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20212025
most citedA Comprehensive Survey on the State-of-the-art Data Provenance Approaches for Security Enforcement

13 citations · 13 across the 5 of their papers we have counts for

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cs.CR2025

RESTRAIN: Reinforcement Learning-Based Secure Framework for Trigger-Action IoT Environment

Md Morshed Alam, Lokesh Chandra Das, Sandip Roy +2

Internet of Things (IoT) platforms with trigger-action capability allow event conditions to trigger actions in IoT devices autonomously by creating a chain of interactions. Adversa…

cs.CR2025

SPADE: Enhancing Adaptive Cyber Deception Strategies with Generative AI and Structured Prompt Engineering

Shihab Ahmed, A B M Mohaimenur Rahman, Md Morshed Alam +1

The rapid evolution of modern malware presents significant challenges to the development of effective defense mechanisms. Traditional cyber deception techniques often rely on stati…

cs.CR2024

IoTWarden: A Deep Reinforcement Learning Based Real-time Defense System to Mitigate Trigger-action IoT Attacks

Md Morshed Alam, Israt Jahan, Weichao Wang

In trigger-action IoT platforms, IoT devices report event conditions to IoT hubs notifying their cyber states and let the hubs invoke actions in other IoT devices based on function…

cs.CR2022

IoTMonitor: A Hidden Markov Model-based Security System to Identify Crucial Attack Nodes in Trigger-action IoT Platforms

Md Morshed Alam, Md Sajidul Islam Sajid, Weichao Wang +1

With the emergence and fast development of trigger-action platforms in IoT settings, security vulnerabilities caused by the interactions among IoT devices become more prevalent. Th…

cs.CR2021★ 13 cited

A Comprehensive Survey on the State-of-the-art Data Provenance Approaches for Security Enforcement

Md Morshed Alam, Weichao Wang

Data provenance collects comprehensive information about the events and operations in a computer system at both application and system levels. It provides a detailed and accurate h…