e-Masters in Cyber Security

Core Modules

• Introduction to Cryptography
  The module covers the basics of finite field Arithmetic, private and public-key cryptography, existing cryptosystems and their security, Cryptanalysis of existing systems and more.
• Operating System Principles
  The module covers the computer organization interface, the concept of a process, threads, scheduling, process synchronization, deadlocks, memory management, and more.
• Computer Networking I
  The module covers the introduction, history, and development of computer networks, networks topologies, various aspects of layering and protocols, physical layer, MAC layer, data link layer, and more.
• Introduction to Application Security, Mobile Security, and Critical Infrastructure Security
  The module covers various aspects of Security in Mobile Platforms, Application Security, and Issues in Critical Infrastructure and SCADA Security.

Elective Module

Basket I Elective

• Computer Networking II
  The module covers the network layer, transport layer, design issues in protocols at different layers, network programming, socket programming, and application layer.
• Introduction to Linear Algebra
  The module covers vector spaces, examples, Rn, Cn; subspaces, linear independence, dependence and dimension, linear transformations, matrices, matrix algebra, determinants, properties of matrices and determinants, systems of linear equations, and more.
• Introduction to Web Security, Network Security and Defenses
  The module covers Security Issues in TCP/IP, Wireless Security, Network Defense tools, DNSSec, NSec3, Distributed Firewalls, Intrusion Detection tools, Threat Models, Denial of Service Attacks, DOS-proof network architecture, Security architecture of World Wide Web, Security Architecture of Web Servers, and Web Clients and more.
• Machine Learning for Cyber Security
  The module covers an introduction to data classification, Supervised vs. Unsupervised Learning, Linear Regression, Multivariate Regression., Logistic Regression, Hypothesis Testing, Maximum Likelihood Estimation, Bayesian Classification, Model Selection, Regularization, Generalization, Cross Validation and more.

Basket II Elective

• Introduction to Hardware Security
  The module provides an in-depth understanding of Internet of Things (IoT) ecosystem and security vulnerabilities, attacks on cyber-physical systems, reverse engineering, side-channel attacks, intellectual property (IP) piracy, Hardware Trojan, electronic counterfeiting, Physical Unclonable Function (PUF) and more.
• Embedded and Cyber Physical Systems, and IOT Security
  The module covers the modeling, implementation, and verification issues related to developing a cyber-physical system. In addition, through the discussion of implementing an embedded control system, the module will cover the basic design principles of an embedded system.
• Cyber laws, Case studies and Trends
• Advanced Topics in Cryptography
  The module covers zero-knowledge protocols, one-way functions, advanced protocols for different applications, network, and system-level security issues, post-quantum Cryptography, and more.
• Advanced Critical Infrastructure Security
  The module covers Stuxnet worm and its aftereffects in the Critical Infrastructure security, Game Theory and other analytical modeling of the security problems of critical infrastructures, security of the Networked Infrastructure, event monitoring, Event Correlation, and Situational Awareness, vulnerability Database and its importance and more.
• Introduction to Blockchain Technology
  The module covers Basic Cryptographic primitives used in Blockchain – Secure, Collision-resistant hash functions, digital signature, public-key cryptosystems, zero-knowledge proof systems, basic Distributed System concepts, Blockchain 2.0, Blockchain 3.0, E-Governance and other contract enforcement mechanisms, and more.
• Computational Number Theory for Cryptographers
  The module covers Elementary Operations, Polynomials, Integer Lattices, Elliptic Curves, and more.
• Introduction to Malware Analysis
  The module covers malware classification, types, and platform-specific issues with malware, Intrusion into IT and operational network (OT) and their signs, manual malware infection analysis, signature-based malware detection and classification – pros and cons, and need for machine learning-based techniques, and more.
• Game Theory
  The module covers non-cooperative game theory, complete information sequential move games, complete information simultaneous move games, incomplete information games, cooperative Game Theory, and more.
• Honeypots and Deception Technologies for Advanced Protection
  The module covers Cyber Threat Intelligence Collection Techniques, OSINT, Deception Technology for Monitoring Cyber Threat, Client-Side Deception Techniques, Service side Deception techniques, IT honeypots, OT honeypot, ICS Honeypots and more.