期刊文献+
共找到1篇文章
< 1 >
每页显示 20 50 100
Preventing Cloud Network from Spamming Attacks Using Cloudflare and KNN
1
作者 Muhammad Nadeem Ali Arshad +4 位作者 Saman Riaz syedawajiha zahra Muhammad Rashid Shahab S.Band Amir Mosavi 《Computers, Materials & Continua》 SCIE EI 2023年第2期2641-2659,共19页
Cloud computing is one of the most attractive and cost-saving models,which provides online services to end-users.Cloud computing allows the user to access data directly from any node.But nowadays,cloud security is one... Cloud computing is one of the most attractive and cost-saving models,which provides online services to end-users.Cloud computing allows the user to access data directly from any node.But nowadays,cloud security is one of the biggest issues that arise.Different types of malware are wreaking havoc on the clouds.Attacks on the cloud server are happening from both internal and external sides.This paper has developed a tool to prevent the cloud server from spamming attacks.When an attacker attempts to use different spamming techniques on a cloud server,the attacker will be intercepted through two effective techniques:Cloudflare and K-nearest neighbors(KNN)classification.Cloudflare will block those IP addresses that the attacker will use and prevent spamming attacks.However,the KNN classifiers will determine which area the spammer belongs to.At the end of the article,various prevention techniques for securing cloud servers will be discussed,a comparison will be made with different papers,a conclusion will be drawn based on different results. 展开更多
关键词 Intrusion prevention system SPAMMING KNN classification SPAM cyber security BOTNET
下载PDF
上一页 1 下一页 到第
使用帮助 返回顶部