http://www.loc.gov/mods/v3 http://www.loc.gov/standards/mods/v3/mods-3-2.xsd
principles, algorithm, applications, and perspectives
In recent years, virtual meeting technology has become a part of the everyday lives of more and more people, often with the help of global online social networks (OSNs). These help users to build both social and professional links on a worldwide scale. The sharing of information and opinions are important features of OSNs. Users can describe recent activities and interests, share photos, videos, applications, and much more. The use of OSNs has increased at a rapid rate. Google+, Facebook, Twitter, LinkedIn, Sina Weibo, VKontakte, and Mixi are all OSNs that have become the preferred way of communication for a vast number of daily active users. Users spend substantial amounts of time updating their information, communicating with other users, and browsing one another's accounts. OSNs obliterate geographical distance and can breach economic barrier. This popularity has made OSNs a fascinating test bed for cyberattacks comprising Cross-Site Scripting, SQL injection, DDoS, phishing, spamming, fake profile, spammer, etc. OSNs security: Principles, Algorithm, Applications, and Perspectives describe various attacks, classifying them, explaining their consequences, and offering. It also highlights some key contributions related to the current defensive approaches. Moreover, it shows how machine-learning and deep-learning methods can mitigate attacks on OSNs. Different technological solutions that have been proposed are also discussed. The topics, methodologies, and outcomes included in this book will help readers learn the importance of incentives in any technical solution to handle attacks against OSNs. The best practices and guidelines will show how to implement various attack-mitigation methodologies.
1. Overview of OSNs and Their Impact on Users -- 2. Security Challenges in Social Networking: Taxonomy, Statistics, and Opportunities -- 3. Fundamentals of Online Social Networks (OSNs) and Opportunities -- 4. Machine-Learning and Deep-Learning-Based Security Solutions for Detecting Various Attacks on OSNs -- 5. Various Threats and Threat-Handling Tools -- 6. Preventive Measures and General Practices.
Includes bibliographical references and index.
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