CCS354: Network Security syllabus for AI&DS 2021 regulation (Professional Elective-IV)

Network Security detailed syllabus for Artificial Intelligence & Data Science (AI&DS) for 2021 regulation curriculum has been taken from the Anna Universities official website and presented for the AI&DS students. For course code, course name, number of credits for a course and other scheme related information, do visit full semester subjects post given below.

For Artificial Intelligence & Data Science 6th Sem scheme and its subjects, do visit AI&DS 6th Sem 2021 regulation scheme. For Professional Elective-IV scheme and its subjects refer to AI&DS Professional Elective-IV syllabus scheme. The detailed syllabus of network security is as follows.

Course Objectives:

Download the iStudy App for all syllabus and other updates.

Unit I

FUNDAMENTALS OF SOCIAL NETWORKING
Introduction to Semantic Web, Limitations of current Web, Development of Semantic Web, Emergence of the Social Web, Social Network analysis, Development of Social Network Analysis, Key concepts and measures in network analysis, Historical overview of privacy and security, Major paradigms, for understanding privacy and security

Unit II

SECURITY ISSUES IN SOCIAL NETWORKS
The evolution of privacy and security concerns with networked technologies, Contextual influences on privacy attitudes and behaviors, Anonymity in a networked world

Unit III

Download the iStudy App for all syllabus and other updates.

Unit IV

PREDICTING HUMAN BEHAVIOR AND PRIVACY ISSUES
Understanding and predicting human behavior for social communities, User data
Management, Inference and Distribution, Enabling new human experiences, Reality mining, Context, Awareness, Privacy in online social networks, Trust in online environment, What is Neo4j, Nodes, Relationships, Properties

Unit V

ACCESS CONTROL, PRIVACY AND IDENTITY MANAGEMENT
Understand the access control requirements for Social Network, Enforcing Access Control Strategies, Authentication and Authorization, Roles-based Access Control, Host, storage and network access control options, Firewalls, Authentication, and Authorization in Social Network, Identity & Access Management, Single Sign-on, Identity Federation, Identity providers and service consumers, The role of Identity provisioning

Course Outcomes:

1. Develop semantic web related simple applications
2. : Address Privacy and Security issues in Social Networking
3. Explain the data extraction and mining of social networks
4. Discuss the prediction of human behavior in social communities
5. Describe the applications of social networks

Practical Exercises:

Download the iStudy App for all syllabus and other updates.

Text Books:

1. Peter Mika, “Social Networks and the Semantic Web, First Edition, Springer 2007.
2. BorkoFurht, “Handbook of Social Network Technologies and Application, First Edition, Springer, 2010.
3. Learning Neo4j 3.x – Second Edition By Jerome Baton, Rik Van Bruggen, Packt publishing
4. David Easley, Jon Kleinberg, “Networks, Crowds, and Markets: Reasoning about a Highly Connected Worldll, First Edition, Cambridge University Press, 2010.

Reference Books:

1. Easley D. Kleinberg J., “Networks, Crowds, and Markets – Reasoning about a Highly Connected Worldll, Cambridge University Press, 2010.
2. Jackson, Matthew O., “Social and Economic Networks”, Princeton University Press, 2008.
3. GuandongXu ,Yanchun Zhang and Lin Li, “Web Mining and Social Networking -Techniques and applications”, First Edition, Springer, 2011.
4. Dion Goh and Schubert Foo, “Social information Retrieval Systems: Emerging Technologies and Applications for Searching the Web Effectively”, IGI Global Snippet, 2008.
5. Max Chevalier, Christine Julien and Chantal Soule-Dupuy, “Collaborative and Social Information Retrieval and Access: Techniques for Improved user Modeling”, IGI Global Snippet, 2009.
6. John G. Breslin, Alexander Passant and Stefan Decker, “The Social Semantic Web”, Springer, 2009.

For detailed syllabus of all the other subjects of Artificial Intelligence & Data Science 6th Sem, visit AI&DS 6th Sem subject syllabuses for 2021 regulation.

For all Artificial Intelligence & Data Science results, visit Anna University AI&DS all semester results direct link.