Zero-Day Malware and Software Fault Detection and Mitigation For Enterprise, Cloud, and eCommerce Servers

Overview

Complex software systems are commonplace in modern organizations and are considered critical to daily operations. These systems are expected to run on a diverse set of platforms while interoperating with a wide variety of other applications and servers. While numerous techniques are employed to prevent these systems from failing as a result of software faults or malicious attacks, these systems remain vulnerable, particularly to unknown faults or zero-day malware. To address this problem, a team of Drexel researchers lead by Dr. Spiros Mancoridis has developed Aniketos, a patent-pending software system that employs software sensors and computational geometry techniques to detect, classify and protect against failing software due to previously undetected faults in the code or to security attacks. Drexel University is seeking partners interested in the further development of these technologies and commercialization of the Aniketos software and patent pending algorithms.

Applications

Software Fault Detection, Clasification and Mitigation (e.g. memory leaks)
Malware Detection, Classification and Mitigation

Advantages

High performance: detects and protects against failing software in real-time, well before the software crashes or becomes inoperable
Robust: Unlike most malware detection methods and anti-virus tools, Aniketos is capable of detecting potentially failing states without requiring knowledge of pre-existing malware
Flexible implementation: easy to implement ; can act as a supplement to widely used defensive perimeter technologies - detects whether perimeter defense has been penetrated and if server is compromised