Malware Detection within Object Storage

Matthew Battagel


Supervised by Theodoros Spyridopoulos; Moderated by Matthew J W Morgan

The rapid increase in data production has amplified the necessity for robust and secure data storage systems. MinIO, an open-source object storage platform, offers cost-effective and scalable solutions but lacks an integrated malware detection feature, thereby posing potential risks to user data. This project seeks to augment MinIO by incorporating a scalable malware detection system, with the goal of maintaining MinIO's performance and scalability. In essence, this project aspires to enhance the security features of MinIO while offering a valuable experience in deploying production-grade solutions within a microservice framework.

Initial Plan (06/02/2023) [Zip Archive]

Final Report (12/05/2023) [Zip Archive]

Publication Form