Fault detection with multiple observers
IEEE/ACM Transactions on Networking (TON)
Transaction-based Anomaly Detection
Proceedings of the Workshop on Intrusion Detection and Network Monitoring
Towards Dependable Home Networking: An Experience Report
DSN '00 Proceedings of the 2000 International Conference on Dependable Systems and Networks (formerly FTCS-30 and DCCA-8)
DSN '01 Proceedings of the 2001 International Conference on Dependable Systems and Networks (formerly: FTCS)
A toolkit for building dependable and extensible home networking applications
WSS'00 Proceedings of the 4th conference on USENIX Windows Systems Symposium - Volume 4
Research: Signature-based method for run-time fault detection in communication protocols 1
Computer Communications
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Powerline networking is increasingly becoming an important component of home networking systems. Its reliability is however still a problem. In this paper, we consider the popular X10 powerline communication protocol. Our main contribution is a model-based fault detection system that achieves completeness of coverage for X10 faults. We develop experimentally a finite state automaton that models all legal sequences of X10 commands. The task of detecting every violation of this model is complicated by the presence of hidden state and unobservable illegal transitions. This problem is addressed by deducing the model state indirectly from the sequence of X10 commands that is observed on the powerline. To this end, we formulate the model state deduction task in terms of the observability of the model, a concept which arises in discrete-event dynamic systems. Based on the observability property of our X10 model, the detection of model violations is performed in our current implementation via regular expressions on observable X10 command sequences. Our final contribution is a preliminary diagnosis procedure for identifying X10 faults.