116 Publications (Page 3 of 5)
2022
Lessons from Research to Practice on Writing Better Quality Puppet Scripts
Rahman, A. and Sharma, T.
(pp. 63-67)
 
Malware Detection and Prevention using Artificial Intelligence Techniques
Faruk, M.J.H.⋅Shahriar, H.⋅Valero, M.⋅Barsha, F.L.⋅Sobhan, S.⋅Khan, M.A.⋅Whitman, M.⋅Cuzzocrea, A.⋅Lo, D.⋅Rahman, A. and Wu, F.
 
Quantum Machine Learning for Software Supply Chain Attacks: How Far Can We Go?
Masum, M.⋅Nazim, M.⋅Jobair Hossain Faruk, Md.⋅Shahriar, H.⋅Valero, M.⋅Abdullah Hafiz Khan, Md.⋅Uddin, G.⋅Barzanjeh, S.⋅Saglamyurek, E.⋅Rahman, A. and Ahamed, S.I.
 
Quantum Machine Learning for Software Supply Chain Attacks: How Far Can We Go?
Masum, M.⋅Nazim, M.⋅Faruk, M.J.H.⋅Shahriar, H.⋅Valero, M.⋅Khan, M.A.H.⋅Uddin, G.⋅Barzanjeh, S.⋅Saglamyurek, E.⋅Rahman, A. and Ahamed, S.I.
(pp. 530-538)
 
Shifting Left for Machine Learning: An Empirical Study of Security Weaknesses in Supervised Learning-based Projects
Bhuiyan, F.A.⋅Prowell, S.⋅Shahriar, H.⋅Wu, F. and Rahman, A.
(pp. 798-808)
 
Software Supply Chain Vulnerabilities Detection in Source Code: Performance Comparison between Traditional and Quantum Machine Learning Algorithms
Akter, M.S.⋅Faruk, M.J.H.⋅Anjum, N.⋅Masum, M.⋅Shahriar, H.⋅Sakib, N.⋅Rahman, A.⋅Wu, F. and Cuzzocrea, A.
(pp. 5639-5645)
 
Towards Automation for MLOps: An Exploratory Study of Bot Usage in Deep Learning Libraries
Rahman, A.⋅Bhuiyan, F.A.⋅Hassan, M.M.⋅Shahriar, H. and Wu, F.
(pp. 1093-1097)
 
Vision for a Secure Elixir Ecosys tem: An Empirical Study of Vulnerabilities in Elixir Programs
Bose, D.B.⋅Cottrell, K. and Rahman, A.
(pp. 215-218)
 
What questions do developers ask about Julia?
Bose, D.B.⋅Gannod, G.C.⋅Rahman, A. and Cottrell, K.
(pp. 224-228)
2021
An empirical study of vulnerabilities in robotics
Cottrell, K.⋅Bose, D.B.⋅Shahriar, H. and Rahman, A.
(pp. 735-744)
 
Different Kind of Smells: Security Smells in Infrastructure as Code Scripts
Rahman, A. and Williams, L.
IEEE Security and Privacy, vol. 19, pp. 33-41. | Journal Article
 
Exercise Perceptions: Experience Report from a Secure Software Development Course
 
How Do Students Feel about Automated Security Static Analysis Exercises?
Rahman, A.⋅Shahriar, H. and Bose, D.B.
 
Malware Detection and Prevention using Artificial Intelligence Techniques
Hossain Faruk, M.J.⋅Faruk, Md Jobair Hossain⋅Shahriar, H.⋅Shahriar, Hossain⋅Valero, M.⋅Valero, Maria⋅Barsha, Farhat Lamia⋅Barsha, F.L.⋅Sobhan, Shahriar⋅Sobhan, S.⋅Khan, Md Abdullah⋅Khan, M.A.⋅Whitman, M.⋅Whitman, Michael⋅Cuzzocrea, A.⋅Cuzzocrea, Alfredo⋅Lo, Dan⋅Lo, D.⋅Rahman, Akond⋅Rahman, A.⋅Wu, F. and Wu, Fan
(pp. 5369-5377)
 
Practitioner Perception of Vulnerability Discovery Strategies
Bhuiyan, F.A.⋅Murphy, J.⋅Morrison, P. and Rahman, A.
(pp. 41-44)
 
Security Bug Report Usage for Software Vulnerability Research: A Systematic Mapping Study
Bhuiyan, F.A.⋅Sharif, M.B. and Rahman, A.
IEEE Access, vol. 9, pp. 28471-28495. | Journal Article
 
Shhh: 12 Practices for Secret Management in Infrastructure as Code
Rahman, A.⋅Barsha, F.L. and Morrison, P.
(pp. 56-62)
 
’Under-reported’ Security Defects in Kubernetes Manifests
Bose, D.B.⋅Rahman, A. and Shamim, S.I.
(pp. 9-12)
2020
A curated dataset of security defects in scientific software projects
Murphy, J.⋅Brady, E.T.⋅Shamim, S.I. and Rahman, A.
(pp. 112-113)
 
An Exploratory Characterization of Bugs in COVID-19 Software Projects
Rahman, A. and Farhana, E.
 
A preliminary taxonomy of techniques used in software fuzzing
Shakya, R. and Rahman, A.
(pp. 114-115)
 
A Vision to Mitigate Bioinformatics Software Development Challenges
Rahman, A. and Bhuiyan, F.A.
(pp. 57-60)
 
Can we use software bug reports to identify vulnerability discovery strategies?
Bhuiyan, F.A.⋅Shakya, R. and Rahman, A.
(pp. 52-61)
 
Characterizing Co-located Insecure Coding Patterns in Infrastructure as Code Scripts
Bhuiyan, F.A. and Rahman, A.
(pp. 27-32)
 
Gang of eight: A defect taxonomy for infrastructure as code scripts
Rahman, A.⋅Farhana, E.⋅Parnin, C. and Williams, L.
(pp. 752-764)