Tiresias: Client Private Malware Protection

Tiresias is a client private solution to malware protection and threat intelligence. Tiresias allows a user to put all their incoming files in a cryptographically secure Data Chest locally. After sending the Data Chest to our cloud environment, our AI scans and infers if it is malicious without seeing the actual file content from the Data Chest. This method protects the client data privacy and confidentiality. The Data Chest is a novel research outcome at the Queen’s School of Computing. They are cryptographically secure, and it is mathematically impossible with current technology to view the plaintext within a Data Chest without end users active consent. Tiresias conducts client private malware analysis, stays compliant with data privacy laws, and utilizes state-of-the-art AI for accurate malware detection. We are open source, which keeps us accountable for what we install on our users computers.

Faculty Supervisor:

Steven Ding

Student:

Partner:

Springboard Atlantic Inc.

Discipline:

Computer science

Sector:

Technology; Public Service, Policy, and Governance; Cyber Security

University:

Queen's University

Program: