Bachelor Thesis from the year 2009 in the subject Computer Science - Theory, grade: 2, University of Applied Sciences Technikum Vienna, language: English, abstract: Wireless ad-hoc networks are networks without any infrastructure. Due to this fact they are very vulnerable to attacks. Adversaries do not have to pass different barriers like gateways or firewalls like in wired networks. Therefore different architectures for intrusion detection were developed. The contribution of this paper is to present different intrusion detection architectures, explains their behaviour and compare them. Furthermore it is shown how game theory can be used to improve performance of intrusion detection.

Bachelor Thesis from the year 2009 in the subject Computer Science - Theory, grade: 2, University of Applied Sciences Technikum Vienna, language: English, abstract: Wireless ad-hoc networks are networks without any infrastructure. Due to this fact they are very vulnerable to attacks. Adversaries do not have to pass different barriers like gateways or firewalls like in wired networks. Therefore different architectures for intrusion detection were developed. The contribution of this paper is to present different intrusion detection architectures, explains their behaviour and compare them. Furthermore it is shown how game theory can be used to improve performance of intrusion detection.

Bachelor Thesis from the year 2009 in the subject Computer Science - Theory, grade: 2, University of Applied Sciences Technikum Vienna, language: English, abstract: Wireless ad-hoc networks are networks without any infrastructure. Due to this fact they are very vulnerable to attacks. Adversaries do not have to pass different barriers like gateways or firewalls like in wired networks. Therefore different architectures for intrusion detection were developed. The contribution of this paper is to present different intrusion detection architectures, explains their behaviour and compare them. Furthermore it is shown how game theory can be used to improve performance of intrusion detection.