Security Scenario Generator (SecGen): A Framework for Generating Randomly Vulnerable Rich-scenario VMs for Learning Computer Security and Hosting CTF Events

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Authors

  • Z. Cliffe Schreuders
  • Thomas Shaw
  • Mohammad Shan-A-Khuda
  • Gajendra Ravichandran
  • Jason Keighley

Colleges, School and Institutes

External organisations

  • Leeds Beckett University

Abstract

Computer security students benefit from hands-on experience applying security tools and techniques to attack and defend vulnerable systems. Virtual machines (VMs) provide an effective way of sharing targets for hacking. However, developing these hacking challenges is time consuming, and once created, essentially static. That is, once the challenge has been "solved" there is no remaining challenge for the student, and if the challenge is created for a competition or assessment, the challenge cannot be reused without risking plagiarism, and collusion.

Security Scenario Generator (SecGen) can build complex VMs based on randomised scenarios, with a number of diverse use-cases, including: building networks of VMs with randomised services and in-thewild vulnerabilities and with themed content, which can form the basis of penetration testing activities; VMs for educational lab use; and VMs with randomised CTF challenges. SecGen has a modular architecture which can dynamically generate challenges by nesting modules, and a hints generation system, which is designed to provide scaffolding for novice security students to make progress on complex challenges. SecGen has been used for teaching at universities, and hosting a recent UK-wide CTF event.

Details

Original languageEnglish
Title of host publicationUSENIX Workshop on Advances in Security Education 2017
Publication statusPublished - 2017