
Social Engineering in Cybersecurity
Description
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Key Features
* Comprehensive Coverage: Thorough exploration of various social engineering attack vectors, including phishing, vishing, pretexting, baiting, quid pro quo, tailgating, impersonation, and more.
* Psychological Insights: In-depth examination of the psychological principles and cognitive biases that underlie social engineering tactics. * Real-World Case Studies: Analysis of real-world examples and high-profile social engineering incidents to illustrate concepts and techniques.
* Prevention and Mitigation: Practical guidance on how to recognize, prevent, and mitigate social engineering attacks, including security best practices.
* Ethical Considerations: Discussion of ethical dilemmas and legal aspects related to social engineering that emphasizes responsible use of knowledge.
This comprehensive textbook on social engineering attacks provides a deep and practical exploration of this increasingly prevalent threat in cybersecurity. It covers a wide array of attack vectors, including phishing, vishing, pretexting, and more, offering readers an in-depth understanding of how these attacks work. The book delves into the psychology behind social engineering and examines the cognitive biases and emotional triggers that make individuals susceptible. Real-world case studies illustrate concepts and techniques while practical guidance equips readers with the knowledge to recognize, prevent, and mitigate social engineering threats.
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Persons
Dr. Janhavi V received the Ph.D. degree in computer science and engineering from Visvesvaraya Technological University India. She is currently working as an Associate Professor in the department of CS&E at Vidyavardhaka College of Engineering, Mysuru. She has published many research articles in peer-reviewed and reputed international journals.
Ambika V has completed her M. Tech in Computer Network Engineering from Visvesvaraya Technological University. She is currently working as an Assistant Professor in the Department of Bachelor of Computer Applications at Mysore Institute of Commerce and Arts, Mysuru, Karnataka. She has published various research papers in various reputed international journals and conferences. Her areas of interest include Computer Networks, Cybersecurity, Information security and Cryptography.
Content
A Machine Learning Algorithm to Tackle Chat Messages; A Survey on Security Model for Internet of Things Environment; A Study on Image Detection and Extraction to Estimate Distracted Driver using CNN and IOT; Social Engineering: Cyber Attacks, Countermeasures and Conclusions
System requirements
File format: PDF
Copy-Protection: Adobe-DRM (Digital Rights Management)
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