Mississippi State University

About: Mississippi State University is a education organization based out in Starkville, Mississippi, United States. It is known for research contribution in the topics: Population & Catfish. The organization has 14115 authors who have published 28594 publications receiving 700030 citations. The organization is also known as: The Mississippi State University of Agriculture and Applied Science & Mississippi State University of Agriculture and Applied Science.

Developing a Hybrid Intrusion Detection System Using Data Mining for Power Systems

Abstract: Synchrophasor systems provide an immense volume of data for wide area monitoring and control of power systems to meet the increasing demand of reliable energy The construction of traditional intrusion detection systems (IDSs) that use manually created rules based upon expert knowledge is knowledge-intensive and is not suitable in the context of this big data problem This paper presents a systematic and automated approach to build a hybrid IDS that learns temporal state-based specifications for power system scenarios including disturbances, normal control operations, and cyber-attacks A data mining technique called common path mining is used to automatically and accurately learn patterns for scenarios from a fusion of synchrophasor measurement data, and power system audit logs As a proof of concept, an IDS prototype was implemented and validated The IDS prototype accurately classifies disturbances, normal control operations, and cyber-attacks for the distance protection scheme for a two-line three-bus power transmission system

Final results from a meta-analysis of remedial interventions with drink/drive offenders.

Abstract: A meta-analysis of the efficacy of remediation with drinking/driving offenders included 215 independent evaluations identified through a comprehensive literature search. Study characteristics, including dimensions of methodological quality were coded using scales and protocols developed by expert panels. Better methodological quality (as indicated by group equivalence) was associated with smaller effect size and less variation in effect size. Among studies with adequate methods (as determined empirically through examination of effect size variation with quality), the average effect of remediation on drinking/driving recidivism was an 8-9% reduction over no remediation. A similar effect size was found for alcohol involved crashes. However, licensing actions tended to be associated with reduction in occurrence of non-alcohol events (e.g. non-alcohol crashes). Exploratory regression analysis and confirmatory within study analysis suggested that combinations of modalities--in particular those including education, psychotherapy/counseling and follow-up contact/probation--were more effective than other evaluated modes for reducing drinking/driving recidivism. Treatment effects are probably underestimated in the literature due to overemphasis on education as a treatment for all offenders and drinking/driving recidivism as the most frequent measure of outcome. Limitations of the primary literature and future research needs are discussed. Language: en