Cited by 24Software System Performance and ReliabilityNetwork Security and Intrusion DetectionWeb Application Security Vulnerabilities

The DOI matches its Crossref record; 11 of the 11 references it cites were found in a registry or an index.

Security in DevSecOps: Applying Tools and Machine Learning to Verification and Monitoring Steps

Open access
Cankar, Matija, Petrovic, Nenad, Pita Costa, Joao, Cernivec, Ales, Antic, Jan, Martincic, Tomaz, Stepec, Dejan·2023·Companion of the 2023 ACM/SPEC International Conference on Performance Engineering

Abstract

Security represents one of the crucial concerns when it comes to DevOps methodology-empowered software development and service delivery process. Considering the adoption of Infrastructure as Code (IaC), even minor flaws could potentially cause fatal consequences, especially in sensitive domains such as healthcare and maritime applications. However, most of the existing solutions tackle either Static Application Security Testing (SAST) or run-time behavior analysis distinctly. In this paper, we propose a) IaC Scan Runner, an open-source solution developed in Python for inspecting a variety of state-of-the-art IaC languages in application design time and b) the run time anomaly detection tool called LOMOS. Both tools work in synergy and provide a valuable contribution to a DevSecOps tool set. The proposed approach is demonstrated and their results will be demonstrated on various case studies showcasing the capabilities of static analysis tool IaC Scan Runner combined with LOMOS - log analysis artificial intelligence-enabled framework.

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Integrity signals

Registry

Crossref · 10.1145/3578245.3584943

Cites

11 of 11 references verified0 citation errors · 0 not checkable

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  • Highly regulated sectors such as healthcare, finance, and government face additional hurdles due to stringent compliance requirements, further complicating DevSecOps implementation.

    “Highly regulated sectors such as healthcare, finance, and government face additional hurdles due to stringent compliance requirements, further complicating DevSecOps implementation.”

    From Evolution of DevSecOps and Its Influence on Application Security: A Systematic Literature Review (2025) · cites this paper as [17]

    Section 5 (page unavailable) describes checking application compliance with standards as a complex task for auditors, and the Abstract identifies healthcare as a sensitive domain. The paper does not say that stringent compliance requirements create additional DevSecOps implementation hurdles in healthcare, finance, and government. (LLM, conf=0.76)

    Experimental — accuracy not yet measured
  • Organisations often encounter resistance to change, skill shortages, and the technical complexity of integrating security tools into CI/CD pipelines.

    “Organisations often encounter resistance to change, skill shortages, and the technical complexity of integrating security tools into Continuous Integration/Continuous Deployment (CI/CD) pipelines.”

    From Evolution of DevSecOps and Its Influence on Application Security: A Systematic Literature Review (2025) · cites this paper as [17]

    The Introduction and §2.1 describe DevSecOps workflows, and §3 describes a service that integrates security-scanning tools. None says organisations often face resistance to change, skill shortages, or technical complexity as a barrier to integrating those tools into CI/CD pipelines. Searches for those barriers and for DevSecOps adoption challenges found no supporting passage in our copy. (LLM, conf=0.73)

    Experimental — accuracy not yet measured

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Citations

Cites

Flagged first, then by citations

Research works printed but not linked: 5

  1. Juncal Alonso, Christophe Joubert, Leire Orue-Echevarria, Matteo Pradella, and Daniel Vladu?ic. 2021. Programming trustworthy Infrastructure As Code in a Secure Framework. In First SWForum workshop on Trustworthy Software and Open Source 2021. 1--8.
  2. Kerim Goztepe. 2012. Designing Fuzzy Rule Based Expert System for Cyber Security. International Journal of Information Security Science 1 (01 2012), 13--19.
  3. 10.1155/2022 · DOI
  4. 10.1051/epjconf · DOI
  5. Jina Kim Yukyung Lee and Pilsung Kang. 2021. LAnoBERT: System Log Anomaly Detection based on BERT Masked Language Model. arXiv preprint 211109564 (2021).

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Metadata

Authors
Cankar, M., Petrovic, N., Pita Costa, J., Cernivec, A., Antic, J., Martincic, T., & Stepec, D.
Affiliations
  • XLAB (Slovenia) (SI)
  • XLAB d.o.o. & University of Nis, Ljubljana, Slovenia
  • XLAB d.o.o., Ljubljana, Slovenia
Venue
Companion of the 2023 ACM/SPEC International Conference on Performance Engineering
Publisher
ACM
Published
2023-04-15
Pages
201-205
OpenAlex
W4362489974
Cited by
24
References
8
Citations by year
2026: 3 · 2025: 12 · 2024: 3 · 2023: 6
FWCI
7.25
Type
conference paper
Language
en
Open access
Locations
  • ACM/SPEC International Conference on Performance Engineering (ICPE) (publishedVersion, cc-by)
  • Zenodo (CERN European Organization for Nuclear Research) (cc-by)
Funders
  • HORIZON EUROPE Framework Programme (101070177, 101073821, 101095542)
  • Horizon 2020 Framework Programme (101000162,952644,952633)
Topics
  • Physical Sciences › Computer Science › Computer Networks and Communications › Software System Performance and Reliability
  • Physical Sciences › Computer Science › Computer Networks and Communications › Network Security and Intrusion Detection
  • Physical Sciences › Computer Science › Information Systems › Web Application Security Vulnerabilities
Keywords
DevSecOps, infrastructure as code, static analysis, log analysis, machine learning, security verification, security monitoring, open source tools

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