Call for Chapter in Edited Book with ISBN on the Topic
Ethical Hacking in the Age of Intelligent Systems: A Practical Guide to AI-Powered Cyber Security
Ethical Hacking in the Age of Intelligent Systems: A Practical Guide to AI-Powered Cyber Security is a forward-looking edited volume that explores how artificial intelligence is transforming modern cybersecurity practices. The book brings together scholarly insights and practical approaches to ethical hacking, covering key areas such as machine learning–driven threat detection, AI-powered penetration testing, vulnerability assessment, digital forensics, and emerging risks like adversarial AI and quantum security. It aims to equip researchers, practitioners, and students with the knowledge to understand, anticipate, and defend against evolving cyber threats in an intelligent systems era, while also addressing the legal, ethical, and governance frameworks shaping responsible cybersecurity practices.
Editors
Dr. Aarthi Gopalakrishnan, Assistant Professor, Department of Computer Science and Engineering, B.S. Abdur Rahman Crescent Institute of Science and Technology Chennai, Tamil Nadu, India
S. Nooriya Begam, Research Schloar, Department of Computer Science, Alagappa University, Karaikudi
Dr. Y. Mohammed Iqbal, Assistant Professor, PG and Research Department of Computer Science, Jamal Mohamed College.
Dr. Manimannan G., Assistant Professor, Department of Computer Applications, St. Joseph’s College (Arts & Science), Kovur, Chennai
Sub Themes
↠ The Ethical Hacker Mindset in the AI Era
↠Cybersecurity Fundamentals Powered by Machine Learning
↠ Networking & Protocols – Deep Learning-Based Traffic Analysis
↠ Legal & Ethical Frameworks – AI Governance and Penetration Testing Laws
↠ AI-Driven Reconnaissance and OSINT Automation
↠ Vulnerability Scanning with ML-Powered Detection Engines
↠ Exploitation Techniques – Reinforcement Learning for Automated Pen Testing
∘ Web Application Hacking and Deep Learning-Based Payload Generation
∘ Social Engineering in the Age of Generative AI and LLMs
∘ Malware Analysis Using Deep Learning and Neural Networks
∘ Wireless & IoT Security – Anomaly Detection with ML Models
∘ Adversarial AI – Attacking and Defending Machine Learning Models
∘ AI-Powered Intrusion Detection Systems and SIEM Automation
∘ Digital Forensics and Incident Response Augmented by Deep Learning
∘ Future of Ethical Hacking – Quantum Computing, AGI, and Zero-Trust AI Security
Submit Article
Guide Lines for Paper Submission
✰Use Times New Roman Font-Size:12
✰ The manuscript should not exceed eight pages
✰ Provide the author’s full name, designation, and complete contact details
✰ Include an abstract along with a minimum of six keywords
Terms and Conditions
↠ Chapters having below 10% plagiarism & below 30% AI allowed
↠ Chapters will be Published after Passing double blind Peer-Review
↠ Published as e-Book in Google Books with e-ISBN
↠ Applicable for your API Score B(I)-Annexure[X]
↠ Digital Marketing team will work for book Promoting and Author Popularity
Date of Submission
➱ Last Date for Submission: 16.06.2026
Processing Fees
Hard copy of the book with certificate – 800/-
Feel Free to Contact
9677205250
info@beyondlinepublisher.com