Effective Strategies for Combatting Social Engineering in Cybersecurity (Advances in Information Security, Privacy, and Ethics) - Softcover

Softcover

ISBN 13: 9798369366660

Publisher: Engineering Science Reference, 2024

Synopsis

In the digital age, the convergence of advanced technologies and human behavior presents a complex cybersecurity challenge, particularly through the lens of social engineering. Social engineering attacks exploit psychological manipulation rather than relying solely on technical vulnerabilities. By leveraging human trust and deception, these attacks become particularly difficult to defend against, evolving alongside advancements in artificial intelligence, machine learning, and other technologies. This dynamic environment heightens the risk of cyber threats, underscoring the need for comprehensive and innovative strategies to address these emerging vulnerabilities. Effective Strategies for Combatting Social Engineering in Cybersecurity offers a thorough exploration of these challenges, providing a well-rounded approach to understanding and countering social engineering threats. It delves into the theoretical aspects of social engineering, including the psychological principles that drive these attacks, while also offering practical solutions through real-world case studies and applications. By bridging the gap between theory and practice, the book equips academics, practitioners, and policymakers with actionable strategies to enhance their defenses.

About this title

About the Authors

Rajeev Kumar is a renowned academician and administrator with over 15 years of expertise in advancing professional education. He currently serves as a Professor in the Department of Computer Science and Engineering at Moradabad Institute of Technology, Moradabad, Uttar Pradesh, India. Prof. Kumar’s impressive academic credentials include a Ph.D. and a D.Sc. (Post-Doctoral Degree) in Computer Science, and a Postdoctoral Fellowship from Malaysia. He has further enhanced his expertise with certifications in Data Science and Machine Learning using Python and R Programming from IIM Raipur and advanced certifications from IBM and Google. As a senior member of IEEE, Prof. Kumar plays an active role in the IEEE Young Professional Committee and is also associated with the ACM, Computer Society of India (CSI), and SMIEEE. With core expertise in Artificial Intelligence, Cloud Computing, e-governance, and Networking, Prof. Kumar has significantly contributed to advancing academic programs. His efforts include curriculum design, delivering expert talks, and participating in high-impact leadership training programs. He has played a pivotal role in NAAC SSR preparations and has represented his institution at prestigious international academic forums in London, Mauritius, Malaysia, and Dubai. As a dedicated mentor, Prof. Kumar has guided ten scholars to complete their Ph.D. research, with four more pursuing their doctorates under his supervision and five pursuing post-doctorates from Malaysia. His exceptional guidance has earned him the Best Project Supervisor award three times. His commitment to research and innovation has cultivated a vibrant academic culture, leading to the successful incubation and development of numerous prototypes.

Saurabh Srivastava is working as a Assistant Professor in Department of Computer Science Engineering (Data Science), Moradabad Institute of Technology, Moradabad, India. He received P.hD. from Integral University Lucknow in 2023, and Master of Computer Application (MCA) from Dr. A.P.J. Abdul Kalam Technical University Lucknow in 2015. He is associated with research after MCA, and he has approx. 9 years of experience in research including Computer Vision & Image Processing, Satellite Image Interpretation and Analysis, Land Cover Mapping, Time Series Analysis, Requirement Engineering, Multi-Agent System, etc

Ahmed Elngar is an Associate Professor of Computer Science at Beni-Suef University, Egypt, and also serves as a faculty member at Maryam Abacha American University of Nigeria. He has built a distinguished career in computer science, specializing in Artificial Intelligence (AI), Cybersecurity, and Data Science. Dr. Elngar has earned recognition for his research in AI-driven cybersecurity systems, having contributed to numerous publications in these fields. His academic journey reflects a dedication to advancing the integration of AI technologies in enhancing security infrastructures, with a particular focus on AI applications in healthcare, smart systems, and digital transformation. As an educator and researcher, Dr. Elngar has guided numerous students in pursuing research excellence, helping to foster innovation in emerging technologies. He has also collaborated with international institutions, furthering the impact of his research in both academic and industry settings. Dr. Elngar's academic work and contributions continue to influence developments in AI and cybersecurity, making him a prominent figure in the computer science community. His efforts in shaping future talent and promoting interdisciplinary research have earned him a strong reputation in his field.

Edition details

• Publisher: Engineering Science Reference
• Publication date: 2024
• Language: English
• ISBN 13: 9798369366660
• Binding: Paperback
• Number of pages: 450
• Editor: Kumar MBBS MS (General Surgery) Rajeev, Srivastava Saurabh, Elngar Ahmed A.