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

Submitted by najmeri on Tue, 09/15/2020 - 12:51pm

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.

  • None

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 made significant progress on our analysis of the CPTC 2019 and CPTC 2018 competition data. We are seeking places for publication and have started working on a manuscript. Our machine learning models make us optimistic.

COMMUNITY ENGAGEMENT

  • We have assisted in the instrumentation for the CPTC 2020 competition. Our capacity is reduced from last year to focus on analyzing existing data.

EDUCATIONAL ADVANCES:

  • None.
Groups: