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.
Reihe
Sprache
Verlagsort
Zielgruppe
Für höhere Schule und Studium
Für Beruf und Forschung
Academic and Postgraduate
Illustrationen
66 s/w Abbildungen, 12 farbige Abbildungen, 10 s/w Photographien bzw. Rasterbilder, 2 Farbfotos bzw. farbige Rasterbilder, 56 s/w Zeichnungen, 10 farbige Zeichnungen
10 Line drawings, color; 56 Line drawings, black and white; 2 Halftones, color; 10 Halftones, black and white; 12 Illustrations, color; 66 Illustrations, black and white
Maße
Höhe: 234 mm
Breite: 156 mm
Gewicht
ISBN-13
978-1-77491-622-3 (9781774916223)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
Schweitzer Klassifikation
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).
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 Nation's Critical Infrastructure
