Computer Science & Information Management

AAP Research Notes on Optimization and Decision Making Theories

Attacks on Artificial Intelligence
The New Facets of Cyber Ecospace

Editors: Kukatlapalli Pradeep Kumar, PhD
Boppuru Rudra Prathap, PhD
Vinay Jha Pillai, PhD
Prasenjit Chatterjee, PhD

Attacks on Artificial Intelligence

In Production
Pub Date: Forthcoming June 2024
Hardback Price: $200 US | £150.00 UK
Hard ISBN: 9781774916223
Pages: Est. 304pp w/index
Binding Type: Hardback / ebook
Series: AAP Research Notes on Optimization and Decision Making Theories
Notes: 12 color and 62 b/w illustrations

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.

CONTENTS:
Preface

Introduction

1. Attacks Against Artificial Intelligence: An Overview

Sridevi and Tukkappa K. Gundoor

2. Offensive and Defensive Artificial Intelligence in Cyberspace
Parkavi A., Sini Anna Alex, Sangeetha V., and Subramanya Sg

3. Digital Forensics Analysis for Adversarial Attacks in AI-Based Systems
Sanyasi Manasa and Kukatlapalli Pradeep Kumar

4. Recent Developments in Artificial Intelligence Attacks and Challenges
S. Kannadhasan, R. Nagarajan, K. Chandramohan, and R. Prabhu

5. Security Viewpoint in Artificial Intelligence-Based Systems
Kukatlapalli Pradeep Kumar, Marta Zurek-Mortka, and Vinay Jha Pillai

6. Secure Video Surveillance Systems for Person Re-Identification Using Elliptic Curve Cryptography
Sathish P. K. and A. V. N. Krishna

7. Forecasting Deployment of Web Forensics to Avert Misinformation Spread Using the WEFA Tool
Monikka Reshmi Sethurajan and Natarajan K.

8. Online Customers‘ Purchase Intentions Classification Using Hybrid the XGBoost Machine Learning Model and Its Security Concerns
Boppuru Rudra Prathap, Kukatlapalli Pradeep Kumar, and P. Mani Joseph

9. Process Mapping Military Aircraft Life Extension and Cybersecurity Issues
Manpreet Pal Singh, Sumati Sidharth, and Shobhanam Krishna

10. Applications of AI and ML in a Water Quality Monitoring System
Pragati Priyadarshinee

11. Implementation of Artificial Intelligence as a Protection Scheme for Cybersecurity
Marut Deo Sharma, Juwesh Binong, Rupaben Subadar, and Parmod Kumar

12. Employee Attrition Analysis for Business Continuity Planning: A Machine Learning Approach and an AI Application
Shobhanam Krishna and Sumati Sidharth

13. Internet of Things-Based Ventilator: A Covid-19 and AI Security
Chelsea Aurelia, Gayathri P., Harini N., Namith N., and Sujatha S.

14. AI-Secured Visitor Management System
Jaya Bharath Reddy, Raghavendra Sagar, Lakshmi Lahari, Nishita N Murthy, and Vinay Jha Pillai

15. Cyber Warfare: A Modern Threat to a Nation’s Critical Infrastructure
Gaurav Meena

Index


About the Authors / Editors:
Editors: Kukatlapalli Pradeep Kumar, PhD
Associate Professor & Program Coordinator for Data Science, Department of Computer Science Engineering, CHRIST (Deemed to be University), Bangalore, India

Kukatlapalli Pradeep Kumar, PhD, is currently serving as an Associate Professor and Program Coordinator for Data Science (Bachelor's in Technology) at Christ University, Bangalore, India. He is an educator and researcher in the area of data provenance and information security. He has 13 years of rich research and academic experience. He has published in many journals, and presented work in conferences papers during his PhD and continues to publish his work. His areas of interest include data science, information security, AI-ML, data provenance, software engineering, and multiparty secret sharing. He has received a best thesis award for his PhD work.

Boppuru Rudra Prathap, PhD
Associate Professor of Computer Science Engineering, CHRIST (Deemed to be University), Bangalore, India

Boppuru Rudra, PhD, is an Associate Professor of Computer Science Engineering at Christ University in Bangalore, Karnataka, India. He has written a number of publications on crime analysis and forecasting using machine learning techniques. During his scientific research journey, he has published several papers that have been highly cited and recognized in local and international journals and conferences. His expertise and research areas include machine learning, image processing, cyber security laws and data privacy, and cloud computing security. He holds a bachelor 's degree in information technology, a master 's degree in software engineering, and a doctorate in computer science and engineering.

Vinay Jha Pillai, PhD
Associate Professor of Electronics and Communication Engineering, CHRIST (Deemed to be University), Bangalore, India

Vinay Jha Pillai, PhD, is an Associate Professor of the Department of Electronics and Communication Engineering at Christ (Deemed to be University), Bangalore, India. He has 12 years of academic experience. Apart from teaching, he is primarily engaged in research related to early detection of breast cancer using optical imaging. He is also exploring the field of inverse problems and AI models for image reconstruction. He holds two patents (USA and India) and his work was selected for presentation at premier conferences, such as SPIE BioSPhotonics at San Francisco, California, USA, and Photonics at IIT Delhi, India. He has completed two funded projects as principal investigator. His PhD degree is in the field of biomedical imaging.

Prasenjit Chatterjee, PhD
Professor of Mechanical Engineering and Dean (Research and Consultancy), MCKV Institute of Engineering, West Bengal, India

Prasenjit Chatterjee, PhD, is currently Professor of Mechanical Engineering and Dean (Research and Consultancy), MCKV Institute of Engineering, West Bengal, India. He has over 100 research papers published in international journals and conferences. He has authored and edited more than 15 books on intelligent decision-making, supply chain management, optimization techniques, risk, and sustainability modeling. He has received numerous awards, including a Best Track Paper Award, Outstanding Reviewer Award, Best Paper Award, Outstanding Researcher Award, and University Gold Medal. Dr. Chatterjee is the Editor-in-Chief of the Journal of Decision Analytics and Intelligent Computing. He has also been a guest editor of several special issues in different SCIE/Scopus/ESCI (Clarivate Analytics) indexed journals. He is the Lead Series Editor of the book series Smart and Intelligent Computing in Engineering; Founder and Lead Series Editor of several book series, including Concise Introductions to AI and Data Science; AAP Research Notes on Optimization and Decision-Making Theories; Frontiers of Mechanical and Industrial Engineering; and River Publishers Series in Industrial Manufacturing and Systems 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).




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