Online Social Networks Security
Principles, Algorithm, Applications, and Perspectives
- Available for pre-order. Item will ship after February 9, 2021
To facilitate communication, people uses virtual meeting environment in everyday lives with the help of global online social networks (OSNs) in recent years. These networks help users to find novel friends and buildup their links worldwide. Moreover, sharing of information and thoughts are important features of OSNs. Users can share photos, recent activities, videos, interests, applications and much more with the help of the OSNs. The rate of using OSNs has increased rapidly in the recent years. OSNs like Google+, Facebook, Twitter, LinkedIn, Sina Weibo, VKontakte, and Mixi have become the preferred way of communication for billions of daily active users. Users spend maximum time to update their contents, communicate with early users and browse other’s account to find certain information which is the main implication of social network websites. OSN can eliminate the geographical and economical barriers between the users for the communication and information sharing. Due to this, it has become a fascinating test bed for numerous cyber-attacks comprising Cross-Site Scripting, SQL injection, DDoS, phishing, spamming, fake profile, spammer etc.
This book entitled Online Social Networks Security: Principles, Algorithm, Applications, and Perspectives elaborates on various attacks with classifications, countermeasures and consequences. It also highlights some key contributions related to current defensive approaches of various attacks on OSNs. Moreover, it represents machine learning and deep learning-based approaches to militate against various attacks on OSNs. Moreover, different technological solutions are also discussed that have been proposed so far against OSNs based attacks. The contributions of the topics, methodologies and results included in this book will educate readers towards the importance of incentives in any technical solution to handle attacks against OSNs. The best practices and guidelines will showcase how to implement various attack mitigation methodologies.
Table of Contents
1. Overview of OSNs and its Impact on Users
2. Security Challenges in Online Social Networking: Taxonomies, Statistics and Opportunities
3. Fundamentals of Online Social Networks (OSN’s) and Opportunities
4. Machine learning and Deep learning-based Security solution for detecting Various attacks on OSN
5. Various Threats and Threats Handling Tools
6. Preventive Measures and General Practices
7. Data Theft in Indonesia: A case study on Facebook
Brij B. Gupta received PhD degree from Indian Institute of Technology Roorkee, India in the area of Information and Cyber Security. In 2009, he was selected for Canadian Commonwealth Scholarship awarded by Government of Canada. He published more than 250research papers in International Journals and Conferences of high repute including IEEE, Elsevier, ACM, Springer, Wiley, Taylor & Francis, Inderscience, etc. He has visited several countries, i.e. Canada, Japan, Malaysia, Australia, China, Hong-Kong, Italy, Spain etc to present his research work. His biography was selected and published in the 30th Edition of Marquis Who's Who in the World, 2012. Dr. Gupta also received Young Faculty research fellowship award from Ministry of Electronics and Information Technology, Government of India in 2017. He is also working as principal investigator of various R&D projects. He is serving as associate editor of IEEE Access, IEEE TII, Associate editor of IJICS, Inderscience and Executive editor of IJITCA, Inderscience, respectively. He is also serving as reviewer for Journals of IEEE, Springer, Wiley, Taylor & Francis, etc. He is also serving as guest editor of various reputed Journals. He was also visiting researcher with University of Murcia (UMU), Spain, Deakin University, Australia and Yamaguchi University, Japan in 2018, 2017 and 2015, respectively. At present, Dr. Gupta is working as Assistant Professor in the Department of Computer Engineering, National Institute of Technology Kurukshetra India. His research interest includes Information security, Cyber Security, Cloud Computing, Web security, Intrusion detection and Phishing. Somya Ranjan Sahoo is a Research Scholar, Department of Computer Engineering, NIT Kurukshetra, India