"Cyber attacks, both on national infrastructures and private companies, have ramped up exponentially in recent years. AI tools and algorithms can help detect and fend off cyber threats, but they can also be used by hackers in their cyber attacks. Defensive measures to address cyber attacks are not sufficient for artificial intelligence-based architectures, which present a new range of challenges. This new volume takes these concerns into consideration and examines recent developments and issues in attacks that target artificial intelligence-based systems and AI-based cyber infrastructures while also presenting research on using AI technologies to prevent attacks. This volume presents the challenges and new research on both offensive and defensive artificial intelligence in cyberspace and offers technical strategies to protect against such attacks. The myriad topics discussed in the book include AI in secure video surveillance systems, an AI-secured visitor management system, Internet of Things-based ventilator, a digital forensics analysis for adversarial attacks in AI-based systems, applications of AI and ML in a water quality monitoring system, and much more. The research presented in this volume will be a guide for researchers and scholars working in the area of attacks and investigations on artificial intelligence-based systems"-- Provided by publisher.
Cyber attacks, both on national infrastructures and private companies, have ramped up exponentially in recent years. AI tools and algorithms can help detect and fend off cyber threats, but they can also be used by hackers in their cyber attacks. Defensive measures to address cyber attacks are not sufficient for artificial intelligence-based architectures, which present a new range of challenges. This new volume takes these concerns into consideration and examines recent developments and issues in attacks that target AI based systems and cyber infrastructures while also presenting research on using AI technologies to prevent attacks.
Examines recent developments and issues in attacks targeting AI-based systems and AI-based cyber infrastructures while also presenting research on using AI technologies to prevent attacks. Includes topics like AI in secure video surveillance systems, an AI-secured visitor management system, etc.
1. Attacks Against Artificial Intelligence: An Overview
2. Offensive and
Defensive Artificial Intelligence in Cyberspace
3. Digital Forensics Analysis
for Adversarial Attacks in AI-Based Systems
4. Recent Developments of
Artificial Intelligence Attacks and Challenges
5. Security Viewpoint in
Artificial Intelligence-Based Systems
6. Secure Video Surveillance Systems
for Person Reidentification Using Elliptic Curve Cryptography
7. Forecasting
Deployment of Web Forensics to Avert Misinformation Spread Using the WEFA
Tool
8. Online Customers Purchase Intentions Classification Using Hybrid
XGBoost Machine Learning Model and Its Security Concerns
9. Process Mapping
Military Aircraft Life Extension and Cyber Security Issues
10. Applications
of AI and ML in a Water Quality Monitoring System
11. Implementation of
Artificial Intelligence as a Protection Scheme for Cyber Security
12.
Cyberattacks and Employee Attrition Analysis for Business Continuity
Planning: A Machine Learning Approach and an AI Application
13. Internet of
Things-Based Ventilator: A COVID-19 and AI Security Perspective
14.
AI-Secured Visitor Management System
15. Cyber Warfare: A Modern Threat to a
Nations Critical Infrastructure
Kukatlapalli Pradeep Kumar, PhD, is an Associate Professor and Program Coordinator for Data Science in the Department of Computer Science Engineering, CHRIST University, India. With a strong foundation in computational techniques and innovative problem-solving approaches, he is involved in academic teaching and mentoring, helping to shape the next generation of data scientists and AI professionals. His research is in the area of data provenance and analytics, AI, and information security. He has over 40 publications and four edited books to his credit, with more in progress, as well as two patent applications and two copyrights. He is also a speaker at academic forums.
Boppuru Rudra Prathap, PhD, is a Professor of Computer Science and Engineering at M.S. Ramaiah University of Applied Sciences, India. Dr. Prathap has over 15 years of academic and research experience, having previously worked as an Associate Professor at CHRIST University. He has published many indexed research papers and has contributed to book chapters and patents in emerging areas such as cyber security, IoT, and AI-based crime detection. He has served as a reviewer for various IEEE, Springer, and Elsevier journals and has been actively involved in research consultancy.
Vinay Jha Pillai, PhD, is an Associate Professor of Electronics and Communication Engineering, CHRIST University, India. Apart from teaching, he is engaged in research related to early detection of breast cancer using optical imaging. He is also exploring the field of image reconstruction and inverse problems. He holds two patents related to early detection of breast cancer, and his work was selected for presentation at premier conferences like SPIE BioS Photonics at San Francisco, California, and Photonics at IIT Delhi. He is also principal investigator for two funded projects associated with the Government of India.
Prasenjit Chatterjee, PhD, is Dean (Research and Consultancy) at the MCKV Institute of Engineering, West Bengal, India. A prolific author and editor, he has published many research papers and has edited more than 15 books on intelligent decision-making, supply chain management, optimization techniques, and sustainability modeling. He is the editor of several book series, including AAP Research Notes on Optimization and Decision-Making Theories and Frontiers of Mechanical and Industrial Engineering Dr. Chatterjee is one of the developers of two multiple-criteria decision-making methods: Measurement of Alternatives and Ranking according to COmpromise Solution (MARCOS) and Ranking of Alternatives through Functional mapping of criterion sub-intervals into a Single Interval (RAFSI).
