Real problems from the cyber-crime frontline. Read every statement, select one for your team, and develop your solution following the published guidelines.
5 matching problem statements · showing 1–5 of 5
| Code | Problem statement | Track | Action |
|---|---|---|---|
| PS-01 | Financial Crime Investigation | ||
| PS-02 | Malware Analysis | ||
| PS-03 | Social Network Analysis | ||
| PS-04 | Sentiment Analysis | ||
| PS-05 | Digital Forensics |
Develop an intelligent platform to detect suspected mule bank accounts and cyber-enabled financial fraud by analysing transactional behaviour, fund flows, cybercrime complaints, and relationships among connected entities. The system should generate explainable risk scores, identify suspicious networks, and support investigations through an integrated dashboard.
Develop an intelligent platform to analyse Android APKs, identify suspicious functionality, examine application behaviour, extract Indicators of Compromise (IoCs), and generate explainable security findings and risk scores through an integrated forensic dashboard.
Develop an AI-driven platform to detect coordinated disinformation campaigns by analysing public social media content, suspicious account networks, posting behaviour, manipulated multimedia, narrative propagation, and geographic trends. The platform should generate early warnings and visualisations to support evidence-based investigations.
Develop an intelligent platform to identify, classify, prioritise, and monitor public grievances raised on social media. It should analyse text, images, videos, and comments to identify civic issues, locations, concerned departments, and duplicate complaints, providing actionable insights through an integrated dashboard.
Develop an intelligent forensic platform to detect potential tampering in digital images, audio recordings, videos, CCTV footage, and associated metadata. The system should identify suspicious alterations, verify authenticity and integrity where possible, and generate structured forensic reports.
