IReTADS: An Intelligent Real-Time Anomaly Detection System for Cloud Communications Using Temporal Data Summarization and Neural Network

Gotam Singh Lalotra,Mufti Mahmud,Thippa Reddy G,Tianhua Chen,Vinod Kumar,Abhishek Bhatt

doi:10.1155/2022/9149164

Abstract

A new distributed environment at less financial expenditure on communication over the Internet is presented by cloud computing. In recent times, the increased number of users has made network traffic monitoring a difficult task. Although traffic monitoring and security problems are rising in parallel, there is a need to develop a new system for providing security and reducing network traffic. A new method, iReTADS, is proposed to reduce the network traffic using a data summarization technique and also provide network security through an effective real-time neural network. Although data summarization plays a significant role in data mining, still no real methods are present to assist the summary evaluation. Thus, it is a serious endeavor to present four metrics for data summarization with temporal features such as conciseness, information loss, interestingness, and intelligibility. In addition, a new metric time is also introduced for effective data summarization. Finally, a new neural network known as Modified Synergetic Neural Network (MSNN) on summarized datasets for detecting the real-time anomaly-behaved nodes in network and cloud is introduced. Experimental results reveal that the iReTADS can effectively monitor traffic and detect anomalies. It may further drive studies on controlling the outbreaks and controlling pandemics while studying medical datasets, which results in smart healthy cities.

Highlights

In the last one and half decade, computer technology has significantly overpowered the conventional ways of handling the daily routines in almost every walk of life
A new secure arrangement method is presented, which is based on matrix eigenvalue. e aim of these arrangements is to generate a secret position for each user for storing data, which is called a secure arrangement [4]
We can see the different four metrics such as conciseness, information loss, interestingness, and intelligibility values when considering the different threshold values with a number of clusters considered for summarization of data

Summary

Introduction

In the last one and half decade, computer technology has significantly overpowered the conventional ways of handling the daily routines in almost every walk of life. All the daily routine activities like reading newspapers, shopping, running a business, studying, and a lot of official works have taken a shift over to the computer networks like LAN, WAN, MAN, Internet, and cloud computing. As these computer networks offer daily routine services to people across the globe, at the same time, attackers have joined the international community on the same platform, but to disturb the streamlined activities over the networks. Countering hackers and ensuring the smooth working of computer networks need the construction of a new security mechanism to provide security to the network users and their own secret stored data. The network traffic is increasing at a very rapid rate, which in turn becomes infeasible to monitor a network in real time by administrator [7]. erefore, to analyze the current scenario of the network, a summary of the network traffic is quite useful to immediately review the situation of the network

Methods

Results

Conclusion