5 books on AI for Security [PDF]

Updated: February 02, 2024

Books on AI for security are indispensable resources for startups dedicated to developing AI solutions for enhancing cybersecurity. These texts provide a comprehensive understanding of how artificial intelligence can be employed to detect and mitigate threats, identify vulnerabilities, and protect critical systems and data. They delve into advanced topics such as anomaly detection, threat intelligence, and security automation, equipping startups with the knowledge needed to navigate the complexities of cybersecurity. Moreover, these books explore the challenges of data privacy, compliance, and ethical considerations, which are essential for startups striving to create AI security solutions that adhere to legal and ethical standards.

1. AI, Machine Learning and Deep Learning: A Security Perspective
2023 by Fei Hu, Xiali Hei



"This book offers a comprehensive examination of security challenges and solutions across various applications in the context of AI, machine learning, and deep learning. It elucidates the intricacies of potential threats to advanced AI tools and the complexities involved in mitigating these threats. The book subsequently presents a diverse range of promising solutions designed to enhance AI security and privacy. Notably, this book stands out for several reasons: it serves as the inaugural resource to elucidate practical attacks on AI systems and corresponding countermeasures; it seamlessly integrates both quantitative mathematical models and practical security implementations; it addresses both the security of AI systems themselves and the utilization of AI for enhancing security measures; it comprehensively covers advanced AI attacks and threats, complete with detailed attack models; it offers multiple solution frameworks for tackling security and privacy concerns in AI tools; it distinguishes between security and privacy issues in machine learning (ML) and deep learning (DL); and it delves into a myriad of practical security applications."
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2. Artificial Intelligence and National Security
2022 by Reza Montasari



"This book offers a comprehensive analysis of the multifaceted challenges posed by Artificial Intelligence (AI) in the context of national security, encompassing technical, legal, ethical, and privacy dimensions, along with the associated concerns for human rights and civil liberties. It meticulously examines the dual-use nature of AI, capable of both positive and negative applications, and its growing significance in safeguarding nations. However, the integration of AI into national security efforts raises a host of intricate legal, ethical, moral, and privacy dilemmas. The book investigates the utilization of AI for national security purposes within Western Democracies, highlighting its potential for malicious use. Furthermore, it scrutinizes the legal, political, ethical, moral, privacy, and human rights implications stemming from AI's role in national security, emphasizing the potential threats to individual fundamental rights and the erosion of user privacy in digital policing scenarios."
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3. Artificial Intelligence for Cybersecurity
2022 by Mark Stamp, Corrado Aaron Visaggio, Francesco Mercaldo, Fabio Di Troia



"This book delves into the innovative applications of machine learning, deep learning, and artificial intelligence in the realm of cybersecurity, going beyond mere data application to address intricate challenges at the intersection of deep learning and cybersecurity. It offers valuable insights into the complex 'how' and 'why' questions that emerge in AI's role in security. Topics covered include 'explainable AI,' 'adversarial learning,' 'resilient AI,' and a broad spectrum of related subjects, transcending specific cybersecurity domains from malware to biometrics and more. Designed for researchers, advanced students, and practitioners in the fields of cybersecurity and artificial intelligence, this book serves as an indispensable reference, offering cutting-edge insights and solutions."
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4. Big Data Privacy and Security in Smart Cities
2022 by Richard Jiang, Ahmed Bouridane, Chang-Tsun Li, Danny Crookes, Said Boussakta, Feng Hao, Eran A. Edirisinghe



"This book delves into the recent technological advancements in smart cities, specifically focusing on emerging technologies like biometrics, blockchains, data encryption, data mining, machine learning, deep learning, cloud security, and mobile security. Over the past few years, digital cities have rapidly evolved, becoming an integral part of people's lives in both developed and developing nations. The book particularly addresses the critical concerns of privacy and security arising from big data in smart cities, which have profound implications across various sectors, including cybersecurity, healthcare, e-commerce, e-governance, and more. These issues, intertwined with the advent of smart cities, predominantly pertain to public domains, underscoring their significance in modern society. This volume provides a comprehensive overview of recent progress in tackling the challenges of big data privacy and security in smart cities while also highlighting future research directions in this dynamic field."
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5. Policing in the Era of AI and Smart Societies
2020 by Hamid Jahankhani, Babak Akhgar, Peter Cochrane, Mohammad Dastbaz



"This book offers a comprehensive overview of the current and emerging challenges in law enforcement, AI, and the digital society by showcasing collaborations between researchers and practitioners in policing, cyber criminology, IT law, and security."
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