107 Publications (Page 2 of 5)
2023
Security Misconfigurations in Open Source Kubernetes Manifests: An Empirical Study. ACM Transactions on Software Engineering and Methodology
. | Journal Article
 
Software Supply Chain Vulnerabilities Detection in Source Code: Performance Comparison between Traditional and Quantum Machine Learning Algorithms
Akter, M.S.Faruk, Md.J.H.Anjum, N.Masum, M.Shahriar, H.Rahman, A.Wu, F. and Cuzzocrea, A.
 
Survey - Ansible Test Smell
 
TaintPup
 
Teaching DevOps Security Education with Hands-on Labware: Automated Detection of Security Weakness in Python
Akter, M.S.Rodriguez-Cardenas, J.Rahman, M.M.Shahriar, H. and Wu, F.
2022
A Novel Machine Learning Based Framework for Bridge Condition Analysis
Masum, M.Anjum, N.Hossain Faruk, M.J.Shahriar, H.Sakib, N.Valero, M.Karim, M.A.Rahman, A.Wu, F. and Cuzzocrea, A.
(pp. 5530-5535)
 
As Code Testing: Characterizing Test Quality in Open Source Ansible Development
Hassan, M.M. and Rahman, A.
(pp. 208-219)
 
Benefits, Challenges, and Research Topics: A Multi-vocal Literature Review of Kubernetes
Shamim, S.I.Gibson, J.A.Morrison, P. and Rahman, A.
 
Bie Vote: A Biometric Identification Enabled Blockchain-Based Secure and Transparent Voting Framework
Faruk, M.J.H.Islam, M.Alam, F.Shahriar, H. and Rahman, A.
(pp. 253-258)
 
Can We use Authentic Learning to Educate Students about Secure Infrastructure as Code Development?
Rahman, A.Shamim, S.I.Shahriar, H. and Wu, F.
(pp. 631)
 
Detecting and Characterizing Propagation of Security Weaknesses in Puppet-based Infrastructure Management
Rahman, A. and Parnin, C.
 
Development of Blockchain-based e-Voting System: Requirements, Design and Security Perspective
Faruk, M.J.H.Saha, B.Islam, M.Alam, F.Shahriar, H.Valero, M.Rahman, A.Wu, F. and Alam, Z.
(pp. 959-967)
 
Empirical Study of Security Misconfigurations in Kubernetes Manifests
 
Evolution of Quantum Computing: A Systematic Survey on the Use of Quantum Computing Tools
Upama, P.B.Faruk, M.J.H.Nazim, M.Masum, M.Shahriar, H.Uddin, G.Barzanjeh, S.Ahamed, S.I. and Rahman, A.
(pp. 520-529)
 
Evolution of Quantum Computing: A Systematic Survey on the Use of Quantum Computing Tools
Upama, P.B.Faruk, J.H.Nazim, M.Masum, M.Shahriar, H.Uddin, G.Barzanjeh, S.Ahamed, S.I. and Rahman, A.
 
Investigating Novel Approaches to Defend Software Supply Chain Attacks
Hossain Faruk, M.J.Tasnim, M.Shahriar, H.Valero, M.Rahman, A. and Wu, F.
(pp. 283-288)
 
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)