FREE
AKTU Social Network Security (BCCS070) Syllabus PDF – B.Tech 4th Year
Social Network Security BCCS070
All syllabus, notes, question bank & PYQ for this subject
Free
Download now
- English
- Semester 7
- 0 downloads
- 0 views
Official AKTU syllabus of Social Network Security (BCCS070) for B.Tech 4th Year – 3 credits, L-T-P 3-0-0. Read the unit-wise course content, course outcomes, evaluation pattern and recommended books online, or download the PDF.
Syllabus — Social Network Security
Download PDFBCCS070 · 3 credits · L-T-P 3-0-0
Course Outcomes
At the end of course, the student will be able to
| CO 1 | To develop semantic web related simple applications | K 2 |
| CO 2 | To explain Privacy and Security issues in Social Networking | K 2 |
| CO 3 | To explain the data extraction and mining of social networks | K 2 |
| CO 4 | To discuss the prediction of human behavior in social communities | K 1 |
| CO 5 | To describe the Access Control, Privacy and Security management of social networks | K 2 |
Course Content
L-T-P: 3-0-0
| Unit | Topic | Proposed Lecture |
|---|---|---|
| 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 | 08 |
| 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. | 08 |
| III | EXTRACTION AND MINING IN SOCIAL NETWORKING DATA Extracting evolution of Web Community from a Series of Web Archive, Detecting communities in social networks, Definition of community, Evaluating communities, Methods for community detection and mining, Applications of community mining algorithms, Tools for detecting communities social network infrastructures and communities, Big data and Privacy | 08 |
| 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 | 08 |
| 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 | 08 |
Text Books
- Peter Mika, “Social Networks and the Semantic Web”, First Edition, Springer 2007.
- Borko Furht, “Handbook of Social Network Technologies and Application”, First Edition, Springer, 2010.
- David Easley, Jon Kleinberg, “Networks, Crowds, and Markets: Reasoning about a Highly Connected World”, First Edition, Cambridge University Press, 2010.
- Easley D. Kleinberg J., “Networks, Crowds, and Markets – Reasoning about a Highly Connected World”, Cambridge University Press, 2010.
- Jackson, Matthew O., “Social and Economic Networks”, Princeton University Press, 2008.
- GuandongXu ,Yanchun Zhang and Lin Li, “Web Mining and Social Networking – Techniques and applications”, First Edition, Springer, 2011.
Ratings & Reviews
No reviews yet — share your experience with this item.