Searching for just a few words should be enough to get started. If you need to make more complex queries, use the tips below to guide you.
Issue title: Mathematical Modelling in Computational and Life Sciences
Guest editors: Ahmed Farouk
Article type: Research Article
Authors: Farsi, Mohammeda | Ali, Munwarb; * | Shah, Reehan Alic | Wagan, Asif Alid | Kharabsheh, Radwane
Affiliations: [a] College of Computer Science & Engineering at Yanbu, Taibah University, Yanbu, Saudi Arabia | [b] Department of Information Technology, Shaheed Benazir Bhutto University, Shaheed Benazirabad, Sindh, Pakistan | [c] Department of Computer Systems Engineering, Faculty of Engineering, The Islamia University Bahawalpur, Pakistan | [d] Department of Computer Science, SMIU, Karachi, Pakistan | [e] College of Administrative Sciences, Applied Science University, Bahrain
Correspondence: [*] Corresponding author. Munwar Ali, Department of Information Technology, Shaheed Benazir Bhutto University, Shaheed Benazirabad, Sindh, Pakistan. E-mail: [email protected].
Abstract: Cloud computing is considered as a new paradigm shift in distributed computing. Due to its increasing popularity, it has gotten increasing attention in the research community. In the last few years, the usage of cloud computing has increased because of its user-friendly services. However, as the number of users increases in the cloud, the service complexity and new security challenges take place. Data security is one of the major issues, which blocks users from adopting cloud. In this paper, we conducted a detailed literature review divided into two categories i.e. Single/multi-cloud data security issues and data security techniques used to secure the data in cloud virtual environment. We worked hard to find out the limitations of the existing data security solutions. This effort may help the research community to analyze single and multi-cloud in more details.
Keywords: Cloud computing, security threats, physical threats, virtual threats, security solution
DOI: 10.3233/JIFS-179539
Journal: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 3, pp. 2517-2527, 2020
IOS Press, Inc.
6751 Tepper Drive
Clifton, VA 20124
USA
Tel: +1 703 830 6300
Fax: +1 703 830 2300
[email protected]
For editorial issues, like the status of your submitted paper or proposals, write to [email protected]
IOS Press
Nieuwe Hemweg 6B
1013 BG Amsterdam
The Netherlands
Tel: +31 20 688 3355
Fax: +31 20 687 0091
[email protected]
For editorial issues, permissions, book requests, submissions and proceedings, contact the Amsterdam office [email protected]
Inspirees International (China Office)
Ciyunsi Beili 207(CapitaLand), Bld 1, 7-901
100025, Beijing
China
Free service line: 400 661 8717
Fax: +86 10 8446 7947
[email protected]
For editorial issues, like the status of your submitted paper or proposals, write to [email protected]
如果您在出版方面需要帮助或有任何建, 件至: [email protected]