Sharaban Tahora

dblp:324/2218 · DBLP profile ↗
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5ranked-venue papers
1as first author
5since 2021 · last 2025
—ORCID · none

Domains — the database's venue-derived domains; a paper can count in several

Applied, interdisciplinary, general and emerging computing · 5 · 1 first-author · 5 since 2021Software engineering, systems software and programming languages · 4 · 1 first-author · 4 since 2021Artificial intelligence and machine learning · 1 · 1 since 2021Databases, data management, data science and information retrieval · 1 · 1 since 2021
YearPublicationVenuePosition
2025 A Survey on the Role of LLMs in AI-Based Software Development: Augmentation and Latent Risks
Md Bajlur Rashid, Mohammad Shafayet Jamil Hossain, Mohammad Ishtiaque Khan, Sharaban Tahora, Aiasha Siddika, Mahmudul Islam Prakash, Sharmin Yeasmin, Hossain Shahriar
IEEE Big Data4
2025 White-box Fuzzing in the Wild: A Chaos Engineering Module for DevOps Security Education
abstract
In today’s fast-paced software development environments, DevOps has revolutionized the way teams build, test, and deploy applications by emphasizing automation, collaboration, and continuous integration/continuous delivery (CI/CD). However, with these advancements comes an increased need to address security proactively, giving rise to the DevSecOps movement, which integrates security practices into every phase of the software development lifecycle. DevOps security remains underrepresented in academic curricula despite its growing importance in the industry. To address this gap, this paper presents a hands-on learning module that combines Chaos Engineering and White- box Fuzzing to teach core principles of secure DevOps practices in an authentic, scenario-driven environment. Chaos Engineering allows students to intentionally disrupt systems to observe and understand their resilience, while White-box Fuzzing enables systematic exploration of internal code paths to discover corner- case vulnerabilities that typical tests might miss. The module was deployed across three academic institutions, and both pre- and post-surveys were conducted to evaluate its impact. Pre-survey data revealed that while most students had prior experience in software engineering and cybersecurity, the majority lacked exposure to DevOps security concepts. Post-survey responses gathered through ten structured questions showed highly positive feedback 66.7% of students strongly agreed, and 22.2% agreed that the hands-on labs improved their understanding of secure DevOps practices. Participants also reported increased confidence in secure coding, vulnerability detection, and resilient infrastructure design. These findings support the integration of experiential learning techniques like chaos simulations and white-box fuzzing into security education. By aligning academic training with real- world industry needs, this module effectively prepares students for the complex challenges of modern software development and operations.
Md Bajlur Rashid, Md Abdul Barek, ABM Kamrul Islam Riad, Mohamed Abdur Rahman 0003, Hossain Shahriar, Akond Ashfaque Ur Rahman, Fan Wu 0013, Guillermo A. Francia III, Md. Jobair Hossain Faruk, Sharaban Tahora
COMPSAC11
2023 BlockTheFall: Wearable Device-based Fall Detection Framework Powered by Machine Learning and Blockchain for Elderly Care
Bilash Saha, A. B. M. Kamrul Riad, Sharaban Tahora, Hossain Shahriar, Sweta Sneha
COMPSAC4
2023 HIPAAChecker: The Comprehensive Solution for HIPAA Compliance in Android mHealth Apps
Bilash Saha, Sharaban Tahora, Md Abdul Barek, Hossain Shahriar
COMPSAC2
2023 Blockchain Technology in Higher Education Ecosystem: Unraveling the Good, Bad, and Ugly
Sharaban Tahora, Bilash Saha, Hossain Shahriar, Hisham M. Haddad
COMPSAC1