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IRonMAN: InterpRetable Incident Inspector Based ON Large-Scale Language Model and Association miNing
Discover IRONMAN, a cutting-edge system for incident response and analysis, leveraging large-scale language models to improve attack detection and investigation with unparalleled accuracy and scalability.
- The IRONMAN system is designed to analyze incident response by mining significant tokens from command lines, allowing for more accurate detection and investigation of attacks.
- The system utilizes a large-scale language model to tokenize command lines into meaningful pieces, overcoming limitations of traditional mining algorithms.
- The IRONMAN system has been tested on real-world data and has achieved a high accuracy rate in identifying malicious commands.
- The system can analyze command lines from various formats, including query languages such as WMI, LDAP, and SQL.
- The IRONMAN system is designed to be scalable and can handle a large number of command lines, making it suitable for real-world incident response scenarios.
- The system provides a feature space for analyzing command lines, allowing for easy identification of significant tokens and their corresponding ideal token sets.
- The IRONMAN system can be extended to handle multiple command lines or clusters of command lines, making it a valuable tool for incident response and analysis.
- The system’s interpretability allows security experts and analysts to easily understand the results and make informed decisions.