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Cognitive Radio Anti-Jamming Scheme for Security Provisioning IoT Communications

Authors
Kim, Sungwook
Issue Date
Oct-2015
Publisher
KSII-KOR SOC INTERNET INFORMATION
Keywords
Internet of Things; Cognitive Radio; Power Resource Allocation; Blotto Game; Learning-based game model; Iterative Nash Bargaining
Citation
KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS, v.9, no.10, pp 4177 - 4190
Pages
14
Journal Title
KSII TRANSACTIONS ON INTERNET AND INFORMATION SYSTEMS
Volume
9
Number
10
Start Page
4177
End Page
4190
URI
https://scholarworks.bwise.kr/cau/handle/2019.sw.cau/64473
DOI
10.3837/tiis.2015.10.023
ISSN
1976-7277
1976-7277
Abstract
Current research on Internet of Things (IoT) has primarily addressed the means to enhancing smart resource allocation, automatic network operation, and secure service provisioning. In particular, providing satisfactory security service in IoT systems is indispensable to its mission critical applications. However, limited resources prevent full security coverage at all times. Therefore, these limited resources must be deployed intelligently by considering differences in priorities of targets that require security coverage. In this study, we have developed a new application of Cognitive Radio (CR) technology for IoT systems and provide an appropriate security solution that will enable IoT to be more affordable and applicable than it is currently. To resolve the security-related resource allocation problem, game theory is a suitable and effective tool. Based on the Blotto game model, we propose a new strategic power allocation scheme to ensure secure CR communications. A simulation shows that our proposed scheme can effectively respond to current system conditions and perform more effectively than other existing schemes in dynamically changeable IoT environments.
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