Securing Social Networks in Cyberspace

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advanced social network threat analysis
automated content classification
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Category=UR
Covert Channel
COVID-19
Cross-site Scripting
Cross-site Scripting Attack
cyberbullying
Cyberbullying Events
Cyberbullying Incidents
cyberspace
cyberstalking
deep learning
Deep Learning Models
Deep Learning Techniques
DP
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Fake AP
Feature Selection Algorithms
Hate Speech
hate-speech detection
Huffman Code
IoT security challenges
Latent Dirichlet Allocation
LBS Provider
Machine Learning
Machine Learning Algorithms
mobile social networks
Multi-class Classification
multimedia content protection
multimedia contents
neurodiverse learners
neurodiversity in education
online harassment detection
online teaching
personal information
privacy preserving methods
privacy-preserving analytics
RNN
Rogue Access Point
Social Media Platforms
Social Network Provider
SQL Injection
steganographic techniques
Twitter
Unauthorized AP
user awareness
user profiling techniques
wireless network
XSS Attacks
XSS Vulnerabilities

Product details

  • ISBN 9780367681739
  • Weight: 721g
  • Dimensions: 178 x 254mm
  • Publication Date: 11 Oct 2021
  • Publisher: Taylor & Francis Ltd
  • Publication City/Country: GB
  • Product Form: Hardback
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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.

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.