A Hybrid Encryption Protocol Based on AES and RSA for Implementation in Cognitive Radio Networks
| Author(s) | : | B. Alekhya, Mrs.Y.UmaMaheswari |
| Institution | : | - |
| Published In | : | Vol. 5, Issue 1 — January 2018 |
| Page No. | : | 317-323 |
| Domain | : | Engineering |
| Type | : | Research Paper |
| ISSN (Online) | : | 2348-4470 |
| ISSN (Print) | : | 2348-6406 |
Cognitive radio networks are intelligent networks that can sense the environment and adapt thecommunication parameters accordingly. These networks find their applications in co-existence of different wirelessnetworks, interference mitigation, and dynamic spectrum access. Unlike traditional wireless networks, cognitive radionetworks additionally have their own set of unique security threats and challenges, suchasselfish misbehaviors, selfcoexistence, license user emulation and attacks on spectrum managers; accordingly the security protocols developed forthese networks must have abilities to counter these attacks. This paper presents a novel cognitive authenticationprotocol, called CoG-Auth, aimed to provide security in cognitive radio networks against threats to self-co-existence.CoG-Authdoes not require presence of any resource enriched base stations or centralized certification authorities, thusenabling it to be applicable to both infrastructure and ad hoc cognitive radio networks. The CoG-Authdesign employskey hierarchy; such as temporary keys, partial keys and session keys to fulfill the fundamental requirements of security.In this authentication we are going to implement a hybrid encryption algorithm using AES and RSA. By implementingthis hybrid algorithm for CoG- Authwe are going to achieve lesscomputational intensive, high performance, more secureand successful authentication and transmissionrate.
B. Alekhya, Mrs.Y.UmaMaheswari, “A Hybrid Encryption Protocol Based on AES and RSA for Implementation in Cognitive Radio Networks”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 5, Issue 1, pp. 317-323, January 2018.








