Project
Feasibility analysis for using Anomalous Storage Telemetry of workloads to detect Data Exfiltration
Objective
Data exfiltration is a serious but hard to detect cyber data attack, the objective of this project is to assess if we can devise a mechanism that can detect data exfiltration by analysing the storage telemetry of workloads.
Outcome
Need to design and develop an approach to analyse storage telemetry of workloads for detecting anomalous behaviour. Need to validate this method against simulated exfiltration attacks and assess the applicability of the method for detecting the attack.
| Apply By Date |
31 May 2026 |
| Students |
0 / 1 |
| Duration |
4-6 weeks |
| Mentor |
Girish Baxi |
Tools-Technologies | Jupyter Python Notebooks |
College | |