VULCON

Abstract

Vulnerability remediation is a critical task in operational software and network security management. In this article, an effective vulnerability management strategy, called VULCON (VULnerability CONtrol), is developed and evaluated. The strategy is based on two fundamental performance metrics: (1) time-to-vulnerability remediation (TVR) and (2) total vulnerability exposure (TVE). VULCON takes as input real vulnerability scan reports, metadata about the discovered vulnerabilities, asset criticality, and personnel resources. VULCON uses a mixed-integer multiobjective optimization algorithm to prioritize vulnerabilities for patching, such that the above performance metrics are optimized subject to the given resource constraints. VULCON has been tested on multiple months of real scan data from a cyber-security operations center (CSOC). Results indicate an overall TVE reduction of 8.97% when VULCON optimizes a realistic security analyst workforce’s effort. Additionally, VULCON demonstrates that it can determine monthly resources required to maintain a target TVE score. As such, VULCON provides valuable operational guidance for improving vulnerability response processes in CSOCs.

Document Details

Document Type
Pub Defense Publication
Publication Date
Jun 12, 2018
Source ID
10.1145/3196884

Entities

People

  • Ankit Shah
  • George Cybenko
  • Katheryn A. Farris
  • Rajesh Ganesan
  • Sushil Jajodia

Organizations

  • Army Research Office
  • Dartmouth College
  • George Mason University

Tags

Fields of Study

  • Computer science

Readers

  • Canadian European Scientific Immigration and Epilepsy Clearance Studies
  • Cybersecurity.
  • Neural Network Machine Learning.

Technology Areas

  • Cyber