Wireless networks & Security

 

 

                    COURSEWORK ASSESSMENT SPECIFICATION                  

 

 

Module Title:	Wireless networks & Security
Module Number:	LD7008
Module            Tutor Name(s):	xxxxxxxxx
Academic Year:	2020/21
% Weighting (to overall module):	50%
Coursework Title:
Average Study Time Required by Student:	100 hours of study time which includes time with supervisor

 

Dates and Mechanisms for Assessment Submission and Feedback

 

 

Date of Handout to Students:   13/10/20

Mechanism for Handout to Students:   Via eLP, discussed during Lecture

Date and Time of Submission by Student:   16 January 2021 by 15:59pm   If for personal reasons you cannot submit by that date, and you feel you have grounds for requesting an extension, you should contact nu.london@northumbria.ac.uk

Mechanism for Submission of Work by student: Electronic submission via Turnitin

Date by which Work, Feedback and Marks will be returned to students: Within 20 working days after submission of this assignment

Mechanism for return of assignment work, feedback and marks to students: Formal feedback will be provided via Blackboard module site following completion of all reviews and internal moderation of results.

Assignment Brief

 

Coursework description

You are required to investigate the vulnerabilities and weaknesses of one of the topics below. You are expected to research the technical details of the vulnerability, how it can be done, the impact of this vulnerability and the risks it poses on the networks and the businesses. You are also expected to identify methods that are used or proposed to prevent attacks and mitigate those risks.

 

Topics

1.  Eavesdropping in Bluetooth networks.

2.  IoT wireless networks security issues.

3.  Wireless LAN rogue access point

4.  Student can choose a different attack if it is agreed by lecturer

 

Instructions

• You will need to select your topic 1 week after the handout and send an email to your lecturer with

the topic of your choice.

• You are required to use the template available in assessment page (IEEE template)

• You are expected to use research papers and reference them in your document.

• Papers you reference need to be recent.

 

Learning Outcomes

The following Learning outcomes will be addressed in this assignment:

• LO2. Be able to describe, explain critically and assess wireless and mobile data communication

technologies deployed along with associated security issues.

• LO3. Critically analyse 802.11 protocol information and demonstrate skills in designing secure

wireless networks

• LO4. Apply suitable security measures to protect wireless networks against known weaknesses

 

Marking Schemes

 

 

It is advantageous if your report is structured in a manner that reflects the allocation of marks below: Abstract (max 100 words (discuss scenario))	5
Introduction	10
Literature review on the topic.	15
Technical background on the vulnerability	15
Risk assessment of the impact of the chosen vulnerability/ies on the user/network	10
Methods to protect against this attack (Research different methods)	15
Recommendation of a suitable solution to mitigate the threats caused by the chose vulnerability.	15
Conclusion and further studies	10
References	5
Appendix (if needed)

 

 

Word count: You should not exceed 7 pages using the template with the same font size.

Academic Integrity Statement

 

You must adhere to the university regulations on academic conduct. Formal inquiry proceedings will be instigated if there is any suspicion of plagiarism or any other form of misconduct in your work. Refer to the University’s Assessment Regulations for Northumbria Awards if you are unclear as to the meaning of these terms. The latest copy is available on the University website.

https://www.northumbria.ac.uk/about-us/university-services/academic-registry/quality-and- teaching-excellence/assessment/guidance-for-students/

 

Formative Feedback

There will be an opportunity for formative feedback during the semester. You are advised to start working on this assignment as early as possible so that you can seek clarification from the module tutor regarding any questions you might have during the semester. Note that tutors will not predict your grade, and you should not take the lack of comment on any aspect of your work as indicating that it is correct. You should make every effort to take advantage of formative feedback as tutors will not comment on draft work at other times. Remember that you will get more useful feedback from us by asking specific questions.

 

Penalties for Exceeding Word Limits:

The actual word count is to be declared on the front of the assessment submission. If a given task has a word limit, the following penalties will be applied after any reductions in mark due to late submission have been made, Penalties will be applied as defined in the University Policy on Word Limits Policy.

https://www.northumbria.ac.uk/about-us/university-services/academic-registry/quality-and- teaching-excellence/assessment/guidance-for-students/

 

 

Late Submission Policy:

For coursework submitted up to 1 working day (24 hours) after the published hand-in deadline without approval, 10% of the total marks available for the assessment (i.e.100%) shall be deducted from the assessment mark. Penalties will be applied as defined in the University Policy on the Late submission work.

https://www.northumbria.ac.uk/about-us/university-services/academic-registry/quality-and- teaching-excellence/assessment/guidance-for-students/

 

For clarity: a late piece of work that would have scored 65%, 55% or 45% had it been handed in on time will be awarded 55%, 45% or 35% respectively as 10% of the total available marks will have been deducted.

Failure to submit: The University requires all students to submit assessed coursework by the deadline stated in the assessment brief. Where coursework is submitted without approval after the published hand-in deadline, penalties will be applied as defined in the University Policy on the Late Submission of Work.

 

https://www.northumbria.ac.uk/about-us/university-services/academic-registry/quality-and- teaching-excellence/assessment/guidance-for-students/

 

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Advanced Research topics in Computer Science

 Section A: Assignment title, important dates and weighting

Section B: Student(s) to complete

Notes for students

·         For undergraduate modules, a score above 40% represent a pass performance at honours level.

·         For postgraduate modules, a score of 50% or above represents a pass mark.

·         Late submission of any item of coursework for each day or part thereof (or for hard copy submission only, working day or part thereof) for up to five days after the published deadline, coursework relating to modules at Levels 3, 4, 5, 6 submitted late (including deferred coursework, but with the exception of referred coursework), will have the numeric grade reduced by 10 grade points until or unless the numeric grade reaches or is 40. Where the numeric grade awarded for the assessment is less than 40, no lateness penalty will be applied.

·         Late submission of referred coursework will automatically be awarded a grade of zero (0).

·         Coursework (including deferred coursework) submitted later than five days (five working days in the case of hard copy submission) after the published deadline will be awarded a grade of zero (0).

·         Regulations governing assessment offences including Plagiarism and Collusion are available from https://www.herts.ac.uk/about-us/governance/university-policies-and-regulations-uprs/uprs (please refer to UPR AS14)

·         Guidance on avoiding plagiarism can be found here: https://herts.instructure.com/courses/61421/pages/referencing-avoiding- plagiarism?module_item_id=779436

·         Modules may have several components of assessment and may require a pass in all elements. For further details, please consult the relevant Module Handbook (available on Studynet/Canvas, under Module Information) or ask the Module Leader.

Assignment Briefing Sheet (2020/21 Academic Year)

This Assignment assesses the following module Learning Outcomes (from Definitive Module Document):

Knowledge and understanding:

LO1 Have a conceptual understanding of how established techniques of research are used to create and extend existing knowledge in computer science.

LO2 Be able to identify a research problem from synthesizing problem definitions from relevant literature.

LO3 Demonstrate originality in proposing alternative solutions within a chosen area.

 

Skills and attributes

LO4 Critically evaluate research literature and identify research problems to solve

LO5 Demonstrate ability to propose alternative approaches for future work in a chosen area. LO6 Communicate research knowledge effectively in scholarly manner.

 

Aim: To provide exposure to research areas in Computer Science drawn from the Department’s research profile in order to provide preparatory ground for students to pursue a deeper investigation of a research topic as part of their Master’s project.

Assignment Brief:

 

Research is not just for academics, governments and commercial/industrial organisations typically have a research units where teams of research and subject experts work systematically to create new knowledge/products/services and/or the use of existing knowledge/products/services in a new and creative way so as to generate new concepts, methodologies and understandings. This could include synthesis and analysis of previous research to the extent that it leads to new and creative outcomes. Research encompasses pure and strategic basic research, applied research and experimental development. Applied research is original investigation undertaken to acquire new knowledge but directed towards a specific, practical aim or objective.

 

Assume that you have been newly appointed as a research assistant of a university/a large organisation with many research groups who are working on different research projects, are working along with you. During your probation period, your line manager has asked you to attend the company’s weekly research talks and prepare a portfolio, demonstrating that you have achieved the learning outcomes of your Advanced Research topics in Computer Science successfully and you are indeed, ready to join a British research team that produce world leading research outcomes.

 

Portfolio is an individual assessment comprised of 2 parts. Task 1 and Task 2 will carry 40, and 60% marks of the overall module mark, respectively. You will be awarded a preliminary mark out of 100% for both Task 1 and Task 2, and the weighting will be done as part of the portfolio.

 

During the online follow-up tutorial sessions, the module team will provide general feedback and advice regarding your progress. You will also have the opportunity to submit a draft copy of Task 1 for feedback as indicated in the module guide.

Your portfolio should include (in one document, structured appropriately) following;

Task 1:

a.       A review report on your own research area (relevant to your own MSc route)

b.       Self-reflection 1: using the guidelines received in Week 2 tutorial.

 

 

Task 2:

a.       A review report on another distinct topic covered in the lectures in the subject areas below.

As part of your tutorial work you are preparing these short reports on each topic with the support of your tutors. Where a topic seems quite broad, you can choose an aspect of it. The module will include 4-5 research talks by active researchers in UH on their subject areas ;

i.             Networks, Security and Systems

ii.             Human Oriented Computing

iii.             Data Science

iv.            AI & Robotics

v.            Software Engineering

b.       Self-reflection 2: using the guidelines received in Week 10 revision session.

 

 

The report structure and the marking and feedback schemes and grade band descriptors are given in Annex ‘A’.

All work should be supported by a Title page showing the Module code, your name student number, MSc route and the words “Portfolio Coursework”, citations and adequate references (including approximately 15 high quality references) and appendices where required.

Submission Requirements: The complete portfolio in a single document in PDF format should be uploaded to the canvas site for this module. The document should be named to reflect your tutorial group A#, student# and first name and surname as appears in the UH student records (example A01 123456 Deepthi Ratnayake).

 

Marks awarded for:

This assignment is worth 100 % of the overall assessment for this module. A note to the Students: a score of 50% or above represents a pass mark.

Type of Feedback to be given for this assignment:

Formative verbal/written feedback will be given for the portfolio milestone reports through canvas and during the scheduled sessions as per the module delivery plan. Individual summative feedback will be given through canvas for the final submission. The assignment will be marked according to the attached marking scheme as such you should address each of the marking components within your assignment.

 

Every week, review & reflection questions related to the assessment activities will be posted on StudyNet. These questions will help you to reflect on the activities you will be undertaking as part of the assessed work for the module. Self-assessing your work as you progress through the module and help you understand the subject better. Feedback is not just the marks and the commentary at the end of the module – it is also the regular advice about your work as you undertake the practical activities. If you fail to undertake the tutorial activities and you fail to engage with the class and with the instructors, you will disadvantage yourself.

Annex A

Proposed report sub-headings and marking scheme

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