Preventing Cloud Network from Spamming Attacks Using Cloudflare and KNN

作     者：Muhammad Nadeem Ali Arshad Saman Riaz SyedaWajiha Zahra Muhammad Rashid Shahab S.Band Amir Mosavi 

作者机构：Department of Computer ScienceAbasyn UniversityIslamabad44000Pakistan Department of Computer ScienceNational University of TechnologyIslamabad44000Pakistan Future Technology Research CenterNational Yunlin University of Science and TechnologyDouliuYunlin64002Taiwan Institute of Information SocietyUniversity of Public ServiceBudapest1083Hungary John von Neumann Faculty of InformaticsObuda UniversityBudapestHungary Institute of Information EngineeringAutomation and MathematicsSlovak University of Technology in BratislavaSlovakia 

出 版 物：《Computers, Materials & Continua》 (计算机、材料和连续体（英文）)

年 卷 期：2023年第74卷第2期

页      面：2641-2659页

核心收录：

学科分类：0839[工学-网络空间安全] 08[工学] 0812[工学-计算机科学与技术（可授工学、理学学位）] 

主　　题：Intrusion prevention system spamming KNN classification spam cyber security botnet 

摘      要：Cloud computing is one of the most attractive and cost-saving models,which provides online services to *** computing allows the user to access data directly from any *** nowadays,cloud security is one of the biggest issues that *** types of malware are wreaking havoc on the *** on the cloud server are happening from both internal and external *** paper has developed a tool to prevent the cloud server from spamming *** 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)*** will block those IP addresses that the attacker will use and prevent spamming ***,the KNN classifiers will determine which area the spammer belongs *** 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.