Frame-based attack representation and real-time first order logic automatic reasoning
Document Type
Conference Proceeding
Publication Date
12-1-2005
Abstract
Internet has grown by several orders of magnitude in recent years, prompting network security as a great concern. Hence, Intrusion Detection Systems (IDSs) are used to timely detect intrusions and defend against attack attempts. However, the current IDS technology generates a huge volume of alert events due to false alarm alerts, and requires costly alert manual reviewing due to the lack of intelligence in IDS. As a solution, Security Information Management (SIM) is a growing area of interest in network security. In this paper, we propose FAR-FAR (Frame-based Attack Representation and First-order logic Automatic Reasoning) system in SIM to relieve the administrator from the time-consuming and costly alert manual reviewing. With the backward-chaining, FAR-FAR can make real-time reasoning for network attack scenarios. In FAR-FAR, the aggregated alerts from different IDS agents are converted into uniform frame-structured streams by Case Grammar. Afterwards, First-order logic production rules are used to extract the hidden attack scenarios. Our simulation results show that FAR-FAR's attack scenario reasoning rate for the incoming alerts are generally far less than the incoming alerts' inter-arrival time. This guarantees FAR-FAR to automatically reason the attack plans in real time and predict possible attack attempts at an early stage. © 2005 IEEE.
Identifier
33745726026 (Scopus)
ISBN
[0780389328, 9780780389328]
Publication Title
Itre 2005 3rd International Conference on Information Technology Research and Education Proceedings
First Page
225
Last Page
229
Volume
2005
Recommended Citation
Yan, Wei; Hou, Edwin; and Ansari, Nirwan, "Frame-based attack representation and real-time first order logic automatic reasoning" (2005). Faculty Publications. 19362.
https://digitalcommons.njit.edu/fac_pubs/19362
