Matches in SemOpenAlex for { <https://semopenalex.org/work/W4385451264> ?p ?o ?g. }
Showing items 1 to 73 of
73
with 100 items per page.
- W4385451264 abstract "The initial implementation of an anomaly detection model was for one-dimensional data collecting, and it was based on statistical models. When the data’s probability distribution is utilized to build a statistical normal model, and that model is then used to evaluate the data, the models meet the fundamental criteria of representing the reference model. As a subset of intrusion detection, anomaly detection involves keeping tabs on a system’s activity and then labelling it as either “normal” or “anomalous,” depending on whether or not it conforms to predetermined norms. Classifiers that employ thresholds to determine what constitutes abnormal behavior have proven effective. Threshold-based classification is a pruning strategy for reducing the size of a decision tree (DT) to minimize the classifier complexity and boost its predictive performance. In this study, Particle Swarm Optimization (PSO) is applied t o address the issues of network intrusion detection in an effort to prune a Threshold-based categorization. The suggested method is a hybrid strategy that employs PSO for nodes pruning and the Threshold method for classifying network intrusions. In the perspective of network intrusion detection, this dataset has been frequently utilised as a reference standard. In comparison to other existing classifiers, our proposed method achieve well with intrusion detection rate, cache hit rate, cache miss rate and Data Delivery Rate." @default.
- W4385451264 created "2023-08-02" @default.
- W4385451264 creator A5012960549 @default.
- W4385451264 creator A5079502027 @default.
- W4385451264 creator A5092784718 @default.
- W4385451264 date "2023-07-06" @default.
- W4385451264 modified "2023-09-26" @default.
- W4385451264 title "Intrusion Detection System at Node Level using Swarm Optimization Algorithm" @default.
- W4385451264 cites W1581903467 @default.
- W4385451264 cites W1859314164 @default.
- W4385451264 cites W2741671586 @default.
- W4385451264 cites W2936995087 @default.
- W4385451264 cites W3002193070 @default.
- W4385451264 cites W3014732532 @default.
- W4385451264 cites W3022570624 @default.
- W4385451264 cites W3082115851 @default.
- W4385451264 cites W3125078888 @default.
- W4385451264 cites W3216160615 @default.
- W4385451264 cites W4281641105 @default.
- W4385451264 doi "https://doi.org/10.1109/icesc57686.2023.10193431" @default.
- W4385451264 hasPublicationYear "2023" @default.
- W4385451264 type Work @default.
- W4385451264 citedByCount "0" @default.
- W4385451264 crossrefType "proceedings-article" @default.
- W4385451264 hasAuthorship W4385451264A5012960549 @default.
- W4385451264 hasAuthorship W4385451264A5079502027 @default.
- W4385451264 hasAuthorship W4385451264A5092784718 @default.
- W4385451264 hasConcept C108010975 @default.
- W4385451264 hasConcept C111919701 @default.
- W4385451264 hasConcept C11413529 @default.
- W4385451264 hasConcept C115537543 @default.
- W4385451264 hasConcept C124101348 @default.
- W4385451264 hasConcept C153180895 @default.
- W4385451264 hasConcept C154945302 @default.
- W4385451264 hasConcept C35525427 @default.
- W4385451264 hasConcept C41008148 @default.
- W4385451264 hasConcept C6557445 @default.
- W4385451264 hasConcept C739882 @default.
- W4385451264 hasConcept C84525736 @default.
- W4385451264 hasConcept C85617194 @default.
- W4385451264 hasConcept C86803240 @default.
- W4385451264 hasConcept C95922358 @default.
- W4385451264 hasConceptScore W4385451264C108010975 @default.
- W4385451264 hasConceptScore W4385451264C111919701 @default.
- W4385451264 hasConceptScore W4385451264C11413529 @default.
- W4385451264 hasConceptScore W4385451264C115537543 @default.
- W4385451264 hasConceptScore W4385451264C124101348 @default.
- W4385451264 hasConceptScore W4385451264C153180895 @default.
- W4385451264 hasConceptScore W4385451264C154945302 @default.
- W4385451264 hasConceptScore W4385451264C35525427 @default.
- W4385451264 hasConceptScore W4385451264C41008148 @default.
- W4385451264 hasConceptScore W4385451264C6557445 @default.
- W4385451264 hasConceptScore W4385451264C739882 @default.
- W4385451264 hasConceptScore W4385451264C84525736 @default.
- W4385451264 hasConceptScore W4385451264C85617194 @default.
- W4385451264 hasConceptScore W4385451264C86803240 @default.
- W4385451264 hasConceptScore W4385451264C95922358 @default.
- W4385451264 hasLocation W43854512641 @default.
- W4385451264 hasOpenAccess W4385451264 @default.
- W4385451264 hasPrimaryLocation W43854512641 @default.
- W4385451264 hasRelatedWork W2016647367 @default.
- W4385451264 hasRelatedWork W2141254179 @default.
- W4385451264 hasRelatedWork W2355809385 @default.
- W4385451264 hasRelatedWork W2363105058 @default.
- W4385451264 hasRelatedWork W2364419519 @default.
- W4385451264 hasRelatedWork W2541327136 @default.
- W4385451264 hasRelatedWork W2982280075 @default.
- W4385451264 hasRelatedWork W3044732725 @default.
- W4385451264 hasRelatedWork W3121110317 @default.
- W4385451264 hasRelatedWork W4235359700 @default.
- W4385451264 isParatext "false" @default.
- W4385451264 isRetracted "false" @default.
- W4385451264 workType "article" @default.