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.
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.Hinweis: Dieser Artikel kann nur an eine deutsche Lieferadresse ausgeliefert werden.
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.
Inhaltsangabe
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
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
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