SBIR/STTR Research Award

Automatic Artificial Diversity for Virtual Machines

Award identifier 9da7401eba65974184e53018469a4861d352baf107c813b4ce23efdd91f4d541Awarding agency Department of Defense · Air Force

Award amount

$99,767

Program and phase

SBIR · Phase I

Award year

2010

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Award details

Awarding agency
Department of Defense
Branch
Air Force
Recipient company
Clear Hat Consulting, Inc.
Proposal award date
2010-02-25
Contract end date
2010-11-24
UEI
M7KYA4F3MWP5
Solicitation number
2009.3
Topic code
AF093-053

Research abstract

We propose to apply viral metamorphic transformation techniques to increase code diversification in homogenous virtualized environments. The idea of metamorphic transformation is borrowed from the computer virus world. By applying semantics preserving transformations to its own code, a metamorphic virus aims to create different versions of itself that escape detection by anti-viral software. Ironically, the metamorphic virus shares many of the characteristics that we have identified as desirable for increasing the diversification and resilience of legitimate software against automated attack. Like the virus, we want to reduce the number of identifiable patterns in the system. This is so that we can prevent an attacker’s exploit code from using hardcoded offsets or patterns to locate, call, or subvert critical Operating System functions. Also like the virus, we seek to increase the difficulty of program analysis. By applying metamorphic transformations to system code, we can increase the burden on the attacker by requiring advanced capabilities like disassemblers that are impractical or unlikely to fit within most exploit payloads. Finally, because metamorphic transformations can be applied to binary code without affecting its underlying functionality, we anticipate being able to achieve maximum transparancy and interoperability with other, higher level diversification approaches. BENEFIT: A platform for automated diversification will be valuable to the government, especially in the defense sector to improve the resiliency and survivability among homogenous virtualized systems. Defense applications are likely to include peripheral network nodes in command and control centers and high performance computing centers that are exposed to unpredictable hostile threats over the internet. These systems will benefit from technologies designed to reduce susceptibility to automated attacks including viruses, trojans, worms, and botnets. These technologies will also be valuable in the commercial sector. By reducing susceptibility to attacks our solution will help minimize system downtime and translate to increased efficiency and reduced cost for businesses.

Technology keywords

Not reported

Other awards by this recipient

Verified by the same UEI. These are other public SBIR/STTR award pages, not a merged company record.

Awards with the same topic code

Verified by an exact topic code match. This is not a text-similarity match.

Research funding history

7 SBIR/STTR records share this UEI (2009–2012). Reported award amounts total $3,846,845. Reported amounts are not federal obligations.

Phases: Phase I, Phase II

Agencies: Department of Defense

Agency intelligence

Department of Defense

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