A Novel Reinforcement Learning Model for Post-Incident Malware Investigations

v1v2v3 (latest)

A Novel Reinforcement Learning Model for Post-Incident Malware Investigations

International Conference on Social Networks Analysis, Management and Security (ICSNAMS), 2024

19 October 2024

Vassil T. Vassilev

ArXiv (abs)PDF HTML

Papers citing "A Novel Reinforcement Learning Model for Post-Incident Malware Investigations"

9 / 9 papers shown

Title
Reinforcement Learning for an Efficient and Effective Malware Investigation during Cyber Incident Response Dipo Dunsin M. C. Ghanem Karim Ouazzane Vassil T. Vassilev 279 5 0 08 Jan 2025
AI-Enabled System for Efficient and Effective Cyber Incident Detection and Response in Cloud Environments Mohammed A. M. Farzaan M. C. Ghanem Ayman El-Hajjar Deepthi N. Ratnayake 220 13 0 08 Apr 2024
Discovering Command and Control Channels Using Reinforcement LearningSoutheastCon (SoutheastCon), 2023 Cheng Wang Akshay Kakkar Christopher Redino Abdul Rahman Ajinsyam S Ryan Clark Dan Radke Tyler Cody Lanxiao Huang Edward Bowen 148 6 0 13 Jan 2024
A Comprehensive Analysis of the Role of Artificial Intelligence and Machine Learning in Modern Digital Forensics and Incident Response Dipo Dunsin M. C. Ghanem Karim Ouazzane Vassil T. Vassilev 145 78 0 13 Sep 2023
D2WFP: A Novel Protocol for Forensically Identifying, Extracting, and Analysing Deep and Dark Web Browsing Activities M. C. Ghanem Patrick Mulvihill Karim Ouazzane Ramzi Djemai Dipo Dunsin 130 11 0 11 Sep 2023
ESASCF: Expertise Extraction, Generalization and Reply Framework for an Optimized Automation of Network Security ComplianceIEEE Access (IEEE Access), 2023 M. C. Ghanem Thomas M. Chen M. Ferrag Mohyi E. Kettouche 243 10 0 20 Jul 2023
MERLIN -- Malware Evasion with Reinforcement LearnINg Tony Quertier Benjamin Marais Stephane Morucci Bertrand Fournel AAML 287 21 0 24 Mar 2022
Deep Reinforcement Learning for Cyber SecurityIEEE Transactions on Neural Networks and Learning Systems (TNNLS), 2019 Thanh Thi Nguyen Vijay Janapa Reddi OffRL AI4CE 344 421 0 13 Jun 2019
Yes, Machine Learning Can Be More Secure! A Case Study on Android Malware Detection Ambra Demontis Marco Melis Battista Biggio Davide Maiorca Dan Arp Konrad Rieck Igino Corona Giorgio Giacinto Fabio Roli AAML 138 299 0 28 Apr 2017