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

4 July 2021

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

4 / 4 papers shown

Title
RESTRAIN: Reinforcement Learning-Based Secure Framework for Trigger-Action IoT Environment Md Morshed Alam Lokesh Chandra Das Sandip Roy Sachin Shetty Weichao Wang AAML OffRL 163 0 0 12 Mar 2025
Security Approaches for Data Provenance in the Internet of Things: A Systematic Literature Review Omair Faraj David Megías Joaquin Garcia-Alfaro 27 0 0 03 Jul 2024
IoTWarden: A Deep Reinforcement Learning Based Real-time Defense System to Mitigate Trigger-action IoT Attacks Md Morshed Alam Israt Jahan Charlotte AAML 108 2 0 16 Jan 2024
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 Jinpeng Wei 35 6 0 09 Feb 2022