The base-rate fallacy and its implications for the difficulty of intrusion detection
CCS '99 Proceedings of the 6th ACM conference on Computer and communications security
Mitigating routing misbehavior in mobile ad hoc networks
MobiCom '00 Proceedings of the 6th annual international conference on Mobile computing and networking
Performance analysis of the CONFIDANT protocol
Proceedings of the 3rd ACM international symposium on Mobile ad hoc networking & computing
DOMINO: a system to detect greedy behavior in IEEE 802.11 hotspots
Proceedings of the 2nd international conference on Mobile systems, applications, and services
Detection and prevention of MAC layer misbehavior in ad hoc networks
Proceedings of the 2nd ACM workshop on Security of ad hoc and sensor networks
A framework for MAC protocol misbehavior detection in wireless networks
Proceedings of the 4th ACM workshop on Wireless security
A Framework for the Evaluation of Intrusion Detection Systems
SP '06 Proceedings of the 2006 IEEE Symposium on Security and Privacy
802.11 denial-of-service attacks: real vulnerabilities and practical solutions
SSYM'03 Proceedings of the 12th conference on USENIX Security Symposium - Volume 12
Multihypothesis sequential probability ratio tests .I. Asymptotic optimality
IEEE Transactions on Information Theory
Impact of optimal MAC layer attacks on the network layer
Proceedings of the fourth ACM workshop on Security of ad hoc and sensor networks
Proceedings of the 3rd International Conference on Performance Evaluation Methodologies and Tools
Evaluation of detection algorithms for MAC layer misbehavior: theory and experiments
IEEE/ACM Transactions on Networking (TON)
Performance sensitivities of wireless mesh networks under path-based DoS attacks
GLOBECOM'09 Proceedings of the 28th IEEE conference on Global telecommunications
An Experimental Study of the Performance Impact of Path-Based DoS Attacks in Wireless Mesh Networks
Mobile Networks and Applications
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The widespread deployment of wireless networks and hot spots that employ the IEEE 802.11 technology has forced network designers to put emphasis on the importance of ensuring efficient and fair use of network resources. In this work we propose a novel framework for detection of intelligent adaptive adversaries in the IEEE 802.11 MAC by addressing the problem of detection of the worst-case scenario attacks. Utilizing the nature of this protocol we employ sequential detection methods for detecting greedy behavior and illustrate their performance for detection of least favorable attacks. By using robust statistics in our problem formulation, we attempt to utilize the precision given by parametric tests, while avoiding the specification of the adversarial distribution. This approach establishes the lowest performance bound of a given Intrusion Detection System (IDS) in terms of detection delay and is applicable in online detection systems where users who pay for their services want to obtain the information about the best and the worst case scenarios and performance bounds of the system. This framework is meaningful for studying misbehavior due to the fact that it does not focus on specific adversarial strategies and therefore is applicable to a wide class of adversarial strategies.