Robust access control framework for mobile cloud computing network

Li, F., Rahulamathavan, Y., Conti, M. & Rajarajan, M. (2015). Robust access control framework for mobile cloud computing network. Computer Communications, 68(Sept), pp. 61-72. doi: 10.1016/j.comcom.2015.07.005

[img]
Preview
Text - Accepted Version
Available under License : See the attached licence file.

Download (318kB) | Preview
[img]
Preview
Text (Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International Licence) - Other
Download (201kB) | Preview

Abstract

Unified communications has enabled seamless data sharing between multiple devices running on various platforms. Traditionally, organizations use local servers to store data and employees access the data using desktops with predefined security policies. In the era of unified communications, employees exploit the advantages of smart devices and 4G wireless technology to access the data from anywhere and anytime. Security protocols such as access control designed for traditional setup are not sufficient when integrating mobile devices with organization’s internal network. Within this context, we exploit the features of smart devices to enhance the security of the traditional access control technique. Dynamic attributes in smart devices such as unlock failures, application usage, location and proximity of devices can be used to determine the risk level of an end-user. In this paper, we seamlessly incorporate the dynamic attributes to the conventional access control scheme. Inclusion of dynamic attributes provides an additional layer of security to the conventional access control. We demonstrate that the efficiency of the proposed algorithm is comparable to the efficiency of the conventional schemes.

Item Type: Article
Additional Information: © 2015 Elsevier. Licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International http://creativecommons.org/licenses/by-nc-nd/4.0/
Uncontrolled Keywords: Access control; Smart devices; Attributes; Encryption; Cloud computing
Subjects: H Social Sciences > HA Statistics
Divisions: Cass Business School
URI: http://openaccess.city.ac.uk/id/eprint/13060

Actions (login required)

View Item View Item

Downloads

Downloads per month over past year

View more statistics