Application of Cyber Security Intelligence and Analytics written by Om Prakash, Jena and published by IGI Global. This book was released on 2022-06-17 with total page 286 pages. Available in PDF, EPUB and Kindle. Book excerpt: Cyber security is a key focus in the modern world as more private information is stored and saved online. In order to ensure vital information is protected from various cyber threats, it is essential to develop a thorough understanding of technologies that can address cyber security challenges. Artificial intelligence has been recognized as an important technology that can be employed successfully in the cyber security sector. Due to this, further study on the potential uses of artificial intelligence is required. Methods, Implementation, and Application of Cyber Security Intelligence and Analytics discusses critical artificial intelligence technologies that are utilized in cyber security and considers various cyber security issues and their optimal solutions supported by artificial intelligence. Covering a range of topics such as malware, smart grid, data breachers, and machine learning, this major reference work is ideal for security analysts, cyber security specialists, data analysts, security professionals, computer scientists, government officials, researchers, scholars, academicians, practitioners, instructors, and students.

Cybersecurity Capabilities in Developing Nations and Its Impact on Global Security

Author : Dawson, Maurice
Publisher : IGI Global
ISBN 13 : 1799886956
Total Pages : 282 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Cybersecurity Capabilities in Developing Nations and Its Impact on Global Security by : Dawson, Maurice

Download or read book Cybersecurity Capabilities in Developing Nations and Its Impact on Global Security written by Dawson, Maurice and published by IGI Global. This book was released on 2022-02-04 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt: Developing nations have seen many technological advances in the last decade. Although beneficial and progressive, they can lead to unsafe mobile devices, system networks, and internet of things (IoT) devices, causing security vulnerabilities that can have ripple effects throughout society. While researchers attempt to find solutions, improper implementation and negative uses of technology continue to create new security threats to users. Cybersecurity Capabilities in Developing Nations and Its Impact on Global Security brings together research-based chapters and case studies on systems security techniques and current methods to identify and overcome technological vulnerabilities, emphasizing security issues in developing nations. Focusing on topics such as data privacy and security issues, this book is an essential reference source for researchers, university academics, computing professionals, and upper-level students in developing countries interested in the techniques, laws, and training initiatives currently being implemented and adapted for secure computing.

Cybersecurity Crisis Management and Lessons Learned From the COVID-19 Pandemic

Author : Abassi, Ryma
Publisher : IGI Global
ISBN 13 : 1799891666
Total Pages : 276 pages
Book Rating : 4.7/5 (998 download)

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Book Synopsis Cybersecurity Crisis Management and Lessons Learned From the COVID-19 Pandemic by : Abassi, Ryma

Download or read book Cybersecurity Crisis Management and Lessons Learned From the COVID-19 Pandemic written by Abassi, Ryma and published by IGI Global. This book was released on 2022-04-15 with total page 276 pages. Available in PDF, EPUB and Kindle. Book excerpt: The COVID-19 pandemic has forced organizations and individuals to embrace new practices such as social distancing and remote working. During these unprecedented times, many have increasingly relied on the internet for work, shopping, and healthcare. However, while the world focuses on the health and economic threats posed by the COVID-19 pandemic, cyber criminals are capitalizing on this crisis as the world has become more digitally dependent and vulnerable than ever. Cybersecurity Crisis Management and Lessons Learned From the COVID-19 Pandemic provides cutting-edge research on the best guidelines for preventing, detecting, and responding to cyber threats within educational, business, health, and governmental organizations during the COVID-19 pandemic. It further highlights the importance of focusing on cybersecurity within organizational crisis management. Covering topics such as privacy and healthcare, remote work, and personal health data, this premier reference source is an indispensable resource for startup companies, health and business executives, ICT procurement managers, IT professionals, libraries, students and educators of higher education, entrepreneurs, government officials, social media experts, researchers, and academicians.

Network Science and Cybersecurity

Author : Robinson E. Pino
Publisher : Springer Science & Business Media
ISBN 13 : 146147597X
Total Pages : 283 pages
Book Rating : 4.4/5 (614 download)

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Book Synopsis Network Science and Cybersecurity by : Robinson E. Pino

Download or read book Network Science and Cybersecurity written by Robinson E. Pino and published by Springer Science & Business Media. This book was released on 2013-06-14 with total page 283 pages. Available in PDF, EPUB and Kindle. Book excerpt: Network Science and Cybersecurity introduces new research and development efforts for cybersecurity solutions and applications taking place within various U.S. Government Departments of Defense, industry and academic laboratories. This book examines new algorithms and tools, technology platforms and reconfigurable technologies for cybersecurity systems. Anomaly-based intrusion detection systems (IDS) are explored as a key component of any general network intrusion detection service, complementing signature-based IDS components by attempting to identify novel attacks. These attacks may not yet be known or have well-developed signatures. Methods are also suggested to simplify the construction of metrics in such a manner that they retain their ability to effectively cluster data, while simultaneously easing human interpretation of outliers. This is a professional book for practitioners or government employees working in cybersecurity, and can also be used as a reference. Advanced-level students in computer science or electrical engineering studying security will also find this book useful .

Advances in Cyber Security Analytics and Decision Systems

Author : Shishir K. Shandilya
Publisher : Springer Nature
ISBN 13 : 3030193535
Total Pages : 153 pages
Book Rating : 4.0/5 (31 download)

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Book Synopsis Advances in Cyber Security Analytics and Decision Systems by : Shishir K. Shandilya

Download or read book Advances in Cyber Security Analytics and Decision Systems written by Shishir K. Shandilya and published by Springer Nature. This book was released on 2020-01-06 with total page 153 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book contains research contributions from leading cyber security scholars from around the world. The authors provide comprehensive coverage of various cyber security topics, while highlighting recent trends. The book also contains a compendium of definitions and explanations of concepts, processes, acronyms, and comprehensive references on existing literature and research on cyber security and analytics, information sciences, decision systems, digital forensics, and related fields. As a whole, the book is a solid reference for dynamic and innovative research in the field, with a focus on design and development of future-ready cyber security measures. Topics include defenses against ransomware, phishing, malware, botnets, insider threats, and many others.