LO4 Develop skills (including for teamwork) necessary for the development of organisational and managerial policies for effective security administration

  
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CS7064 - Information Security 

Masters (07)

Module specification

 

Module title

Information Security

Module level

Masters (07)

Credit rating for module

20

School

 

Total study hours

200

 

48 hours

Scheduled learning & teaching activities

52 hours

Assessment Preparation / Delivery

100 hours

Guided independent study

Assessment components

Type

Weighting

Qualifying mark

Description

Group Presentation

60%

 

Implementation of an encryption algorithm and evaluation of its applicability.Small group assignment involves a present

Unseen Examination

40%

 

A 2 hour exam consisting of short answer questions covering major areas of the module

 

Period

Campus

Day

Time

Module Leader

         


Module summary
The module is concerned with the study and application of tools and techniques that enable the protection of information and other resources of enterprise information systems. Increases in storage, manipulation, and transfer of data across computer networks requires effective encryption techniques. This module will provide insight into some of those techniques, algorithms and their development through history. Part of the course is dedicated to the mathematics (number theory, finite fields and elliptic curves) relevant to cryptography with techniques developed using software such as Maple. The focus will also be on the analysis, design and implementation of tools and techniques that achieve the three goals of confidentiality, integrity and authenticity in security computing. Particular focus will be on the management framework that facilitate the accomplishment of the above three goals. Importantly the module will address the ethical framework of information security, the issues around privacy and data protection and the rights of private citizens to access strong encryption. Throughout the module connections with other aspects of artificial intelligence and cybersecurity will be emphasised through the examples and case studies chosen.

Prior learning requirements
N/A

Syllabus
• Information security principles; confidentiality, authenticity and integrity. Framework standards for Information Security and taxonomies of threat; threat assessment and the identification of vulnerabilities. .
• Human factors in Information Security; vulnerabilities and possible defences; legal frameworks and responsibilities in respect of privacy and data protection. Security Administration.; e.g. integrating people, processes, technologies and policies.
• Frameworks to identify and evaluate risks. Qualitative and quantitative models; risk mitigation and controls. Business continuity planning frameworks.
• Introduction to cryptography, history and terminology. Basic principles of substitution and transposition.
• Symmetric cryptography systems including Advanced Encryption Standard and related techniques of block and stream ciphers.
• Asymmetric cryptography including RSA, Diffie Hellman key exchange, El Gamel, Elliptic Curve cryptography.
• Message authentication and non repudiation. Hash standards, message authentication codes and digital signatures based on public/private keys.
• Mathematics for cryptography: primes and prime factorisation techniques; quotient/remainders, gcds and inverses modulo n; finite fields and discrete logarithms; elliptic curves. Mathematics will be developed as required with emphasis on computational interpretation through Maple/Excel and other programming languages.
• Security processes and technologies for enterprise systems; e.g. access control, authentication, firewalls, filters, biometrics etc.
• E-commerce security and e-policy; e.g. digital signature, PKI, etc. Mobile and wireless security protocols.
• Ethical issues raised by questions of privacy and access to strong encryption.

Balance of independent study and scheduled teaching activity
The module learning hours are divided between lectures, covering background, theory and examples and workshops, which involve discussion of the issues raised and the development of mathematical techniques. The remaining hours of private study will allow students to complete background reading, work on exercises and prepare for assessment.

Learning outcomes
This module aims to enable students to:
LO1 Show appreciation of the concepts, mechanisms and processes involved in securing information in enterprise information systems
LO2 Demonstrate an understanding of the mathematics that underpins modern (symmetric and asymmetric) systems for cryptography
LO3 Acquire in-depth knowledge and training to analyse, design and implement dependable security infrastructure for enterprise applications
LO4 Develop skills (including for teamwork) necessary for the development of organisational and managerial policies for effective security administration
LO5 Appreciate and analyse the ethical, practical and human dimensions of information security and cryptography and apply the legal frameworks covering privacy and data protection

Assessment strategy
Coursework: Implementation of an encryption algorithm and evaluation of its applicability. The small group assignment involves a presentation of the implementation of an asymmetric algorithm and a report summarising its strengths and weaknesses
Written Exam: A 2 hour exam consisting of short answer questions covering major areas of the module


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