ISECTIONA - 20 Marks
QUESTION1
10 marks
You have been hired by a new e-commerce start-up. They have asked you to set up a security
analytics framework. Describe a method you would use to analyse user activity to detect potentially
fraudulent transactions.
[10 marks]
QUESTION2
10 marks
A colleague has proposed the use of unsupervised machine learning to detect anomalies in your
company's web traffic. Evaluate the strengths and weaknesses of this approach.
[10 marks]
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ISECTIONB- 50 Marks
QUESTION3
25 marks
You are provided with the results of a machine-learning analysis of user access logs for a critical
application over the last three months. The results indicate the following anomalies: -
1. A 300% spike in access requests from IP addresses located in foreign countries.
2. User accounts accessthe system at unusual hours, predominantly between 2 AM and 4 AM.
3. Multiple failed login attempts on high-privilege accounts within a short time span.
(
Based on these findings: -
(a) Interpret the potential security risks associated with each of the anomalies listed. [S marks]
(b) Recommend specific action steps to address and mitigate these risks.
[10 marks]
(c) Suggest two preventive measures to avoid such anomalies in the future.
[S marks]
(d) How would you communicate these findings to non-technical stakeholders in the
organisation?
[S marks]
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