SNAPPI
Suspicious Network Analysis for Python Package Index — detecting malicious packages through behavioural and dependency analysis.
Prof. Dr. Ziaur Rahman is an academic, researcher, and software development professional with over 12 years of experience in higher education, research, and industry-oriented technology development. He currently serves as a Full Professor at the Department of Information and Communication Technology (ICT), Mawlana Bhashani Science and Technology University (MBSTU), Bangladesh. In addition to his academic responsibilities, he serves as the Director of the Cyber Security Center, the Secretary and Primary Research Contact of the Quality Review and Ranking Committee (QRRC), and the Student Advisor of the Department of ICT at MBSTU.
As a course coordinator, Prof. Rahman designs and delivers courses in computer programming, software engineering, and cybersecurity. His research interests encompass privacy-preserving IoT security, blockchain technology, edge machine learning, and software security, with a strong focus on developing secure, scalable, and efficient solutions for emerging Industry 4.0 challenges.
Prof. Rahman earned his PhD in Cybersecurity from RMIT University, Australia, where he received the prestigious Higher Degree by Research Award and his doctoral thesis was recognized as outstanding, placing it among the top 5% of submissions. Following his doctoral studies, he served as a Postdoctoral Research Fellow in Cybersecurity at Queensland University of Technology (QUT) and Charles Sturt University (CSU), Australia.
Passionate about bridging academia and industry, Prof. Rahman is an enthusiastic lifelong learner who has completed several professional certifications and advanced training programs, including Infosec Certified Cloud Security Professional (CCSP), IBM Penetration Testing, Threat Hunting, Cryptography and Security, AWS Compliance, and Governance for AI Solutions.
Together with his research collaborators, Prof. Rahman has published extensively in leading international journals and conferences. He maintains active professional affiliations with the Association for Computing Machinery (ACM), Australian Computer Society (ACS), Australian Information Security Association (AISA), Institution of Engineers Bangladesh (IEB), and Institute of Electrical and Electronics Engineers (IEEE). He also serves as the Convener of the BASIS Student Forum, Bangladesh.
Prof. Rahman is the Founding Chair of the Systems Security and Innovation (SSI) Lab at MBSTU, a research hub focused on advancing cybersecurity, software systems, and emerging digital technologies.
As a Lead Organizer, Prof. Rahman is serving as the Secretary of the Technical Program Committee (TPC) of the IEEE International Conference on Engineering and Frontier Technologies (ICEFronT) 2026. He has also contributed as a Program Committee Member for various international conferences, an Associate Editor of a JCR Q1-ranked journal, and a reviewer for several top-tier journals.
Suspicious Network Analysis for Python Package Index — detecting malicious packages through behavioural and dependency analysis.
Cross-Registry Anomalous SysCall Tracing for NPM and PyPI Ecosystems — syscall-level threat detection across open-source registries.
Leveraging large language models for SQL injection detection and personalised user-facing remediation recommendations.
Machine learning-based detection of misconfigured HTTP security headers paired with LLM-driven recovery guidance.
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