Visible to the public Vulnerability and Resilience Prediction Models - April 2015Conflict Detection Enabled

Submitted by drwright on Sun, 03/22/2015 - 1:18pm

Public Audience
Purpose: To highlight project progress. Information is generally at a higher level which is accessible to the interested public. All information contained in the report (regions 1-3) is a Government Deliverable/CDRL.

PI(s):  Mladen Vouk, Laurie Williams
Researchers:  Donghoon Kim

HARD PROBLEM(S) ADDRESSED

  • Security Metrics and Models
  • Resilient Architectures
  • Scalability and Composability

Resilience of software to attacks is an open problem. Resilience depends on the science behind the approach used, as well as our engineering abilities. The scope of interests includes recognition of attacks through metrics and models we use to describe and recognize software vulnerabilities, and predict resilience to attacks in the field (Security Metrics and Models). It also depends on the software (and system) architecture(s) used (Resilient Architectures), and their scalability (Scalability and Composability). For example, if one has a number of highly attack-resilient components and appropriate attack sensors, is it possible to compose a resilient system from these parts, and how does that solution scale and age?

PUBLICATIONS

None in this quarter

 

ACCOMPLISHMENT HIGHLIGHTS

  • We continued to assess back-to-back comparisons as a pro-active tool for detection of attacks (including zero-day attacks).
  • We continued to work fine-granularity data-flow oriented soft attack detectors.
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