Orthogonal Approach to Malware Detection and Classification Navy SBIR FY2015.1 Sol No.: Navy SBIR FY2015.1 Topic No.: N151-067 Topic Title: Orthogonal Approach to Malware Detection and Classification Proposal No.: N151-067-0110 Firm: Oceanit Laboratories, Inc. Oceanit Center 828 Fort Street Mall, Suite 600 Honolulu, Hawaii 96813-4314 Contact: David Siu Phone: (808) 531-3017 Abstract: Oceanit proposes to develop technologies and tools for detecting and classifying malwares using methods and techniques which are orthogonal to existing methods of binary/code analysis, binary and behavioral signatures. Benefits: Technologies and tools for detecting and classifying malware using approaches which are independent or orthogonal to the current family of malware detection techniques. These would significantly raise the cost for developing exploits by requiring the attackers to evade a large number of orthogonal detection techniques, and thus reduce the sheer number of the distinct exploits targeting our networked computing systems. A novel orthogonal exploit detection tool can be independently marketed or integrated into current computer security product offerings, providing defense in malware detection area. If successful, the tool should find its market in the commercial sector as well as military sector. Return