Detecting Malicious Insiders in Cloud Computing Environment

Cloud Computing represents a significant shift in how computing resources and services are being used. While it opens up an era of promising innovations, it raises significant security challenges which must be addressed for ubiquitous adoption of the technology. Malicious insider activities have been identified as one of the top threats faced by cloud environments. The purpose of the current MITACS proposal is to research and develop an insider detection scheme for cloud computing environment based on user behavioral activities and patterns. The new insider detection model will be implemented in a future release of BioTracker, which is the flagship product of Plurilock Security Solutions Inc., the industrial partner for this project.

Faculty Supervisor:

Dr. Mihai Sima

Student:

Youssef Nakkabi

Partner:

Plurilock Security Solutions Inc.

Discipline:

Engineering - computer / electrical

Sector:

Information and communications technologies

University:

University of Victoria