Online Social Networks Security : Principles, Algorithm, Applications, and Perspectives

Brij B. (National Institute of Technology Kurukshetra, India) Gupta, Somya Ranjan Sahoo

ISBN 10: 0367707357 / ISBN 13: 9780367707354

Editore: Taylor & Francis Ltd, 2023

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Zustand: Gut | Sprache: Englisch | Produktart: Bücher | This book elaborates on various attacks on Social Networks with classifications, countermeasures and consequences. It also highlights some key contributions related to current defensive approaches of various attacks on OSNs.

Codice articolo 41639345/3

Dati bibliografici

• Titolo: Online Social Networks Security : Principles, Algorithm, Applications, and Perspectives
• Editore: Taylor & Francis Ltd
• Data di pubblicazione: 2023
• Lingua: Inglese
• ISBN 10: 0367707357
• ISBN 13: 9780367707354
• Rilegatura: Brossura
• Condizione: Gut
• Cataloghi dei venditori:
  • Bücher

Descrizione articolo

Riassunto

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.

Informazioni sull?autore

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