Discrete event system framework for fault diagnosis with measurement inconsistency: case study of rogue DHCP attack

摘要: Fault detection and diagnosis ( FDD ) facilitates reliable operation of systems. Various approaches have been proposed for like Analytical redundancy AR ), Principal component analysis PCA Discrete event system DES model etc., in the literature. Performance schemes greatly depends on accuracy sensors which measure parameters. Due to various reasons faults, communication errors may occasionally miss or report erroneous values some parameters engine, resulting measurement inconsistency these Schemes AR, mechanisms handle inconsistency, however, they are computationally heavy. based techniques widely used because computational simplicity, but cannot efficiently. Existing do not use Measurement inconsistent MI FDD. These permanently unmeasurable erroneous, so ignoring them lead weak diagnosis. To address this issue, we propose a discrete MIDES framework, uses at instances measured by sensors. Otherwise, when erroneously reported, invokes an estimator diagnoser that predicts state( s is expected be in, using subsequent other The efficacy method illustrated pump-valve system. In addition, intrusion has developed rogue dynamic host configuration protocol DHCP) server attack mapping fault framework.