UFCFFY-15-M Cyber Security Analytics - University of the West of England Bristol

Assignment Task

The completion of Portfolio Task 1: Conduct an investigation on a web application to identify malicious attack activity using Python data science libraries is worth 20% towards your portfolio for the UFCFFY-15-M Cyber Security Analytics (CSA) module. Please refer to your Assignment Overview for full details.

Portfolio Task 1: Conduct an investigation on a web application to identify malicious attack activity using Python data science libraries

For this task, you will be provided with a personalised dataset that you are expected to analyse. You should aim to identify any suspicious activities that have occurred in the dataset, based on your knowledge and understanding of web application security.

As a cyber security analyst, you have been provided with a set of logs related to your organisation web server. You will need to analyse these logs and seek out suspicious activity based on the data available.

Self-Assessment

For each criteria, please reflect on the marking rubric and indicate what grade you would expect to receive for the work that you are submitting. For your own personal development and learning, it is important to reflect on your work and to attempt to assess this careful. Do think carefully about both positive aspects of your work, as well as any limitations you may have faced.

Identification of the suspicious activity: You estimate that your grade will be .

Analytical reasoning and rationale: You estimate that your grade will be .

Python and Pandas proficiency: You estimate that your grade will be .

Clarity and professional report presentation: You estimate that your grade will be.

Attachment:- Cyber Security Analytics.rar