FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2740755977> ?p ?o ?g. }

• W2740755977 endingPage "156" @default.
• W2740755977 startingPage "127" @default.
• W2740755977 abstract "An intrusion detection system has become a vital mechanism to detect a wide variety of malicious activities in the cyber domain. However, this system still faces an important limitation when it comes to detecting zero-day attacks, concerning the reduction of relatively high false alarm rates. It is thus necessary to no longer consider the tasks of monitoring and analysing network data in isolation, but instead optimise their integration with decision-making methods for identifying anomalous events. This chapter presents a scalable framework for building an effective and lightweight anomaly detection system. This framework includes three modules of capturing and logging, pre-processing and a new statistical decision engine, called the Dirichlet mixture model based anomaly detection technique. The first module sniffs and collects network data while the second module analyses and filters these data to improve the performance of the decision engine. Finally, the decision engine is designed based on the Dirichlet mixture model with a lower-upper interquartile range as decision engine. The performance of this framework is evaluated on two well-known datasets, the NSL-KDD and UNSW-NB15. The empirical results showed that the statistical analysis of network data helps in choosing the best model which correctly fits the network data. Additionally, the Dirichlet mixture model based anomaly detection technique provides a higher detection rate and lower false alarm rate than other three compelling techniques. These techniques were built based on correlation and distance measures that cannot detect modern attacks which mimic normal activities, whereas the proposed technique was established using the Dirichlet mixture model and precise boundaries of interquartile range for finding small differences between legitimate and attack vectors, efficiently identifying these attacks." @default.
• W2740755977 created "2017-08-08" @default.
• W2740755977 creator A5049154886 @default.
• W2740755977 creator A5062854609 @default.
• W2740755977 creator A5089327837 @default.
• W2740755977 date "2017-01-01" @default.
• W2740755977 modified "2023-10-09" @default.
• W2740755977 title "Big Data Analytics for Intrusion Detection System: Statistical Decision-Making Using Finite Dirichlet Mixture Models" @default.
• W2740755977 cites W1489073918 @default.
• W2740755977 cites W1530215515 @default.
• W2740755977 cites W1591094652 @default.
• W2740755977 cites W1966809779 @default.
• W2740755977 cites W1967456674 @default.
• W2740755977 cites W1967883937 @default.
• W2740755977 cites W1979347584 @default.
• W2740755977 cites W1991622977 @default.
• W2740755977 cites W1993467749 @default.
• W2740755977 cites W1998496248 @default.
• W2740755977 cites W2002907052 @default.
• W2740755977 cites W2005888196 @default.
• W2740755977 cites W2005913992 @default.
• W2740755977 cites W2012447829 @default.
• W2740755977 cites W2017380649 @default.
• W2740755977 cites W2026258420 @default.
• W2740755977 cites W2026559036 @default.
• W2740755977 cites W2032620230 @default.
• W2740755977 cites W2055666368 @default.
• W2740755977 cites W2057694377 @default.
• W2740755977 cites W2078677900 @default.
• W2740755977 cites W2081402697 @default.
• W2740755977 cites W2091797506 @default.
• W2740755977 cites W2093168265 @default.
• W2740755977 cites W2097363716 @default.
• W2740755977 cites W2100200066 @default.
• W2740755977 cites W2107164534 @default.
• W2740755977 cites W2108142795 @default.
• W2740755977 cites W2112249062 @default.
• W2740755977 cites W2122646361 @default.
• W2740755977 cites W2136314867 @default.
• W2740755977 cites W2139669429 @default.
• W2740755977 cites W2147331788 @default.
• W2740755977 cites W2152594362 @default.
• W2740755977 cites W2157487910 @default.
• W2740755977 cites W2160841769 @default.
• W2740755977 cites W2162020807 @default.
• W2740755977 cites W2162275200 @default.
• W2740755977 cites W2191006491 @default.
• W2740755977 cites W2248559222 @default.
• W2740755977 cites W2278186031 @default.
• W2740755977 cites W2296509296 @default.
• W2740755977 cites W2570296101 @default.
• W2740755977 cites W2903666945 @default.
• W2740755977 cites W769973221 @default.
• W2740755977 doi "https://doi.org/10.1007/978-3-319-59439-2_5" @default.
• W2740755977 hasPublicationYear "2017" @default.
• W2740755977 type Work @default.
• W2740755977 sameAs 2740755977 @default.
• W2740755977 citedByCount "70" @default.
• W2740755977 countsByYear W27407559772018 @default.
• W2740755977 countsByYear W27407559772019 @default.
• W2740755977 countsByYear W27407559772020 @default.
• W2740755977 countsByYear W27407559772021 @default.
• W2740755977 countsByYear W27407559772022 @default.
• W2740755977 countsByYear W27407559772023 @default.
• W2740755977 crossrefType "book-chapter" @default.
• W2740755977 hasAuthorship W2740755977A5049154886 @default.
• W2740755977 hasAuthorship W2740755977A5062854609 @default.
• W2740755977 hasAuthorship W2740755977A5089327837 @default.
• W2740755977 hasConcept C124101348 @default.
• W2740755977 hasConcept C137524506 @default.
• W2740755977 hasConcept C154945302 @default.
• W2740755977 hasConcept C171686336 @default.
• W2740755977 hasConcept C35525427 @default.
• W2740755977 hasConcept C41008148 @default.
• W2740755977 hasConcept C48044578 @default.
• W2740755977 hasConcept C500882744 @default.
• W2740755977 hasConcept C739882 @default.
• W2740755977 hasConcept C75684735 @default.
• W2740755977 hasConcept C77052588 @default.
• W2740755977 hasConcept C77088390 @default.
• W2740755977 hasConceptScore W2740755977C124101348 @default.
• W2740755977 hasConceptScore W2740755977C137524506 @default.
• W2740755977 hasConceptScore W2740755977C154945302 @default.
• W2740755977 hasConceptScore W2740755977C171686336 @default.
• W2740755977 hasConceptScore W2740755977C35525427 @default.
• W2740755977 hasConceptScore W2740755977C41008148 @default.
• W2740755977 hasConceptScore W2740755977C48044578 @default.
• W2740755977 hasConceptScore W2740755977C500882744 @default.
• W2740755977 hasConceptScore W2740755977C739882 @default.
• W2740755977 hasConceptScore W2740755977C75684735 @default.
• W2740755977 hasConceptScore W2740755977C77052588 @default.
• W2740755977 hasConceptScore W2740755977C77088390 @default.
• W2740755977 hasLocation W27407559771 @default.
• W2740755977 hasOpenAccess W2740755977 @default.
• W2740755977 hasPrimaryLocation W27407559771 @default.
• W2740755977 hasRelatedWork W108872567 @default.
• W2740755977 hasRelatedWork W1516902003 @default.
• W2740755977 hasRelatedWork W2078868204 @default.

• next