Visible to the public Predicting the Difficulty of Compromise through How Attackers Discover VulnerabilitiesConflict Detection Enabled

Submitted by najmeri on Tue, 06/23/2020 - 2:31pm

PI(s), Co-PI(s), Researchers:

PI: Andrew Meneely; Co-PI: Laurie Williams; Researchers: Ben Meyers and Nasif Imtiaz

HARD PROBLEM(S) ADDRESSED
This refers to Hard Problems, released November 2012.

  • Metrics

PUBLICATIONS
Papers written as a result of your research from the current quarter only.

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KEY HIGHLIGHTS
Each effort should submit one or two specific highlights. Each item should include a paragraph or two along with a citation if available. Write as if for the general reader of IEEE S&P.
The purpose of the highlights is to give our immediate sponsors a body of evidence that the funding they are providing (in the framework of the SoS lablet model) is delivering results that "more than justify" the investment they are making.

  • We have finished collecting our timeline data from the CPTC 2019 competition data logs. We developed improved queries for collecting these timelines to speed up future data collection.
  • We are continuing to evaluate (nine) state-of-the-art vulnerability detection tools and are currently interpreting our findings.

COMMUNITY ENGAGEMENT

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EDUCATIONAL ADVANCES:

  • None.
Groups: