Effective Strategies for Combatting Social Engineering in Cybersecurity

Effective Strategies for Combatting Social Engineering in Cybersecurity

Pages: 340
DOI: 10.4018/979-8-3693-6665-3
ISBN13: 9798369366653|ISBN13 Softcover: 9798369366660|EISBN13: 9798369366677
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Description & Coverage
Description:

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.

Coverage:

The many academic areas covered in this publication include, but are not limited to:

  • Attack Techniques
  • Blockchain Technology
  • Consequences and Prevention Measures
  • Cyber Resilience Strategies
  • Cyber Security
  • Deep Fakes
  • Digital Era of Stealth
  • Effective Defense Strategies
  • Machine Learning
  • Online Interactions
  • Organizational Resilience
  • Phishing Detection
  • Social Engineering Attacks
  • Wireshark Effective Strategies
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Editor/Author Biographies
Rajeev Kumar is a distinguished academician and academic administrator with over 15 years of experience in fostering excellence in professional education. He is currently serving as a Professor in the Computer Science and Engineering Department at Moradabad Institute of Technology, Moradabad, Uttar Pradesh, India. Prof. Kumar holds a Ph.D. in Computer Science, a D.Sc. (Post-Doctoral Degree) in Computer Science, and a Postdoctoral Fellowship from Malaysia. His academic credentials are further bolstered by certifications in Data Science and Machine Learning using Python and R Programming from IIM Raipur, as well as additional certifications from IBM and Google. A senior member of IEEE, he actively participates in the IEEE Young Professional Committee and holds memberships in the Computer Society of India (CSI) and SMIEEE. His academic areas of interest and specialization include Artificial Intelligence, Cloud Computing, e-Governance, and Networking.
Saurabh Srivastava is an Assistant Professor of Department of Computer Science & Engineering (Data Science) at 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, Cyber Security, Social Engineering etc. He has published extensively in renowned journals and has presented his research at numerous national and international conferences. Dr. Saurabh Srivastava is dedicated to fostering critical thinking and innovation among students and actively engages in mentoring emerging scholars.
Ahmed A. Elngar is an Associate Professor and Head of the Computer Science Department at the Faculty of Computers and Artificial Intelligence, Beni-Suef University, Egypt. Dr. Elngar is also, an Associate Professor of Computer Science at the College of Computer Information Technology, American University in the Emirates, United Arab Emirates. Also, Dr. AE is Adjunct Professor at School of Technology, Woxsen University, India. Dr. AE is the Founder and Head of the Scientific Innovation Research Group (SIRG). Dr. AE is a Director of the Technological and Informatics Studies Center (TISC), Faculty of Computers and Artificial Intelligence, Beni-Suef University. Dr. AE has more than 150 scientific research papers published in prestigious international journals and over 35 books covering such diverse topics as data mining, intelligent systems, social networks, and smart environment. Dr. AE is a collaborative researcher He is a member of the Egyptian Mathematical Society (EMS) and International Rough Set Society (IRSS). His other research areas include the Internet of Things (IoT), Network Security, Intrusion Detection, Machine Learning, Data Mining, and Artificial Intelligence. Big Data, Authentication, Cryptology, Healthcare Systems, Automation Systems. He is an Editor and Reviewer of many international journals around the world. Dr. AE won several awards including the Young Researcher in Computer Science Engineering”, from Global Outreach Education Summit and Awards 2019, on 31 January 2019 (Thursday) in Delhi, India.
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