Iterative Dichotomiser Posteriori Method Based Service Attack Detection in Cloud Computing  

作　　者：B.Dhiyanesh K.Karthick R.Radha Anita Venaik 

机构地区：[1]Hindusthan College of Engineering and Technology,Coimbatore,641032,India [2]Sona College of Technology,Salem,636005,India [3]Karpagam Institute of Technology,Coimbatore,641105,India [4]Amity Business School,Amity University,Noida,201301,India

出　　处：《Computer Systems Science & Engineering》2023年第2期1099-1107,共9页计算机系统科学与工程（英文）

摘　　要：Cloud computing(CC)is an advanced technology that provides access to predictive resources and data sharing.The cloud environment represents the right type regarding cloud usage model ownership,size,and rights to access.It introduces the scope and nature of cloud computing.In recent times,all processes are fed into the system for which consumer data and cache size are required.One of the most security issues in the cloud environment is Distributed Denial of Ser-vice(DDoS)attacks,responsible for cloud server overloading.This proposed sys-tem ID3(Iterative Dichotomiser 3)Maximum Multifactor Dimensionality Posteriori Method(ID3-MMDP)is used to overcome the drawback and a rela-tively simple way to execute and for the detection of(DDoS)attack.First,the pro-posed ID3-MMDP method calls for the resources of the cloud platform and then implements the attack detection technology based on information entropy to detect DDoS attacks.Since because the entropy value can show the discrete or aggregated characteristics of the current data set,it can be used for the detection of abnormal dataflow,User-uploaded data,ID3-MMDP system checks and read risk measurement and processing,bug ratingfile size changes,orfile name changes and changes in the format design of the data size entropy value.Unique properties can be used whenever the program approaches any data error to detect abnormal data services.Finally,the experiment also verifies the DDoS attack detection capability algorithm.

关 键 词：ID3(Iterative dichotomiser 3)maximum multifactor dimensionality posterior method(ID3-MMDP) distributed denial of service(DDoS)attacks detection of abnormal dataflow SK measurement and processing bug ratingfile size 

分 类 号：TP393.08[自动化与计算机技术—计算机应用技术]