01Phishing-Detection Evaluation Using A Documented Dataset
A phishing-detection project becomes assessable when the dataset, labels, baseline model and evaluation metrics are defined before implementation. Include false-positive and class-balance considerations.
02Secure Configuration Checker For A Small Linux Baseline
A Linux configuration checker can translate a small security baseline into machine-readable checks. Evaluate coverage, false positives and how safely the tool handles systems that deviate from the baseline.
03Network Anomaly Visualisation From A Teaching Capture
For network anomaly visualisation, use a documented teaching capture or public dataset and define what βanomalyβ means. The project can compare visual cues with simple statistical or rule-based baselines.
04Privacy-Aware Authentication Prototype
A privacy-aware authentication prototype should state the threat model and the personal data it avoids or protects. Evaluation can include security properties, usability trade-offs and implementation limitations.