Security is often cited as one of the most contentious issues in Cloud computing. It is argued that as the Cloud is intended to handle large amounts of data, attackers can be sure of a high pay-off for their activities.. In addition, to benefit from the Economies of scale, the applications and operating systems are homogenized to a few images restricting the variations of products used within the Cloud. Millions of users are surfing the Cloud for various purposes, therefore they need highly safe and persistent services. The future of cloud, especially in expanding the range of applications, involves a much deeper degree of privacy, and authentication. We propose a simple data protection model where data is encrypted using AES and Authenticated by Diffie Hellman algorithm before it is launched in the cloud, thus ensuring data confidentiality and security.
Cloud computing visualize as the next generation computing technique for Information technology due to advantages provided by this technology. Cloud computing solutions are scalable, advanced and low cost. Its nature is distributed as cloud, it is indefensible to a large category of attacks are very frequent. Security is major challenge in cloud computing .This paper proposed the creation of FVM(forensic virtual machine ) so that each virtual machine can be used as different security issue and which security issue have high probability can be classified using Bayesian classifier .An intrusion detection system proposed for monitoring the network against malicious attack . In this paper malicious attacks divided into three major categories first FVM used for detect unauthorized access, second used for malicious nodes and third one for IDS activity.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
hi@scite.ai
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.