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Akond Ashfaque Ur Rahman

◀ ▶ joint publications with Mst. Shapna Akter

> Home > Persons > Akond Ashfaque Ur Rahman

Publications

2023
[c57]
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  - conf/compsac/AkterSAGRMRRW23
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  - https://dblp.org/rec/conf/compsac/AkterSAGRMRRW23
Mst. Shapna Akter, Hossain Shahriar, Sheikh Iqbal Ahamed, Kishor Datta Gupta, Muhammad Rahman, Atef Mohamed, Mohammad Rahman, Akond Rahman, Fan Wu:
Case Study-Based Approach of Quantum Machine Learning in Cybersecurity: Quantum Support Vector Machine for Malware Classification and Protection. COMPSAC 2023: 1057-1063
[i18]
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  - journals/corr/abs-2306-00284
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Mst. Shapna Akter, Hossain Shahriar, Sheikh Iqbal Ahamed, Kishor Datta Gupta, Muhammad Asadur Rahman, Atef Mohamed, Mohammad Rahman, Akond Rahman, Fan Wu:
Case Study-Based Approach of Quantum Machine Learning in Cybersecurity: Quantum Support Vector Machine for Malware Classification and Protection. CoRR abs/2306.00284 (2023)
[i17]
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  - journals/corr/abs-2306-08060
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Mst. Shapna Akter, Md. Jobair Hossain Faruk, Nafisa Anjum, Mohammad Masum, Hossain Shahriar, Akond Rahman, Fan Wu, Alfredo Cuzzocrea:
Software Supply Chain Vulnerabilities Detection in Source Code: Performance Comparison between Traditional and Quantum Machine Learning Algorithms. CoRR abs/2306.08060 (2023)
[i16]
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  - journals/corr/abs-2311-16944
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Mst. Shapna Akter, Juanjose Rodriguez-Cardenas, Hossain Shahriar, Akond Rahman, Fan Wu:
Teaching DevOps Security Education with Hands-on Labware: Automated Detection of Security Weakness in Python. CoRR abs/2311.16944 (2023)
2022
[c48]
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  - conf/bigdataconf/AkterFAMSSRWC22
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Mst. Shapna Akter, Md. Jobair Hossain Faruk, Nafisa Anjum, Mohammad Masum, Hossain Shahriar, Nazmus Sakib, Akond Rahman, Fan Wu, Alfredo Cuzzocrea:
Software Supply Chain Vulnerabilities Detection in Source Code: Performance Comparison between Traditional and Quantum Machine Learning Algorithms. IEEE Big Data 2022: 5639-5645

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