IY4S733-Advanced Security Concepts- Curriculum Information

IY4S733 - Advanced Security Concepts 01 Jul 2022 - 31 Aug 2028 | Version 1

Associated Module Information

Module Code:	IY4S733
Module Title:	Advanced Security Concepts
Faculty:	Faculty of Computing, Engineering and Science
Faculty Group:	Cyber Security
Faculty Sub Group:	Cyber Security
Module Leader:	Muhammad Awais
Module Team:	Joshua Richards, Rachael Medhurst, Sharan Johnstone, Christopher Tubb, Andrew Bellamy, Christopher Manley, Madhu Khurana, Emma Derbi, Joshua Richards, Peter Eden, Richard Ward, Beth Jenkins, Arun Kumar, Nisha Rawindaran, Mamoun Qasem, Chelsea Cooper
First Intended Intake:	SEP 2022	Final Year of Intake:
Date Closed:
Credit Value:	20	Credit Level:	7
Language:	English
Percentage of Module Taught in Welsh:	0
Equivalent Module:
HECOS codes:	100376 - computer and information security
HECOS Code Weighting:	100

Document Version Information

Version	1
Valid From	01 Jul 2022
Valid To	31 Aug 2028

Module Aims

To provide detailed technical knowledge of the advanced concepts associated with cyber security attack and defence surfaces.

Content Summary

Attack Surface and Detection

Attack surface, attack vectors and corresponding vulnerabilities
Attack detection methodologies as part of organisational security architecture
Intrusion and anomaly detection approaches
Decision support systems and situational awareness

Defence Surface and Situational Awareness

Role of People, Process and Technology in continuous monitoring
Cyber security visualization: anomaly detection and trust management
Socio-technical cyber defence
AI-driven Cyber warfare

Learning and Teaching Methods

Activity Type	Hours
Lecture	12
Tutorial	12
Practical classes and workshops	24
Independent Study	78
Directed Study	48
Formative Assessment - Scheduled	2
Interdisciplinary work	12
Problem / challenge based learning	12
Total Hours Selected	200

Learning Outcomes

#	Learning Outcome
LO1	To demonstrate a systematic and critical understanding of cyber-attack surface.
LO2	To demonstrate the ability to conduct thorough analysis, evaluation and synthesis of the cyber defence surface and situational awareness.

Module Requisites

N/A

Assessment Criteria

Assessment Category	Assessment Type	Description	Duration	Word Count	Weight (%)	Best of?	Pass Mark
Asynchronous Assessment	Practical Coursework 1 (Asynch)	A challenge based practical coursework	0	2499	100	No	40

Assessment Matrix

Assessment Type	Learning Outcomes
Assessment Type	LO1	LO2
Practical Coursework 1 (Asynch)	✔	✔

Reading List

Anderson,R. (2021) Security Engineering: A Guide to Building Dependable Distributed Systems, 3rd Edition, Wiley.

Roberts, A. (2021) Cyber Threat Intelligence - The No-Nonsense Guide for CISOs and Security Managers, Apress.

Kenyon, B. (2019). ISO 27001 controls – A guide to implementing and auditing, itgp, 2019.

McNab,C. (2016) Network Security Assessment,3rd Edition. O’Reilly.

Wang, L. et al. (2017) Network Security Metrics, Springer.

Hills, M. (2016) Why Cyber Security is a Socio-Technical Challenge: New Concepts & Practical Measures to Enhance Detection Nova.

Donaldson, S.et al. (2015). Stanley G. Siegel, Chris K. Williams and Abdul Aslam, Enterprise Cybersecurity - How to Build a Successful Cyberdefense Program Against Advanced Threats, Apress.

Ronald R. et al. (2015). Intelligent Methods for Cyber Warfare, Springer.

Duncan Hodges and Sadie Creese, Understanding cyber-attacks, 1st edition, Taylor & Francis Group, 2015.

Usman, M. et al. 2015. Mobile agent-based cross-layer anomaly detection in smart home sensor networks using fuzzy logic, IEEE Transactions on Consumer Electronics, vol. 61, no. 2, pp. 197-205.