Skip to content
Research Article Open access CC BY 4.0

Comparative Analysis and Development of Mobile Device Authentication Framework for Corporate Networks

Mboto Peter, Gilbert Gilibrays Ocen, Godliver Owomugisha, Alunyu Andrew Egwar, Matovu Davis, Twaibu Semwogerere, Rwahwire Samson

Asian Journal of Research in Computer Science · pp. 33–46 · Published 19 Jul 2022

10.9734/ajrcos/2022/v14i230335

Abstract

Several systematic reviews on mobile device technologies have been undertaken mostly identifying mobile security threats and challenges to corporate organisations' sensitive private information. This paper surveyed the existing level of secure authentication achieved by various mobile device-related frameworks against their listed goals. The solutions and security level of the existing authentication approaches among these categories were compared and improved on the KANYI BYOND framework by introducing a Radius server with the 802.11 authentications supported feature that provides access control to wireless routers, access points, hotspots in EAP/WPA-Enterprise/WPA2-Enterprise modes as means to achieve multiple authentications to mobile device users in corporate networks. Testing and validation of the resulting framework were done with the help of a riverbed modeler and a Denial of Service attack was simulated on all mobile devices' nodes in the designed network. The results indicated that the resulting framework provides multiple authentications and is thought to overcome self-reassuring by mobile device users on the network.

Mobile device authentication framework DOS attacks CVSS simulation

Cited by 0

No indexed citations yet.

Article metrics

Real usage data collected on this platform.

0

Page views

0

PDF downloads

0

Outbound clicks

0

Citations

Views by country

Approximate, from request IP at view time — not citizenship or institution. Countries with fewer than 5 views are grouped as "Other".

No views recorded yet.

Traffic sources

Referring site, by host.

No traffic recorded yet.

Views and downloads exclude known bots/crawlers. Citations combines this platform's own DOI-resolved index with each external source's own reported total — see Cited by above for individually listed citing works. Last refreshed 0 seconds ago.