Intelligent Anomaly-Based Intrusion Detection in Linux Kernel, M.Sc. Thesis Sharif University of Technology ; Azmi, Reza (Supervisor)
Abstract
The growth of intelligent attacks has prompted the designers to envision the intrusion detection as a built-in process in operating systems. This thesis investigates a novel anomaly-based intrusion detection mechanism which utilizes the manner of interactions between users and kernel processes to bring functionality to this notion. In fact, this mechanism is inspired by homeostatic behavior of an organism. Homeostatic is the property of an open system or a closed system, particularly a living organism, which regulates its internal environment to maintain a stable, constant condition. Such a developed mechanism can provide the computer system with a high level of protection from artificial...
Cataloging briefIntelligent Anomaly-Based Intrusion Detection in Linux Kernel, M.Sc. Thesis Sharif University of Technology ; Azmi, Reza (Supervisor)
Abstract
The growth of intelligent attacks has prompted the designers to envision the intrusion detection as a built-in process in operating systems. This thesis investigates a novel anomaly-based intrusion detection mechanism which utilizes the manner of interactions between users and kernel processes to bring functionality to this notion. In fact, this mechanism is inspired by homeostatic behavior of an organism. Homeostatic is the property of an open system or a closed system, particularly a living organism, which regulates its internal environment to maintain a stable, constant condition. Such a developed mechanism can provide the computer system with a high level of protection from artificial...
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