Securing Social Networks in Cyberspace

Inbunden, Engelska, 2021

1 336 kr

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Beskrivning

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.

Produktinformation

Utgivningsdatum:2021-10-11
Mått:178 x 254 x 26 mm
Vikt:721 g
Format:Inbunden
Språk:Engelska
Antal sidor:298
Förlag:Taylor & Francis Ltd
ISBN:9780367681739

Utforska kategorier

Informationsteknik: allmänt inom Data och IT
IT-säkerhet inom Data och IT

Mer om författaren

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.

Innehållsförteckning

Part I: Protection of Personal Information in Social Networks 1. User Awareness for Securing Social Networks 2. Privacy-Preserving Analytics for Social Network Data: A Survey of Currently Prevalent Tools 3. Enabling Location k-Anonymity in Social Networks Part II: Securing Multimedia Contents 4. Automated Content Classification in Social Media Platforms 5. Steganographic Botnet C&C Channel Using Twitter 6. A Deep Learning-Based Model for an Efficient Hate-Speech Detection in Twitter Part III: Cyberbullying, Cyberstalking, and Related Issues 7. Cyberbullying and Cyberstalking on Online Social Networks 8. Cyberbullying Severity Detection Using Deep Learning Techniques – A Multi-Class Classification over Varied Class Balance Data 9. Cyberbullying among Neurodiverse Learners during Online Teaching and Learning amidst COVID-19 Part IV: Other Issues for Securing Social Networks and Online Profiles 10. Profiling Online Users: Emerging Approaches and Challenges 11. Securing Mobile Social Networks 12. Protecting Regular and Social Network Users in a Wireless Network by Detecting Rogue Access Point: Limitations and Countermeasures 13. A Tutorial on Cross-Site Scripting Attack – Defense against Online Social Networks