{"title":"Secured packet inspection with hierarchical pattern matching implemented using incremental clustering algorithm","authors":"P. Sethi, P. Behera","doi":"10.1109/ICHPCA.2014.7045309","DOIUrl":null,"url":null,"abstract":"In the present scenario, most of the computing operations are performed over the Internet. Many companies provide their services using Internet, so networking services becomes more important these days. Hence, there is high demand for secured management of information, along with faster processing of operations. Due to increased demand for network services, there is a need to increase the performance of these services. The gradual increase in the amount of important information increases the packet payloads. EHMA is a faster searching algorithm that reduces the searching time significantly. In the original paper [1], EHMA is implemented in two tiers, but this paper considers the implementation of EHMA in three tiers. It follows incremental clustering algorithm for grouping clusters according to their impact factors. This three tier implementation of EHMA improves the security of the information as it uses SHA-256 for security.","PeriodicalId":197528,"journal":{"name":"2014 International Conference on High Performance Computing and Applications (ICHPCA)","volume":"2 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"5","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2014 International Conference on High Performance Computing and Applications (ICHPCA)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICHPCA.2014.7045309","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 5
Abstract
In the present scenario, most of the computing operations are performed over the Internet. Many companies provide their services using Internet, so networking services becomes more important these days. Hence, there is high demand for secured management of information, along with faster processing of operations. Due to increased demand for network services, there is a need to increase the performance of these services. The gradual increase in the amount of important information increases the packet payloads. EHMA is a faster searching algorithm that reduces the searching time significantly. In the original paper [1], EHMA is implemented in two tiers, but this paper considers the implementation of EHMA in three tiers. It follows incremental clustering algorithm for grouping clusters according to their impact factors. This three tier implementation of EHMA improves the security of the information as it uses SHA-256 for security.