We present a novel machine learning (ML) based method- ology that automatically identifies phases of cyber attacks on a single host system such as a honey pot.
May 18, 2021 · We present a novel AI-based methodology that identifies phases of a host-level cyber attack simply from system call logs.
A novel AI-based methodology that identifies phases of a host-level cyber attack simply from system call logs using 114 different attack phases collected by ...
Oct 22, 2024 · We present a novel AI-based methodology that identifies phases of a host-level cyber attack simply from system call logs.
Objective: Utilizing machine learning to analyze attack logs and provide real-time detection of network threats with improved accuracy and response speed.
A novel AI-based methodology for identifying cyber attacks in honey pots. M AbuOdeh, C Adkins, O Setayeshfar, P Doshi, KH Lee. Proceedings of the AAAI ...
Honeypots, utilized for detecting and deflecting unauthorized network access, have evolved with artificial intelligence advancements.
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Oct 22, 2024 · In this study, a VoIP-based honeypot was used to determine the profiles of cyberattacks and attackers. A network environment was created ...
The current research articulates a novel strategy, outlining a method to analyze large volumes of attacker data from honeypots utilizing large language models ( ...
Sep 12, 2024 · In this paper, we present a novel approach to creating realistic and interactive honeypot systems using Large Language Models (LLMs).