Visible to the public An Appraisal over Intrusion Detection Systems in Cloud Computing Security Attacks

TitleAn Appraisal over Intrusion Detection Systems in Cloud Computing Security Attacks
Publication TypeConference Paper
Year of Publication2020
AuthorsDevi, B. T., Shitharth, S., Jabbar, M. A.
Conference Name2020 2nd International Conference on Innovative Mechanisms for Industry Applications (ICIMIA)
Date PublishedMarch 2020
PublisherIEEE
ISBN Number978-1-7281-4167-1
Keywordsattacks, authentication, browser malware-injection attacks, browser security, cloud computing, cloud computing security attacks, common security breaches, Flooding Attacks, Honey Pot, Honey pot (computing), honey pot attack, honey pots, Human Behavior, human factors, intrusion, Intrusion detection, Intrusion Detection Systems, invasive software, Malware, procedural intrusion way, pubcrawl, resilience, Resiliency, Scalability, security, security issues, Servers, specific honey pot algorithm, Virtual machining, wrapping attacks
Abstract

Cloud computing provides so many groundbreaking advantages over native computing servers like to improve capacity and decrease costs, but meanwhile, it carries many security issues also. In this paper, we find the feasible security attacks made about cloud computing, including Wrapping, Browser Malware-Injection and Flooding attacks, and also problems caused by accountability checking. We have also analyzed the honey pot attack and its procedural intrusion way into the system. This paper on overall deals with the most common security breaches in cloud computing and finally honey pot, in particular, to analyze its intrusion way. Our major scope is to do overall security, analyze in the cloud and then to take up with a particular attack to deal with granular level. Honey pot is the one such attack that is taken into account and its intrusion policies are analyzed. The specific honey pot algorithm is in the queue as the extension of this project in the future.

URLhttps://ieeexplore.ieee.org/document/9074924/
DOI10.1109/ICIMIA48430.2020.9074924
Citation Keydevi_appraisal_2020