{"title":"一种高效的云计算DDos攻击检测方法","authors":"Asma Harbi Alashjaee, Dr Randa Ahmed Jabeur","doi":"10.30534/ijatcse/2022/011162022","DOIUrl":null,"url":null,"abstract":"Asma Harbi Alashjaee et al., International Journal of Advanced Trends in Computer Science and Engineering, 11(6), November - December 2022, 218 - 226 218 ABSTRACT Electronic networks and cloud servers face many security problems since they are vulnerable to DDOS attacks. As cloud servers are exposed to attacks similar to legitimate requests on servers, it turns out that they are healthy, but they carry an attack on the data on the servers. DDOS attacks not only affect networks, but also the data carried by servers. In this paper, we proposed a new scheme to discover DDOS attacks. By using a Principal Component Analysis (PCA) scheme for network state analysis on traffic packet data, we divide and segment the network for reducing the overall computation. Comparing the results to the sample entropy, we were able to detect DDOS attacks more accurately.","PeriodicalId":129636,"journal":{"name":"International Journal of Advanced Trends in Computer Science and Engineering","volume":"44 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-09","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Efficient Method to Detect DDos Attack in Cloud Computing\",\"authors\":\"Asma Harbi Alashjaee, Dr Randa Ahmed Jabeur\",\"doi\":\"10.30534/ijatcse/2022/011162022\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Asma Harbi Alashjaee et al., International Journal of Advanced Trends in Computer Science and Engineering, 11(6), November - December 2022, 218 - 226 218 ABSTRACT Electronic networks and cloud servers face many security problems since they are vulnerable to DDOS attacks. As cloud servers are exposed to attacks similar to legitimate requests on servers, it turns out that they are healthy, but they carry an attack on the data on the servers. DDOS attacks not only affect networks, but also the data carried by servers. In this paper, we proposed a new scheme to discover DDOS attacks. By using a Principal Component Analysis (PCA) scheme for network state analysis on traffic packet data, we divide and segment the network for reducing the overall computation. Comparing the results to the sample entropy, we were able to detect DDOS attacks more accurately.\",\"PeriodicalId\":129636,\"journal\":{\"name\":\"International Journal of Advanced Trends in Computer Science and Engineering\",\"volume\":\"44 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-12-09\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"International Journal of Advanced Trends in Computer Science and Engineering\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.30534/ijatcse/2022/011162022\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"International Journal of Advanced Trends in Computer Science and Engineering","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.30534/ijatcse/2022/011162022","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Efficient Method to Detect DDos Attack in Cloud Computing
Asma Harbi Alashjaee et al., International Journal of Advanced Trends in Computer Science and Engineering, 11(6), November - December 2022, 218 - 226 218 ABSTRACT Electronic networks and cloud servers face many security problems since they are vulnerable to DDOS attacks. As cloud servers are exposed to attacks similar to legitimate requests on servers, it turns out that they are healthy, but they carry an attack on the data on the servers. DDOS attacks not only affect networks, but also the data carried by servers. In this paper, we proposed a new scheme to discover DDOS attacks. By using a Principal Component Analysis (PCA) scheme for network state analysis on traffic packet data, we divide and segment the network for reducing the overall computation. Comparing the results to the sample entropy, we were able to detect DDOS attacks more accurately.