PAPER-4 Artificial Intelligence, Data Analytics and Cyber Security – Laws & Practice
CS Professional Mod 1 Electives
Taught by Faculties:
Syllabus
Objective:
To provide skills of high order regarding digital technological developments in emerging economic environment. Level of Knowledge : Expert Knowledge Detailed Contents
Part I : Legal & Compliance Perspective
1. Artificial Intelligence (“AI”) - Introduction and Basics :
*Introduction: Meaning and Definition
*Emergence of AI in modern IT world
*ChatBots and Virtual Assistance: Boon or Bane
*Need and Significance for AI in cyberspace
*Challenges and Opportunities of AI
*AI and Cyber Security
*AI vs. Ethics and Morality
*AI vs. Law and Compliance
*Case Studies
2. Cyber Security :
*Cyber Security
*Cyber Security Techniques
*Challenges and Restrictions
*Cyber Security Policies – National and International
*International Convention on Cyberspace
*Cyber Security: Legal and Compliance Assessment
3. Cyber Threats and Cyber Laws:
*Introduction
*Cyber Threats - Cyber Warfare - Cyber Crime - Cyber Terrorism
*Types of Cyber Threats/ Attacks
*Cyber Threat Hunting and Digital Forensics
*Digital Intellectual Property
*Liability of online platforms
*Laws applicable to AI and Cyber Laws - Information Technology Act, 2000
*Overview of IT Act, 2000, The important provisions of IT Act, 2000, Positive and negative aspects of IT Act, 2000, Information Technology Rules (IT Rules), Companies Act, 2013, Indian Penal Code, 1860, Cyber security Framework (NCFS), Data Protection and AI: Laws and Regulations
4. Cyber Crimes and Investigation Procedures :
*Computer Forensics and Digital Evidence
*Security Audit
5. Regulatory Framework on AI, Cyber Security and Cyberspace :
*E-Governance in India
*RBI Regulations governing AI, Cyber Security and Cyberspace
*SEBI Regulations governing AI, Cyber Security and Cyberspace
*International Principles governing AI, Cyber Security and Cyberspace
*Other Applicable Regulatory Framework
6. Data Analytics and Law :
*Introduction to Data Analytics
*Introduction to Legal Analytics
*Introduction to Machine Learning for Lawyers
*Quantitative Legal Prediction vis-à-vis Business of Law l Bias/ Variance, Precision/Recall & Dimensionality
*Overfitting, Underfitting, & Cross-Validation
*Logistic Regression and Maximum Likelihood
*Triple C Theory and Data Assessment
*Network Analysis and La
7. Computer Hardware and Software :
*An Introduction – Computer System Concept, Types, Categories and Emerging Technologies
*Components of a Computer System
*Primary and Secondary Storage
*Computer Storage Capacities
*Computer Peripherals – Inputs, Output and Storage Devices
*Computer Software: An Introduction l Software Trends
*Multi-Programming, Multi-Processing, Time Sharing, Batch Processing
*On-Line and Real Time Processing
*Application Software
8. Network Basics and Security :
*Intranets
*Extranets
*Internet
*Networking concepts OSI models TCP/IP model
*Ports l Secure protocols
*Common network attacks
*Network Devices Hubs
*Bridges Switch
*Security Devices
*Firewall
9. Softwares and Software Security
10. Database Management :
*Data Base Concepts
*Data Structure
*Data Base Management System
*Data Base Files
*Data Mining and Warehousing
11. Data Analytics :
*Data Recovery Tools
*Data Recovery Procedures and Ethics
*Gathering Evidence Precautions, Preserving and safely handling original media for its admissibility
*Document a Chain of Custody and its importance
*Complete time line analysis of computer files based on file creation, file modification and file access
*Recover Internet Usage Data
*Data Protection and Privacy
*Recover Swap Files/Temporary Files/Cache Files
*Introduction to Encase Forensic Edition, Forensic Toolkit
*Use computer forensics software tools to cross validate findings in computer evidence-related cases
12. Information Systems :
*Systems - An Overview
*Features and Qualities of Information
*Types of Information
*Process of Generating Information
*Value and Cost of Information
*Information Needs a Various Levels of Management
*Factors Influencing Information Needs
*Information System Activities
*Types of Information Systems
*Information Systems in Business Management
*Recent Trends in Information System
13. Management Information Systems – An Overview :
l Concept, Evolution and Elements
l Structure
l Computerized MIS
l Approaches of MIS
l Development
l Pre-requisites of an Effective MIS
l MIS and Decision Support Systems
l MIS and Information Resource Management
l Artificial Intelligence and Expert System
14. Enterprise Resource Management
15. Internet and Other Technologies:
*Applications of Internet
*Internet Protocols
*E-Commerce l Nature, Types (B2B, B2C, C2C)
*Supply Chain Management
*CRM, Electronic Data Interchange (EDI)
*Electronic Fund Transfers (EFT) l Digital Currency
*Block Chain Technology
*Payment Portal
*E-Commerce Security – Mobile Commerce l Bluetooth and Wi-Fi
