VLDB 2026 Research / reviewers in the wild / expert
Md. Morshedul Islam
dblp:187/8976
· DBLP profile ↗
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
| Year | Publication | Venue | Position |
|---|---|---|---|
| 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 |
COMPSAC | 3 |
| 2024 | Enhancing Adversarial Defense in Behavioral Authentication Systems Through Random Projections
Md. Morshedul Islam, Md. Khairul Anam |
SECRYPT | 1 |
| 2021 | Model Inversion for Impersonation in Behavioral Authentication Systems
Md. Morshedul Islam, Reihaneh Safavi-Naini |
SECRYPT | 1 |
| 2020 | Fuzzy Vault for Behavioral Authentication System
Md. Morshedul Islam, Reihaneh Safavi-Naini |
SEC | 1 |
| 2017 | Privacy-Enhanced Profile-Based Authentication Using Sparse Random Projection
Somayeh Taheri, Md. Morshedul Islam, Reihaneh Safavi-Naini |
SEC | 2 |
| 2016 | POSTER: A Behavioural Authentication System for Mobile UsersabstractActive 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 |
CCS | 1 |