WM389-15 Network Security
Introductory description
Computer automation, the integration of cyber-physical systems and the exponential increase of devices, software and applications increased the security implications that underpin everything we do on the cyberspace. Assessing these cyberinfrastructures for security and resilience necessitates hybrid and proactive approaches to help us to enhance our understanding or baselines of our current systems' security resistance. Cyber Defence has become one of the biggest business priorities in an attempt to deal with dynamic attack vectors while still relying on static controls and measures. It is a systematic approach to help organisation to better articulate, manage and change threat thresholds and improve the effectiveness of security controls. This module seeks to address the core principles, methods, tools and products available used in proactive cyber operations with the aim of preventing cyber-attacks or decreasing the time taken to discover them.
Frameworks to help better understand and conceptualize how adversaries move through the stages of a cyber-attack have come to the forefront of the cyber security industry. Examples of the frameworks currently in use today are the MITRE ATT&CK, Cyber Kill Chain, Diamond Model. Visual methods include attack trees and attack graphs. Collectively, these are effective techniques which can be used to convey the sometimes-complex tactics, techniques and procedures associated with different stages of a cyberattack.
This module equips students to better understand the stages and concepts of a cyber-attack contextualized by some of these frameworks. Additionally, the module will equip and allow students to develop a practical understanding, as well as applying a range of tools, techniques and procedures utilised by adversaries and attackers during each phase of a cyber attack in a manner that is both legal and ethical. Core concepts of cyber security (confidentiality, integrity, availability, identity, authentication, freshness, authorisation) will be introduced in the contexts of several, generic asset configurations and potential threats (malware, phishing, social engineering, man-in-the-middle).
Module aims
The module guides the students through the fundamentals of building and evaluating successful and secure network communication platforms with focus on all strategic, tactical and operational aspects.
This module seeks to address the core principles, methods, tools and products available used in information gathering and analytics so as to aid decision making with the aim of preventing targeted cyber-attacks.
It also provides an overview of network security mechanisms, tools and techniques to better articulate approaches in informed cyber defence.
Outline syllabus
This is an indicative module outline only to give an indication of the sort of topics that may be covered. Actual sessions held may differ.
Cyber Landscape
Honeypots
Threat modelling processes
Network based attacks
intrusion and multi-stage attack analysis
Lockheed Martin Cyber Kill Chain
Diamond Model
MITRE ATT&CK
Active Reconnaissance
Passive Reconnaissance
Re-purposing
Delivery
Exploitation
Installation
Command & Control(C2)
Action on objectives
Legal and Ethical considerations
Learning outcomes
By the end of the module, students should be able to:
- Provide an advanced understanding of knowledge and awareness of frameworks, methodologies, tools and techniques for cyber defence and network attack analysis in terms of their effectiveness and suitability in different organisational contexts and threat and mitigations in ICT systems and the enterprise environment.
- Apply analytical and critical thinking to security technology solutions development and to systematically analyse and apply structured problem solving against business impact due to cyber attacks
- Correlate tools, techniques and procedures within popular cyber attack analysis frameworks with common attacks within the context of cyber-space.
- Examine and evaluate tools, techniques and measures to provide systems and network hardening against pre-defined security baselines in different organisational contexts
Indicative reading list
Bejtlich, Richard, “The Practice of Network Security Monitoring; understanding incident detection and response”, No Starch Press (2013), ISBN : 9781593275341.
Stallings, William, “Cryptography and Network Security: Principles and Practice”, Pearson (2014), ISBN: 9780273793359.
Anderson, R; “Security Engineering”, Wiley (2008), ISBN : 978-0-470-06852-6.
Hamid Jahankhani et. al.; "Cyber Defence in the Age of AI, Smart Societies and Augmented Humanity", Springer (2020), ISBN: 978-3-030-35745-0
Subject specific skills
You will develop skills and actively be engaged in enquiry during the learning process in network security mechanisms, tools and techniques to real-world scenarios, evaluating and comparing their performance, and analysing the results.
You will look at ethics, risk, governance, compliance, the law, and regulations in relation to intelligence gathering in terms of real-world cybersecurity scenarios, to gain an understanding of the underpinning concepts of network defence, and the techniques and systems used to operate them
You will further develop collaborative abilities through practical sessions and seminars as part of the task to cross-fertilise and discuss ideas about the technologies, challenges and opportunities in the domain of enquiry. Information sharing is highly recommended and promoted so as to present news ways of tackling with these security challenges and issues in our modern cyberspace. Students will further develop their collaborative abilities by working closely with employers and academics.
You will work creatively with new ideas and approaches. It will challenge your ability to intellectually, pragmatically and systematically determine the needs in terms of producing appropriate solutions to address aspects of operational information security management based on existing knowledge in the target discipline suitably balanced with your workplace duties and activities
Transferable skills
Communication Research and Analytical Skills Team Work Personal Motivation, Organisation and Time Management
Study time
Type | Required |
---|---|
Lectures | 12 sessions of 1 hour (8%) |
Practical classes | 20 sessions of 1 hour (13%) |
Work-based learning | 32 sessions of 1 hour (21%) |
Private study | 26 hours (17%) |
Assessment | 60 hours (40%) |
Total | 150 hours |
Private study description
Pre-block exercises given on Moodle.
Post-block problem sets released on Moodle.
Free open source virtual environment in which to conduct experiments
Costs
No further costs have been identified for this module.
You do not need to pass all assessment components to pass the module.
Assessment group A1
Weighting | Study time | Eligible for self-certification | |
---|---|---|---|
Individual Report | 100% | 60 hours | Yes (extension) |
3000 word report |
Feedback on assessment
Feedback will be given as appropriate to the assessment type:
- verbal formative feedback on lab activities related to in-module assessment.
- written summative feedback on post module assessments.
Courses
This module is Core for:
-
DWMS-H653 Undergraduate Digital and Technology Solutions (Network Engineering) (Degree Apprenticeship)
- Year 3 of H653 Digital and Technology Solutions (Network Engineering) (Degree Apprenticeship)
- Year 4 of H653 Digital and Technology Solutions (Network Engineering) (Degree Apprenticeship)
This module is Optional for:
-
DWMS-H652 Undergraduate Digital and Technology Solutions (Data Analytics) (Degree Apprenticeship)
- Year 3 of H652 Digital and Technology Solutions (Data Analytics) (Degree Apprenticeship)
- Year 4 of H652 Digital and Technology Solutions (Data Analytics) (Degree Apprenticeship)
-
DWMS-H654 Undergraduate Digital and Technology Solutions (Software Engineering) (Degree Apprenticeship)
- Year 3 of H654 Digital and Technology Solutions (Software Engineering) (Degree Apprenticeship)
- Year 4 of H654 Digital and Technology Solutions (Software Engineering) (Degree Apprenticeship)