Use this URL to cite or link to this record in EThOS: http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.542529
Title: A novel intrusion detection system (IDS) architecture : attack detection based on snort for multistage attack scenarios in a multi-cores environment
Author: Pagna Disso, Jules Ferdinand
Awarding Body: University of Bradford
Current Institution: University of Bradford
Date of Award: 2010
Availability of Full Text:
Access through EThOS:
Access through Institution:
Abstract:
Recent research has indicated that although security systems are developing, illegal intrusion to computers is on the rise. The research conducted here illustrates that improving intrusion detection and prevention methods is fundamental for improving the overall security of systems. This research includes the design of a novel Intrusion Detection System (IDS) which identifies four levels of visibility of attacks. Two major areas of security concern were identified: speed and volume of attacks; and complexity of multistage attacks. Hence, the Multistage Intrusion Detection and Prevention System (MIDaPS) that is designed here is made of two fundamental elements: a multistage attack engine that heavily depends on attack trees and a Denial of Service Engine. MIDaPS were tested and found to improve current intrusion detection and processing performances. After an intensive literature review, over 25 GB of data was collected on honeynets. This was then used to analyse the complexity of attacks in a series of experiments. Statistical and analytic methods were used to design the novel MIDaPS. Key findings indicate that an attack needs to be protected at 4 different levels. Hence, MIDaPS is built with 4 levels of protection. As, recent attack vectors use legitimate actions, MIDaPS uses a novel approach of attack trees to trace the attacker's actions. MIDaPS was tested and results suggest an improvement to current system performance by 84% whilst detecting DDOS attacks within 10 minutes.
Supervisor: Mellor, John E. ; Cullen, Andrea J. Sponsor: Not available
Qualification Name: Thesis (Ph.D.) Qualification Level: Doctoral
EThOS ID: uk.bl.ethos.542529  DOI: Not available
Keywords: Intrusion Detection System (IDS) ; Visibility of attacks ; Multistage Intrusion Detection and Prevention System (MIDaPS) ; Performance evaluation ; Snort ; Computer network security
Share: