A NOVEL COGNITIVE RADIO AUTHENTICATION PROTOCOL USING HYBRID ENCRYPTION ALGORITHM BASED ON AES&RSA
| Author(s) | : | Santhi. Manikonda, Mr. K. Naresh |
| Institution | : | Nova college of engineering & technology |
| Published In | : | Vol. 5, Issue 5 — May 2018 |
| Page No. | : | 683-688 |
| 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, such as selfish 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-Auth design 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 less computational intensive, high performance, moresecure and successful authentication and transmission rate.
Santhi. Manikonda, Mr. K. Naresh, “A NOVEL COGNITIVE RADIO AUTHENTICATION PROTOCOL USING HYBRID ENCRYPTION ALGORITHM BASED ON AES&RSA”, International Journal of Advance Engineering and Research Development (IJAERD), Vol. 5, Issue 5, pp. 683-688, May 2018.








