1st Edition

Securing Social Networks in Cyberspace

Edited By Al-Sakib Khan Pathan Copyright 2022
    316 Pages 100 B/W Illustrations
    by CRC Press

    This book collates the key security and privacy concerns faced by individuals and organizations who use various social networking sites. This includes activities such as connecting with friends, colleagues, and family; sharing and posting information; managing audio, video, and photos; and all other aspects of using social media sites both professionally and personally. In the setting of the Internet of Things (IoT) that can connect millions of devices at any one time, the security of such actions is paramount. Securing Social Networks in Cyberspace discusses user privacy and trust, location privacy, protecting children, managing multimedia content, cyberbullying, and much more. Current state-of-the-art defense mechanisms that can bring long-term solutions to tackling these threats are considered in the book.

    This book can be used as a reference for an easy understanding of complex cybersecurity issues in social networking platforms and services. It is beneficial for academicians and graduate-level researchers. General readers may find it beneficial in protecting their social-media-related profiles.

    Part I: Protection of Personal Information in Social Networks

    1. User Awareness for Securing Social Networks

    Abhijit Bhowmik, S. M. Raihan Gafur, Abrar Rafid, Saiful Azad, Mufti Mahmud, and M. Shamim Kaiser

    2. Privacy-Preserving Analytics for Social Network Data: A Survey of Currently Prevalent Tools

    Rishabh Jindal, Ahmed Falah, Adnan Anwar, and Mohiuddin Ahmed

    3. Enabling Location k-Anonymity in Social Networks

    Francesco Buccafurri, Vincenzo De Angelis, Maria Francesca Idone, and Cecilia Labrini

    Part II: Securing Multimedia Contents

    4. Automated Content Classification in Social Media Platforms

    Thomas M. Chen

    5. Steganographic Botnet C&C Channel Using Twitter

    Nicholas Pantic and Mohammad Husain

    6. A Deep Learning-Based Model for an Efficient Hate-Speech Detection in Twitter

    P. R. Vishnu, Basant Agarwal, P. Vinod, K. A. Dhanya, and Alice Baroni

    Part III: Cyberbullying, Cyberstalking, and Related Issues

    7. Cyberbullying and Cyberstalking on Online Social Networks

    Umit Can and Bilal Alatas

    8. Cyberbullying Severity Detection Using Deep Learning Techniques – A Multi-Class Classification over Varied Class Balance Data

    Sharyar Wani, Khan Nasik Sami, Zian Md Afique Amin, and Yonis Gulzar

    9. Cyberbullying among Neurodiverse Learners during Online Teaching and Learning amidst COVID-19

    Mohammad Shadab Khan, Sharyar Wani, and Eima Fatima

    Part IV: Other Issues for Securing Social Networks and Online Profiles

    10. Profiling Online Users: Emerging Approaches and Challenges

    Mohammad Mamun, Muhammad Al-Digeil, and Sherif Saad Ahmed

    11. Securing Mobile Social Networks

    Robert Gordon

    12. Protecting Regular and Social Network Users in a Wireless Network by Detecting Rogue Access Point: Limitations and Countermeasures

    Md. Tanvir Hasan, Md. Redwan Hossain, and Al-Sakib Khan Pathan

    13. A Tutorial on Cross-Site Scripting Attack – Defense against Online Social Networks

    Vassilis Papaspirou, Leandros Maglaras, and Mohamed Amine Ferrag

    Biography

    Al-Sakib Khan Pathan is a Professor of Computer Science and Engineering. Currently, he is with the Independent University, Bangladesh as an Adjunct Professor. He received PhD degree in Computer Engineering in 2009 from Kyung Hee University, South Korea and B.Sc. degree in Computer Science and Information Technology from Islamic University of Technology (IUT), Bangladesh in 2003. His research interests include wireless sensor networks, network security, cloud computing, and e-services technologies. Currently he is also working on some multidisciplinary issues.