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This paper presents an innovative approach to DevOps security education, addressing the dynamic landscape of cybersecurity threats. We propose a student-centered learning methodology by developing comprehensive hands-on learning modules. Specifically, we introduce labware modules designed to automate static security analysis, empowering learners to identify known vulnerabilities efficiently. These modules offer a structured learning experience with pre-lab, hands-on, and post-lab sections, guiding students through DevOps concepts and security challenges. In this paper, we introduce hands-on learning modules that familiarize students with recognizing known security flaws through the application of Git Hooks. Through practical exercises with real-world code examples containing security flaws, students gain proficiency in detecting vulnerabilities using relevant tools. Initial evaluations conducted across educational institutions indicate that these hands-on modules foster student interest in software security and cybersecurity and equip them with practical skills to address DevOps security vulnerabilities.
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Automatic Creation of Fine-Grained Vulnerable Windows System for Penetration Testing Education
In the face of the increasing needs of cybersecurity professionals from US public and private sectors, many universities have created various cybersecurity education programs. Penetration testing, as a critical component in cybersecurity training, often requires setting up virtual machines (VM) with various vulnerabilities. However, it is usually time-consuming and technically difficult to fine tune vulnerabilities in VM systems. In this paper, we present an automatic security patch removal tool that can fine tune various Windows VM systems to precise levels of vulnerabilities, and easily employed by students and educators alike. This tool can create virtual machines that simulate different security states in the Windows operating system timeline and gives a more realistic view of the every-changing state of cybersecurity to the students pursuing an education in the field.
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- PAR ID:
- 10094478
- Date Published:
- Journal Name:
- ASEE Annual Conference and Exposition
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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