Anomaly Detection in SCADA Networks

SCADA (Supervisory Control and Data Acquisition) systems enable network-based monitoring and/or control of processes in various industrial sectors including electrical power distribution, energy, waste water and water. These systems serve as the backbone of much of Canada’s critical infrastructure. Security compromise of SCADA systems allows malicious attackers to gain control of the industrial processes in question with devastating results. The objectives of the proposed research are to conduct academic research into anomaly detection algorithms for SCADA network threat detection. As the intern will conduct research in the network security area they would develop expertise that is in a huge demand. This will immensely benefit both the intern and Canada as well due to enhanced secure infrastructures. Solana Networks will be enhancing their security monitoring tool to include SCADA networks. Hence this research will directly influence the companys product space.

Faculty Supervisor:

Sudhakar Ganti

Student:

Tianming Wei

Partner:

Solana Networks

Discipline:

Computer science

Sector:

Information and communications technologies

University:

University of Victoria