Application Isssues of the Semi-Markov Reliability Model

Semi-Markov processes: application in system reliability and maintenance

The author’s monograph “Semi-Markov Processes: Application in System Reliability and Maintenance” which will be published by Elsevier in 2014 is presented. The paper is composed of an introduction, the monograph contents, conclusions and the references the monograph contents is based on.

Fuzzy Reliability Measures of Fuzzy Probabilistic Semi-Markov Model

Software systems are becoming increasingly more complex and testing it to a reliable system requires a great deal of effort. Stochastically testing promises a solution to this increased testing burden and gives the opportunity to analyze reliability, mean time to failure etc. Today there is hundreds of reliability models with more models developed every year. Still, there exist no models that c...

A Compound Dependability Measure Arising from Semi-markov Reliability Model

A compound dependability measure is proposed and analyzed under the Markovian assumption by Csenki (1996). We ext,end his analysis to the semi-Markov setting and obtain the corresponding closed form expression. The analysis is quite simple and transform-free. The resulting formula has a clear probabilistic interpretation. As a numerical example, we explore the behavior of a multi-mode system wi...

Hidden Semi-markov Model for Detecting Application Layer Ddos Attacks

Distributed denials of Service attacks (DDoS) have become one of the major threat on the internet. Most defence methods are focused on detecting DDoS attack on IP & TCP layer instead of application layer. With profiling of web browsing behaviour, the sequence order of web page request can be used for detecting Application layer DDoS (App_DDoS) attacks. Based on Hidden semi-Markov model (HsMM) ,...

The KTH Visit in Semi-Markov Processes