Overview

This book provides a comprehensive analysis covering the confluence of Artificial Intelligence (AI), Cyber Forensics and Digital Policing in the context of the United Kingdom (UK), United States (US) and European Union (EU) national cybersecurity. More specifically, this book explores ways in which the adoption of AI algorithms (such as Machine Learning, Deep Learning, Natural Language Processing, and Big Data Predictive Analytics (BDPAs) transforms law enforcement agencies (LEAs) and intelligence service  practices. It explores the roles that these technologies play in the manufacture of security, the threats to freedom and the levels of social control in the surveillance state.   This book also examines the malevolent use of AI and associated technologies by state and non-state actors. Along with this analysis, it investigates the key legal, political, ethical, privacy and human rights implications of the national security uses of AI in the stated democracies. This book provides a set of policy recommendations to help to mitigate these challenges.   Researchers working in the security field as well  advanced level students in computer science focused on security will find this book useful as a reference. Cyber security professionals, network security analysts, police and law enforcement agencies will also want to purchase this book.  

Full Product Details

Author:   Reza Montasari
Publisher:   Springer International Publishing AG
Imprint:   Springer International Publishing AG
Edition:   1st ed. 2023
Volume:   101
Weight:   0.442kg
ISBN:  

9783031219191

ISBN 10:   3031219198
Pages:   164
Publication Date:   02 January 2023
Audience:   Professional and scholarly ,  Professional & Vocational
Format:   Hardback
Publisher's Status:   Active
Availability:   Manufactured on demand  
We will order this item for you from a manufactured on demand supplier.

Table of Contents

1 Introduction References 2 Cyber Threats and the Security Risks They Pose to National Security: An Assessment of Cybersecurity Policy in the United Kingdom Abstract Introduction The Most Prevalent Cyber Threats The UK Cyber Landscape How Cyber Threats Are Identified in the UK Perpetrators of Cyber Threats Types of Cyber-Attacks The UK  Cybersecurity Policies and Practices Cybersecurity in Government Policies and Strategies Current Policies, Strategies, and Practices National Cyber Security Centre Active Cyber Defence Programme National Cyber Security Strategy 2022-2030 Recommendations Criticisms of the NCSC and Recommendation  Criticisms of the ACD and Recommendations Criticisms of the NCSS 2022-2030 and Recommendations Recommendations for the Government’s Role Discussion and Conclusion Key Findings Limitations of the Chapter Concluding Remarks References 3 Internet of Things and Artificial Intelligence in National Security: Applications and Issues Abstract Introduction Background Definitions National and Domestic Security Definition of Artificial Intelligence The Internet of Things The Internet of Things Forensics  AI and IoT in National and Domestic Security  The Role of AI and IoT in Digital Security  AI for Protecting IoT Devices against Hacking The Malicious Use of AI to Hack IoT Devices The Use of AI in the Military to Hack IoT Devices The Use of AI by Institutions to Safeguard Citizens  AI and IoT in Political Security  Deepfake and Mis- and Disinformation  AI and the Formation of Filter Bubbles     AI and Online Content Moderation     AI and IoT in Physical Security     Augmented Intelligence Analysis     Military Weaponisation of AI and the IoT     Privacy Implications of AI Algorithms     Impacts of AI Algorithms on User Privacy     Legal Frameworks for Privacy Relating AI Algorithms     Potential Solutions for Privacy Implications     Conclusion     References   4 Artificial Intelligence and the Internet of Things Forensics in a National Security Context  Abstract Introduction AI Techniques in Automating Tasks of IoT Forensics A Brief Summary of IoT Forensics from Chapter 3 Types of AI Techniques Relevant to IoT Forensics Natural Language Processing Machine Learning Machine Learning and Anomaly Detection Machine Learning and Detection of Steganography General Challenges of AI-Enabled IoT Forensics Sources and Detection of Algorithmic Bias Algorithmic Bias Sources of Algorithmic Bias Algorithmic Transparency and Military AI Risks of Increasing Transparency in Military AI Recommendations Recommendations for Detecting Algorithmic Bias Recommendations for Reducing Bias in Algorithms Recommendation for Algorithmic Transparency in Military AI Applications Conclusion References 5 The Application of Big Data Predictive Analytics and Surveillance Technologies in the Field of Policing Abstract Introduction Key Concepts and History of AI Predictive Policing History of AI Facial Recognition Technology 3D Facial Recognition Machine Learning Supervised Learning Unsupervised Learning Reinforcement Learning Support Vector Machine  Natural Language Processing  Big Data  RQ 1: The Use of AI by Law Enforcement I  Big Data Predictive Analytics  PredPol  CompStat  Person-Based Forecasting  Innovative Surveillance Technology  Hard and Soft Technology Closed-Circuit Television Facial Recognition Technology Body-Worn Cameras Social Media RQ 2: The Use of AI by Law Enforcement II ML and Data Mining in Policing Police Discrimination and Big Data DNA Databases and Big Data Recommendations Accountability and Transparency Bias in ML Algorithm  Regulating Surveillance Technology  Conclusion  References  6 The Potential Impacts of the National Security Uses of Big Data Predictive Analytics on Human Rights  Abstract  Introduction  Background  Big Data Predictive Analytics  The Application of Predictive Policing  Civil Liberties and National Security  RQ 1: The Use of AI by Law Enforcement I Civil Liberties and National Security Chilling Effect, Privacy Rights and Freedom of Speech The Fourth Amendment and Stop and Search Striking a Smart Balance RQ 2: The Use of AI by Law Enforcement II Overpolicing of Certain Areas Focus on Crimes of the Poor System Avoidance Recommendations Conclusion References 7 National Artificial Intelligence Strategies: A Comparison of the UK, EU and US Approaches with Those Adopted by State Adversaries Abstract  Introduction  AI Strategies of the UK, EU and US  The UK AI Strategy  The EU AI Strategy  The US AI Strategy  AI Strategies of Russia and China  The Chinese AI Strategy  The Russian AI Strategy  Shortcomings and Recommendations  Shortcomings of the UK AI Strategy  Shortcomings of the EU AI Strategy  Shortcomings of the US AI Strategy Shortcomings of the Chinese AI Strategy Shortcomings of the Russian AI Strategy Conclusion   References      

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Author Information

Dr. Reza Montasari is a Senior Lecturer in Cyber Threats at the Department of Criminology, Sociology and Social Policy in the School of Social Sciences at Swansea University, Wales, United Kingdom (UK). Dr. Montasari is also a member of the Cyber Threats Research Centre (CYTREC) at Swansea University, which focuses on addressing a wide range of online threats, from terrorism, extremism and cybercrime to child sexual exploitation and grooming online. Reza serves as a Member of Strategic Independent Advisory Group at South Wales Police (Cardiff, Wales, UK), and a Programme Chair, Programme Steering Member, and Committee Member of the Annual International Conference on Global Security, Safety & Sustainability. Reza holds a BSc (Hons) in Multimedia Computing and an MSc in Computer Forensics both from the University of South Wales and a PhD in Digital Forensics from the University of Derby. He is a Fellow of Higher Education Academy (FHEA), a Chartered Engineer (CEng), and a Member of the Institution of Engineering and Technology (IET). Reza’s main research interests lie in the areas of Digital Forensics, Cyber Security, Cyber Warfare, and Artificial Intelligence but also include Cyber Law and Cyber Criminology. Reza is a prolific publisher of academic research and is frequently invited to present or be a panelist at various international security-related conferences. Reza is an experienced professor, supervisor and examiner of both undergraduate and postgraduate candidates, as well as having extensive experience in reviewing and examining programmes of study. Reza is also very experienced at designing, developing and validating both new programmes of studies and new modules. He is or has been an External Examiner to various universities and has also acted as the External Member of Validation Panel for various undergraduate and postgraduate courses

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