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                            Funding & Awards
 Trait Analytic Program Search (TAPS)
Note:
              This awardee has received supplemental funding. This award detail page includes information about both the original award and supplemental awards.
Award Information
Awardee
              WetStone Technologies, Inc.
Award #
              2007-DN-BX-K187
Funding Category
              Competitive
Location
                    Ithaca, NY
Congressional District
              23
Status
              Closed
Funding First Awarded
              2007
Total funding (to date)
              $167,991
Original Solicitation
              NIJ FY 07 Electronic Crime and Digital Evidence Recovery: Invited Full Proposals
Description of original award (Fiscal Year 2007, $68,000)
This project will aid computer forensic investigators and examiners by developing a tool or set of tools to detect malicious software that is used to perform Steganography or data hiding functions without the use of hash-based searches for specific files.  Examining programs in their disk-resident, static form, the Trait Analytic Program Search (TAPS) compares files to known models of steganographic programs and attempts to determine if a given executable file is malicious.
ca/ncf
Supplemental Award 1 (Fiscal Year 2008, $99,991)
This Phase II proposal expands upon the identification of steganography programs accomplished in Phase I and broadens the research to examine new methods of detecting polymorphic and metamorphic forms of malicious code. The goal of this effort is to develop a software-based forensic tool that will identify running software (through the analysis of memory snapshots) that contains contents or exhibits behavior consistent with polymorphic and/or metamorphic code. The rationale for the examination of memory snapshots is that both polymorphic and metamorphic forms of malware are most vulnerable when executing in memory.
This project contributes to the reduction of crime laboratory backlogs for computer evidence by increasing the speed and accuracy with which malware can be identified.
nca/ncf
  
Date Created: September 11, 2007
    
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