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Cybersecurity in the Big Data Era is a fascinating look at the invisible fight going on under our networked lives. In a world where every heartbeat of society is mirrored in digital code, this book shows us how to protect ourselves.
Dr. Akshay Mudgal is a visionary cybersecurity professional, researcher, and academician whose unwavering dedication to the field of cybersecurity has established him as a prominent figure in both academia and industry. Renowned for his profound expertise in network security, information security, cybersecurity, Big Data, dark net/web, and blockchain, Dr. Mudgal has made substantial contributions to advancing the domain with his remarkable research and modern innovations. Holding a prestigious PhD in cybersecurity, Dr. Mudgal's academic journey is a testament to his commitment to excellence. In addition to his doctorate, he possesses advanced degrees in computer applications (MCA) and business administration (MBA- information system management) and a bachelor of science in information technology (B.Sc. IT) along with a bachelor of science in information security. His academic foundation is further bolstered by a suite of esteemed professional certifications. Dr. Mudgal's relentless pursuit of knowledge and expertise has propelled him to the forefront of cybersecurity research. With numerous research papers published in SCOPUS and SCI-indexed international journals and conferences, his contributions reflect not only technical proficiency but also a keen awareness of emerging threats and innovative solutions. His research papers, recognized globally for their scholarly impact, encompass critical areas such as secure communication protocols, threat detection mechanisms, blockchain-based security solutions, and darknet forensics. Beyond his research and technical accomplishments, Dr. Mudgal is an ardent advocate for knowledge dissemination and professional growth. He actively engages in international conferences, workshops, and seminars, sharing his insights and fostering collaborations to combat the ever-evolving cyber threat landscape. As an educator, he remains dedicated to mentoring future cybersecurity professionals, inspiring them to adopt a forward-thinking approach to addressing complex security challenges. Dr. Mudgal's unwavering dedication, passion for innovation, and commitment to excellence continue to make an indelible mark on the cybersecurity community. His journey exemplifies the intersection of academic rigor and practical application, pushing the boundaries of knowledge to shape a safer and more secure digital world.
About the Author. Author's Vision. Foreword. 1. Introduction to Cybersecurity in the Big Data Era. 2. Foundations of Intrusion Detection Systems (IDS). 3. Honeypot Systems: Deception for Defense. 4. Big Data Technologies for Security Analytics. 5. Machine Learning for Intrusion Detection. 6. Building the Hybrid Honeypot-Based ML-Driven IDS Architecture. 7. Dataset Collection, Preprocessing & Labeling. 8. Model Design, Training & Evaluation. 9. Deployment of the Hybrid System in Real-World Environments Depiction. 10. Case Studies, Simulated Attacks, Results and Analysis. 11. Ethical, Legal & Privacy Concerns. 12. Future Trends and Research Directions.