COM3501 Computer Security and Forensics
Summary 
This module provides, in general, an introduction into computer security and forensics. In particular, this module focuses on approaches and techniques for building secure systems and for the secure operation of systems.
The module complements the mathematics module MAS345 and requires a solid understanding of mathematical concepts (e.g., moduloarithmetic, complex numbers, group theory) and logic (set theory, predicate logic, natural deduction) as, e.g., taught in the modules COM365, COM1001, and COM2003). Moreover, the module requires a solid understanding of a programming language (e.g., Java, Ruby or C), basic software engineering knowledge and an understanding of database and Web systems, as, e.g., taught in the modules COM1003, COM1008, COM1009, COM2001, COM6471, and COM6102). The lab sessions require a basic command of Linux in general and the command line (shell) in particular. Students should be aware that there are limited places available on this course

Session 
Spring 2019/20 
Credits 
10 
Assessment 
Formal Examination [70%]; Coursework/MOLE Quizzes[30%] 
Lecturer(s) 
Dr. Elif Kavun & Dr. Nesrine Kaaniche 
Resources 

Aims 
 To raise students’ awareness of the different types of
computer attacks and their effect on data privacy and
business function
 To give students a grounding in the fundamental
principles of information security;
 To give students some practical knowledge of how these
principles and implementing technologies can be used to ensure better data and
system security

Objectives 
By the end of the unit, a candidate will understand:
 The complexity of the security landscape;
 The potential vulnerabilities associated, e.g.,
authentication, data integrity;
 The advantages and disadvantages different information security principles;
 Understand the risks of security vulnerabilities.
They will have demonstrated:
 A detailed understanding of industrially relevant
issues relating to computer security and forensics.
 The ability to present material in a concise yet
comprehensive manner, and to target that material
appropriately to the audience in question

Content 
Lectures will cover:
 Security Fundamentals
 Access Control
 Cryptographic Foundations
 Signatures and PKIs
 Crypto Attacks
 Security Protocols
 Formal Analysis of Security Protocols using Model Checking
 Application/Software Security
 Threat Modelling
 Secure Programming
 Security Testing
 Static code analysis
 Secure Operations & Forensics
The lecture includes lab sessions that require an understanding of Linux systems and programming skills.

Restrictions

The module assumes a solid knowledge of mathematical concepts and core computer science concepts (see summary for detail). Students from departments other than Computer Science will need to demonstrate that they have the necessary knowledge (in particular, a knowledge of predicate logic, natural deduction, algebra as well as at least a solid understanding of one programming language, common algorithms and data structures and technologies for building web applications). 
Teaching Method 
Lectures and some practical work. 
Feedback 
Students will receive feedback in the tutorial sessions in which solutions for the problem sheets are discussed as well as in the lab sessions. 
Recommended Reading 
Online resources will be provided on MOLE and more specific readings will be recommended as part of the exercise sheets and lab exercises.
 MJ. Gersting, Mathematical Structures for Computer Science.
 M. Piff, Discrete Mathematics, (Cambridge University Press) 1991.
 M. Huth and M. Ryan. Logic in Computer Science: Modelling and Reasoning About Systems. Cambridge University Press, New York, NY, USA, 2004. ISBN 052154310X.
 R. J. Anderson. Security Engineering: A Guide to Building Dependable Distributed Systems. John Wiley & Sons, Inc., New York, NY, USA, 1st edition, 2001. ISBN 0471389226. The complete book is available at: http://www.cl.cam.ac.uk/~rja14/book.html.
 A. J. Menezes, S. A. Vanstone, and P. C. V. Oorschot. Handbook of Applied Cryptography. CRC Press, Inc., Boca Raton, FL, USA, 5th edition, 2001. ISBN 0849385237. The complete book is available at: http://cacr.uwaterloo.ca/hac/.
 Neil Daswani, Christoph Kern, and Anita Kesavan. Foundations of Security: What Every Programmer Needs to Know. Apress, Berkely, CA, USA, 2007.
 Michael Howard, David LeBlanc, and John Viega. 24 Deadly Sins of Software Security: Programming Flaws and How to Fix Them. McGrawHill, Inc., New York, NY, USA, 1 edition, 2010.
 Brian Chess and Jacob West. Secure programming with static analysis. AddisonWesley Professional, first edition, 2007.
 Michael Felderer, Matthias Büchler, Martin Johns, Achim D. Brucker, Ruth Breu, and Alexander Pretschner. Security testing: A survey. Advances in Computers, 101:1–51, March 2016.
 Dafydd Stuttard and Macrus Pinto. The Web Application Hacker's Handbook: Finding and Exploiting Security Flaws. O'Reilly. 2011.

