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Disambiguation of "Rahman, Akond"

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'Under-reported' Security Defects in Kubernetes Manifests.

, , and . EnCyCriS@ICSE, page 9-12. IEEE, (2021)

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Pierre Akondé

Shahidur Rahman

Ali Rahman

Alexander Rahman

Rameez Rahman

 

Other publications of authors with the same name

Security Misconfigurations in Open Source Kubernetes Manifests: An Empirical Study., , , and . ACM Trans. Softw. Eng. Methodol., 32 (4): 99:1-99:36 (July 2023)As Code Testing: Characterizing Test Quality in Open Source Ansible Development., and . ICST, page 208-219. IEEE, (2022)Characterizing the influence of continuous integration: empirical results from 250+ open source and proprietary projects., , , and . SWAN@ESEC/SIGSOFT FSE, page 8-14. ACM, (2018)Investigating Novel Approaches to Defend Software Supply Chain Attacks., , , , , and . ISSRE Workshops, page 283-288. IEEE, (2022)Quantum Machine Learning for Software Supply Chain Attacks: How Far Can We Go?, , , , , , , , , and 1 other author(s). COMPSAC, page 530-538. IEEE, (2022)Shhh!: 12 Practices for Secret Management in Infrastructure as Code., , and . SecDev, page 56-62. IEEE, (2021)Practitioner Perceptions of Ansible Test Smells., , and . ICSA-C, page 1-3. IEEE, (2023)What is the connection between issues, bugs, and enhancements?: lessons learned from 800+ software projects., , , , and . ICSE (SEIP), page 306-315. ACM, (2018)Case Study-Based Approach of Quantum Machine Learning in Cybersecurity: Quantum Support Vector Machine for Malware Classification and Protection., , , , , , , , and . COMPSAC, page 1057-1063. IEEE, (2023)Mitigating Insecure Outputs in Large Language Models(LLMs): A Practical Educational Module., , , , , , , and . COMPSAC, page 2424-2429. IEEE, (2024)