Unit 1 Introduction to Social Media

• Overview of Social Media platforms (Facebook
• History and evolution of social media
• Social media network architecture Types of Social Media and Their Uses :Social networking
• media sharing
• microblogging, and other categories
• Popular platforms and their functionalities Privacy and Security Concerns in Social Media :Authentication and Access Control
• Authentication mechanisms in social media platforms
• Access control models (Role-Based Access Control
• Attribute-Based Access Control) Phishing and Social Engineering Attacks
• spear phishing
• Prevention and mitigation strategies Malware
• Ransomware, and Exploits
• Types of malware affecting social media platforms
• Case studies and prevention strategies Distributed Denial-of-Service (DDoS) Attacks Dark side Cybercrime
• Hacked accounts
• Imposter accounts
• Vulnerable third-party apps
• Password theft
• Privacy settings and data security
• Fake News, and Information Manipulation
• Cross-Site Scripting (XSS) and SQL Injection attacks
• Hate Speech
• Blackmarkets Hate speech case study – Truth Social Study of Terms and Services - 1
• Twitter - https://x.com/en/tos/previous/version_13

Unit 2 Facebook - https

6 lecture hours

• //www.facebook.com/terms.php/ 6 15 Program Name: Master of Engineering Level: PG Branch: Information Technology Subject Code : ME02023021 Subject Name : Security and Privacy in Social Media Sample social network visualization and analysis using Gephi 2 Privacy Risks in Social Media : Data Privacy in Social Media
• User Profiling and Tracking
• Social Media Privacy Settings and Tools
• Privacy settings on popular platforms
• Tools for managing privacy on social media
• Data Mining and Big Data in Social Media
• Data collection and analysis in social media
• Big data’s impact on privacy Security and Privacy Preservation Mechanisms :Encryption in Social Media
• End-to-end encryption
• Encryption protocols used in social media platforms
• Secure Messaging Systems
• Case study: WhatsApp and Signal Anonymization and Pseudonymization
• Secure Data Storage and Access Control
• Techniques for securing data storage on social media platforms
• Cloud storage and data access control mechanisms

Unit 3 Legal and Ethical Aspects of Social Media Privacy

3 lecture hours

• Data protection regulations (GDPR
• Balancing privacy with freedom of speech
• Role of governments in social media data collection Data ownership and control India's Digital Personal Data Protection Act (DPDPA): https://www.meity.gov.in/writereaddata/files/Digital%20Personal%2 0Data%20Protection%20Act%202023.pdf

Unit 4 Research and Emerging Topics in Social Media Security and Privacy

8 lecture hours

• :Research Methods in Social Media Security
• Approaches to research in cybersecurity and privacy in social media
• Tools and techniques for conducting research Privacy-Preserving Techniques for Social Media: Emerging research on privacy-preserving social media techniques
• Differential privacy
• homomorphic encryption, etc
• Data Analytics and Social Media Data mining and sentiment analysis: Analyzing user behavior and activity
• Graph modeling of social networks
• Predictive analysis based on social media data Program Name: Master of Engineering Level: PG Branch: Information Technology Subject Code : ME02023021 Subject Name : Security and Privacy in Social Media Challenges in data anonymization: Re-identification risks in anonymized datasets
• De-anonymization techniques and their ethical implications Blockchain for Social Media Privacy: How blockchain can enhance privacy and security in decentralized social media platforms
• Blockchain-based identity verification and its use in social media Research Aspects: The potential of blockchain in preventing data
• manipulation on social media
• Decentralized social networks (e.g.
• Steemit) Machine Learning in Social Media Security AI-based security solutions: Identifying patterns of harmful content
• cyberbullying, and fake news using machine learning
• Automated detection of malicious accounts or activities (e.g.
• spam bots) Deep learning models for security: Neural networks for anomaly detection
• Natural language processing (NLP) for detecting hate speech or inappropriate content

Unit 5 Social Media Privacy Policies and Case Studies

5 lecture hours

• Case Study: Facebook Data Breach: Detailed analysis of the Facebook data breach
• Lessons learned and security measures post-breach Case Study: Cambridge Analytica Scandal: Privacy and security aspects of the Cambridge Analytica scandal
• Public backlash and regulatory response Privacy Violations in Social Media Apps: Case studies of privacy violations in social media apps (e.g.
• Analysis of privacy breach responses

Unit 6 Future Trends in Social Media Security

5 lecture hours

• Internet of Things (IoT) and Social Media : Security implications of IoT integration with social media
• Potential risks and solutions Program Name: Master of Engineering Level: PG Branch: Information Technology Subject Code : ME02023021 Subject Name : Security and Privacy in Social Media The Role of 5G in Social Media Privacy : 5G network rollout and its impact on social media security
• Privacy implications of high-speed networks Cybersecurity in Virtual Reality (VR) and Augmented Reality (AR) :Security and privacy challenges in VR and AR applications linked to social media
• Research trends in VR/AR security

Unit 7 Data collection from social networks, challenges, opportunities, and

7 lecture hours

• pitfalls in online social networks
• Collecting data from Online Social Media (also listing techniques used by the social media to prevent data scraping - https://www.gerrishlegal.com/blog/global- dpas-urge-social-media-platforms-to-prevent-unlawful-data- scraping) Open Source Intelligence (OSINT)
• Mobile OSNs
• Non-US centric OSNs: .kr
• Special purpose OSNs: Pinterest
• Privacy settings in OSNs
• PII leakage in OSNs

Unit 8 Research Work and Project

5 lecture hours

• Identifying Research Gaps in Social Media Security Conducting Empirical Research in Social Media Security: Methods for conducting empirical research in social media security
• Data collection and analysis techniques