Objectives: Cloud computing technology is in continuous development, and with numerous challenges regarding security. In this context, one of the main concerns for cloud computing is represented by the trustworthiness of cloud services in the Pakistan Information Technology (IT) industry. This problem requires prompt resolution because IT organizations in Pakistan adopting cloud services would be exposed to increased expenditures while at a higher risk. A survey conducted by International Data Corporation (IDC) in August 2008 confirms that security is the major barrier for cloud users in Pakistan. Material/methods: We have proposed the mathematical-based model for an estimate of our user's requirements regarding our resource investment based on queuing theory to overcome these security issues in cloud technology. We are adopting a system and real-world analysis using data set experiments. Result: In this article, we proposed a solution to overcome the Distributed Denial of Service (DDoS) attacks in a cloud computing environment in the Pakistan IT services; because along with discussed above phenomena, we also used DST and FTA (Fault Tree Analysis) for mentioned attacks. Conclusion: Our proposed solution based on Dempsters combination rule is to analyzed mixture proof of different types of cloud attacks in IT industries in Pakistan.
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.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.