Md. Morshedul Islam

dblp:187/8976 · DBLP profile ↗
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6ranked-venue papers
4as first author
3since 2021 · last 2026
—ORCID · conflict

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

Security and privacy · 5 · 4 first-author · 2 since 2021Software engineering, systems software and programming languages · 1 · 1 since 2021Applied, interdisciplinary, general and emerging computing · 1 · 1 since 2021
YearPublicationVenuePosition
2026 RAILS-DK: Dynamic Knowledge Management for Retrieval-Augmented Code Repair in Scientific Computing
Wali Mohammad Abdullah, Sayeed Islam, Md. Morshedul Islam, Baidya Nath Saha, Hossain Shahriar
COMPSAC3
2024 Enhancing Adversarial Defense in Behavioral Authentication Systems Through Random Projections
Md. Morshedul Islam, Md. Khairul Anam
SECRYPT1
2021 Model Inversion for Impersonation in Behavioral Authentication Systems
Md. Morshedul Islam, Reihaneh Safavi-Naini
SECRYPT1
2020 Fuzzy Vault for Behavioral Authentication System
Md. Morshedul Islam, Reihaneh Safavi-Naini
SEC1
2017 Privacy-Enhanced Profile-Based Authentication Using Sparse Random Projection
Somayeh Taheri, Md. Morshedul Islam, Reihaneh Safavi-Naini
SEC2
2016 POSTER: A Behavioural Authentication System for Mobile Users
abstract
Active behavioural-based authentication systems are challenge-response based implicit authentication systems that authenticate users using the behavioural features of the users when responding to challenges that are sent from the server. They provide a flexible (no extra hardware) and secure second factor for authentication systems, with applications including protection against identity theft and password compromise of web applications. We propose a novel active behavioural authentication system for mobile devices, called DAC (Draw A Circle), where a challenge specifies a set of constraints on a circle and the response is a user drawn circle that satisfies the constraints. We carefully select a set of features that capture behavioural traits of the user which is used to construct a profile for them, then design a matching algorithm that allows users to be authenticated with approximately 95% accuracy. We discuss our implementation, and present our experimental results that show, (i) the accuracy of authentication system and (ii) non-delegateability of profile, guaranteeing that the user cannot pass their credentials to others.
Md. Morshedul Islam, Reihaneh Safavi-Naini
CCS1