CORE

Social Networking and Security

24CSE675 · S6 · 4 credits

Official KTU 2024 syllabus subject — study with practice, PYQs and AI tools.

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Syllabus
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PRIORITY A
Module 1

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Module 2

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PRIORITY B
Module 3

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PRIORITY B
Module 4

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Module 5

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Modules
Module 01Introduction to Social Networks Security (6 hours)expand

Types and Classification of Social Media, Problems and Opportunities of Social Media- Risks of Social Media, Public Embarrassment, False Information, Information Leakage, Retention and Archiving Content, Backing Up Social Media, Loss of Data/Equipment, Dark Side of Social Media, Cybercrime, Social Engineering, Hacked Accounts; Sharing Information on Social Media.

Module 02Attacks on Social Media And Data Analytics Solutions (9 hours)expand

Malware and Attacks, Types of Malware, Threats to Cyber Security, Attacks on Social Media, Data Analytics Solutions, Data Mining for Cyber Security, Malware Detection as a Data Stream Classification Problem, Cloud-Based Malware Detection for Evolving Data Streams, Cloud Computing for Malware Detection, Design and Implementation of the System Ensemble Construction and Updating, Malicious Code Detection.

Module 03Confidentiality, Access Control, Privacy and Trust In Socialexpand

Media (7 hours) CPT Framework and Process, Inference Engines, Confidentiality Management, Privacy for Social Networks, Trust for Social Networks, Security Policies for Social Networks, Access Control System for Social Networks

Module 04Inference Control & Secure Query Processing for Social Mediaexpand

(6 hours) Architecture and Design of an Inference Controller, Inference Control through Query Modification - Query Modification, Query Modification With Relational Data, Sparql Query Modification, Query Modification for Enforcing Constraints, Applications, Use Cases of Inference Controller Secure Cloud Query Processing with Relational Data for Social Media, Secure Cloud Query Processing for Semantic Web-Based Social Media - Access Control and System Architecture.

Module 05Social Network Integration and Analysis with Privacyexpand

Preservation (7 hours) Social Network Analysis, Limitations of Current Approaches for Privacy-Preserving Social Networks - Privacy Preservation of Relational Data, K-Anonymity and L- Diversity, Privacy Preservation of Social Network Data, Framework of Information Sharing and Privacy Preservation For Integrating Social Networks - Sharing Insensitive Information, Generalization, Probabilistic Model of Generalized Information, Integrating Generalized Social Network For Social Network Analysis Task.

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