Rhedir gan School of Computer Science and Electronic Engineering

20.000 Credyd neu 10.000 Credyd ECTS

Semester 1

Trefnydd: Dr Cameron Gray

This module aims to:

• Develop an understanding of the issues surrounding security in computing, networks, within the context of the interconnected modern world.
• Provide practical experience of defending systems and networks against attacks.
• Expose students to the comment themes and activities with computer and network security.

Indicative content includes:

• Types of actors within the security field.
• The '3As' of security.
• Types and methods of attack and defence.
• Network segmentation and firewalling
• The Layered Protection Model
• Encryption, and the guarantees it can provide.
• Data Protection and Social Engineering.

da

Equivalent to the range 60%-69%. Is able to analyse a task or problem to decide which aspects of theory and knowledge to apply. Solutions are of a workable quality, demonstrating understanding of underlying principles. Major themes can be linked appropriately but may not be able to extend this to individual aspects. Outputs are readily understood, with an appropriate structure but may lack sophistication.

trothwy

Equivalent to 40%. Uses key areas of theory or knowledge to meet the Learning Outcomes of the module. Is able to formulate an appropriate solution to accurately solve tasks and questions. Can identify individual aspects, but lacks an awareness of links between them and the wider contexts. Outputs can be understood, but lack structure and/or coherence.

ardderchog

Equivalent to the range 70%+. Assemble critically evaluated, relevent areas of knowledge and theory to constuct professional-level solutions to tasks and questions presented. Is able to cross-link themes and aspects to draw considered conclusions. Presents outputs in a cohesive, accurate, and efficient manner.

1. Explain the key principles behind encryption and apply them to enhance security.

2. Apply relevant security theory to design a system for security.

3. Analyse common vulnerabilities in computers, networks and systems.

4. Identify common threat vectors and the layered responses to them.

Math	Enw	Disgrifiad	Pwysau
	Exam		30.00
	Laboratory Reflection		15.00
	Blue Team Exercise		35.00
	Knowledge MCQs		20.00

		Oriau
Lecture	Traditional Lecture (2 hrs x 12 weeks)	24
Laboratory	Laboratory exercises and access for group work. (2 hours x 12 weeks.)	24
Private study	Revision, and completing individual assignments.	52
Group Project	Red/Blue Team security exercise.	100

• Llythrennedd - Medrusrwydd mewn darllen ac ysgrifennu drwy amrywiaeth o gyfryngau
• Rhifedd - Medrusrwydd wrth ddefnyddio rhifau ar lefelau priodol o gywirdeb
• Defnyddio cyfrifiaduron - Medrusrwydd wrth ddefnyddio ystod o feddalwedd cyfrifiadurol
• Hunanreolaeth - Gallu gweithio mewn ffordd effeithlon, prydlon a threfnus. Gallu edrych ar ganlyniadau tasgau a digwyddiadau, a barnu lefelau o ansawdd a phwysigrwydd
• Archwilio - Gallu ymchwilio ac ystyried dewisiadau eraill
• Sgiliau Rhyngbersonol - Gallu gofyn cwestiynau, gwrando'n astud ar atebion a'u harchwilio
• Dadansoddi Beirniadol & Datrys Problem - Gallu dadelfennu a dadansoddi problemau neu sefyllfaoedd cymhleth. Gallu canfod atebion i broblemau drwy ddadansoddiadau ac archwilio posibiliadau
• Gwaith Tîm - Gallu cydweithio'n adeiladol ag eraill ar dasg gyffredin, ac/neu fod yn rhan o dîm gweithio o ddydd i ddydd
• Dadl - Gallu cyflwyno, trafod a chyfiawnhau barn neu lwybr gweithredu, naill ai gydag unigolyn neu mewn grwˆp ehangach
• Hunanymwybyddiaeth & Ystyried - Bod yn ymwybodol o'ch cryfderau, gwendidau, nodau ac amcanion eich hun. Gallu adolygu ,cloriannu a myfyrio'n rheolaidd ar eich perfformiad eich hun ac eraill.

• Solve problems logically and systematically;
• Agree objectives and work plans with individuals;
• Use both verbal and written communication skills to different target audiences;
• Communicate proposals persuasively and respond positively to feedback;
• Demonstrate familiarity with relevant subject specific and general computer software packages.
• Knowledge and understanding of facts, concepts, principles & theories
• Use of such knowledge in modelling and design
• Problem solving strategies
• Analyse if/how a system meets current and future requirements
• Deploy theory in design, implementation and evaluation of systems
• Recognise legal, social, ethical & professional issues
• Knowledge and understanding of commercial and economic issues
• Knowledge of information security issues
• Specify, design or construct computer-based systems
• Evaluate systems in terms of quality and trade-offs
• Deploy tools effectively
• Work as a member of a development team
• Methods, techniques and tools for information modelling, management and security
• Knowledge of systems architecture
• Defining problems, managing design process and evaluating outcomes
• Knowledge and/or understanding of appropriate scientific and engineering principles
• Knowledge and understanding of computational modelling
• Specify, deploy, verify and maintain computer-based systems
• Principles of appropriate supporting engineering and scientific disciplines

Rhestrau Darllen Bangor (Talis)

http://readinglists.bangor.ac.uk/modules/ice-3401.html

Rhestr ddarllen

Recommended

• Introduction to computer security, Matt Bishop, ISBN 9780321247445.
• Introduction to computer security, Michael Goodrich and Roberto Tamassia, ISBN 9780133575477.
• Rtfm: Red Team Field Manual, Ben Clark, ISBN 9781494295509
• Blue Team Field Manual (BTFM) (RTFM), Alan White and Ben Clark, ISBN 9781541016361

Gorfodol mewn cyrsiau:

• H116: BSc Applied Data Science (Degree Apprenticeship) year 3 (BSC/ADS)
• H300: BSc Applied Software Engineering (Deg Apprenticeship GLlM) year 3 (BSC/ASE)
• N109: BSc Bus Analytics w Financial Tech year 3 (BSC/BAFT)
• N312: BSc Banking with Financial Tech year 3 (BSC/BKFT)
• H118: BSc Data Science & Artificial Intelligencetellig year 3 (BSC/DSAI)
• H113: BSc Data Science and Machine Learning year 3 (BSC/DSML)
• H114: BSc Data Science and Visualisation year 3 (BSC/DSV)
• H117: MComp Computer Science year 3 (MCOMP/CS)