DOOM: A Novel Adversarial-DRL-Based Op-Code Level Metamorphic Malware Obfuscator for the Enhancement of IDS

16 October 2020

Papers citing "DOOM: A Novel Adversarial-DRL-Based Op-Code Level Metamorphic Malware Obfuscator for the Enhancement of IDS"

6 / 6 papers shown

Title
Obfuscated Memory Malware Detection Sharmila S P Aruna Tiwari Narendra S. Chaudhari 20 0 0 23 Aug 2024
Deep Reinforcement Learning for Cybersecurity Threat Detection and Protection: A Review Mohit Sewak S. K. Sahay Hemant Rathore AAML 51 27 0 06 Jun 2022
LSTM Hyper-Parameter Selection for Malware Detection: Interaction Effects and Hierarchical Selection Approach Mohit Sewak S. K. Sahay Hemant Rathore 59 5 0 23 Sep 2021
ADVERSARIALuscator: An Adversarial-DRL Based Obfuscator and Metamorphic Malware SwarmGenerator Mohit Sewak S. K. Sahay Hemant Rathore AAML 58 8 0 23 Sep 2021
DRo: A data-scarce mechanism to revolutionize the performance of Deep Learning based Security Systems Mohit Sewak S. K. Sahay Hemant Rathore 71 5 0 12 Sep 2021
Detection of Malicious Android Applications: Classical Machine Learning vs. Deep Neural Network Integrated with Clustering Hemant Rathore S. K. Sahay Shivin Thukral Mohit Sewak 39 16 0 28 Feb 2021