JAWAHARLAL NEHRU TECHNOLOGICAL UNIVERSITY HYDERABAD

Course Objectives

Knowledge on social media and its analytics

Course Outcomes:

• 1. Understanding characteristics and types of social media
• 2. Knowledge on layers of social media analytics
• 3. Apply text analysis tools on social media data
• 4. Understand the significance of action analytics
• 5. Detect viral topics on social media (YouTube)

UNIT - I

Introduction To Social Media: World Wide Web, Web 1.0, Web 2.0, Web 3.0, Social Media, Core Characteristics Of Social Media, Types Of Social Media, Social Networking Sites, Using Facebook For Business Purposes, Content Communities

UNIT - II

Social Media Analytics Overview: Purpose Of Social Media Analytics, Social Media Vs. Traditional Business Analytics, Seven Layers Of Social Media Analytics, Types Of Social Media Analytics, Social Media Analytics Cycle, Challenges To Social Media Analytics, Social Media Analytics Tools. Case Study: The Underground Campaign That Scored Big

UNIT - III

Social Media Text Analytics: Types Of Social Media Text, Purpose Of Text Analytics, Steps In Text Analytics, Social Media Text Analysis Tools. Case Study: Tapping Into Online Customer Opinions

UNIT - IV

Social Media Actions Analytics: Introduction To Actions Analytics, Common Social Media Actions, Actions Analytics Tools. Case Study: Cover-More Group

UNIT - V

Social Media Hyperlink Analytics: Types Of Hyperlinks, Hyperlink Analytics, Types Of Hyperlink Analytics, Hyperlink Analytics Tools. Case Study: Hyperlinks And Viral YouTube Videos

TEXT BOOKS:

• 1. Seven Layers of Social Media Analytics Mining Business Insights From Social Media Text, Actions, Networks, Hyperlinks, Apps, Search Engine, And Location Data By Gohar F. Khan Isbn: 1507823207, Isbn-13: 9781507823200

REFERENCES:

• 1. Social Media Analytics: Techniques And Insights For Extracting Business Value Out Of Social Media By Matthew Ganis, Avinash Kohirkar, Pearson Education.
• 2. Social Media Analytics: Effective Tools for Building, Interpreting, and Using Metrics, Marshall Sponder, MGH.
• 3. Big Data And Analytics,Seema Acharya, Subhasinin Chellappan, Wiley Publications.
• 4. Big Data, Black Booktm , Dreamtech Press, 2015 Edition. WEB & DATABASE SECURITY (Professional Elective - II) M.Tech DS I Year I Sem. L T P C 3 0 0 3

Course Objectives:

• 1. Give an Overview of information security
• 2. Give an overview of Access control of relational databases

Course Outcomes

Students should be able to

• 1. Understand the Web architecture and applications
• 2. Understand client side and server side programming
• 3. Understand how common mistakes can be bypassed and exploit the application
• 4. Identify common application vulnerabilities

UNIT - I

The Web Security,The Web Security Problem ,Risk Analysis and Best Practices Cryptography and the Web: Cryptography and Web Security, Working Cryptographic Systems and Protocols, Legal Restrictions on Cryptography, Digital Identification

UNIT - II

The Web’s War on Your Privacy, Privacy-Protecting Techniques, Backups and Antitheft, Web Server Security, Physical Security for Servers, Host Security for Servers, Securing Web Applications

UNIT - III

Database Security: Recent Advances in Access Control, Access Control Models for XML, Database Issues in Trust Management and Trust Negotiation, Security in Data Warehouses and OLAP Systems

UNIT - IV

Security Re-engineering for Databases: Concepts and Techniques, Database Watermarking for Copyright Protection, Trustworthy Records Retention, Damage Quarantine and Recovery in Data Processing Systems, Hippocratic Databases: Current Capabilities and

UNIT - V

Future Trends Privacy in Database Publishing: A Bayesian Perspective, Privacy-enhanced Location- based Access Control, Efficiently Enforcing the Security and Privacy Policies in a Mobile Environment

TEXT BOOK:

• 1. Web Security, Privacy and Commerce Simson Garfinkel, Gene Spafford, O’Reilly.
• 2. Handbook on Database security applications and trends Michael Gertz, Sushil Jajodia

REFERENCES:

• 1. Andrew Hoffman, Web Application Security: Exploitation and Countermeasures for Modern Web Applications, O’reilly
• 2. Jonathan LeBlanc Tim Messerschmidt, Identity and Data Security for Web Development - Best Practices, O’reilly
• 3. McDonald Malcolm, Web Security for Developers, No Starch Press, US