The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Trust Profiling to Enable Adaptive Trust Negotiation in Mobile Devices
|
|
Author(s): Eugene Sanzi (University of Connecticut, USA), Steven A. Demurjian (University of Connecticut, USA), Thomas P. Agresta (University of Connecticut Health Center, USA)and Amanda Murphy (Canisius College, USA)
Copyright: 2017
Pages: 22
Source title:
Mobile Application Development, Usability, and Security
Source Author(s)/Editor(s): Sougata Mukherjea (IBM, India)
DOI: 10.4018/978-1-5225-0945-5.ch005
Purchase
|
Abstract
In order to secure mobile devices, there has been movement to trust negotiation where two entities are able to establish a measure of mutual trust, even if no prior contact between either entity has existed in the past. This chapter explores adaptive trust negotiation in a mobile environment as a means to dynamically adjust security parameters based on the level of trust established during the negotiation process thereby enhancing mobile security. To accomplish this, the chapter proposes a trust profile that contains a proof of history of successful access to sensitive data to facilitate identification and authentication for adaptive trust negotiation. The trust profile consists of a set of X.509 identity and attribute certificates, where a certificate is added whenever a user via a mobile application makes a successful attempt to request data from a server where no relationship between the user and server has previously existed as a result of trust negotiation. Our approach allows the user to collect an ever-growing amount of profile data for future adaptive trust negotiation.
Related Content
|
Tapan Kumar Behera.
© 2023.
20 pages.
|
|
B. Narendra Kumar Rao.
© 2023.
17 pages.
|
|
Blendi Rrustemi, Deti Baholli, Herolind Balaj.
© 2023.
18 pages.
|
|
Alma Beluli.
© 2023.
11 pages.
|
|
Jona Ndrecaj, Shkurte Berisha, Erita Çunaku.
© 2023.
15 pages.
|
|
Yllka Totaj.
© 2023.
12 pages.
|
|
Hla Myo Tun, Devasis Pradhan.
© 2023.
31 pages.
|
|
|