Authors: Shameek Bhattacharjee; Dan C. Marinescu
Addresses: Computer Science Division, Department of Electrical Engineering and Computer Science, University of Central Florida, Orlando, FL 32816, USA ' Computer Science Division, Department of Electrical Engineering and Computer Science, University of Central Florida, Orlando, FL 32816, USA
Abstract: Transferring computations for cognitive radio network (CRN) management to a computer cloud opens the possibility to implement new, possibly more accurate and powerful resource management strategies. Algorithms to discover communication channels currently in use by a primary transmitter and identify malicious nodes with high probability could be based on past history; when the trust is computed by the mobile devices this approach is not feasible because such algorithms require massive amounts of data and intensive computations. In this paper, we introduce a cloud service based on a novel trust management algorithm; this solution, applicable to infrastructure-based and to ad hoc CRNs, ensures secure and robust operation in the presence of malicious nodes. We discuss the economic benefits, scalability and robustness of the proposed service for different network configurations and parameters.
Keywords: trust management; history-based algorithms; cloud applications; mobile devices; cloud services; cloud elasticity; cognitive radio networks; CNR management; cloud computing; resource management; malicious nodes; ad hoc networks; network security.
International Journal of Cloud Computing, 2014 Vol.3 No.4, pp.326 - 353
Received: 01 Aug 2012
Accepted: 19 Mar 2013
Published online: 14 Jan 2015 *