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In Wireless Mobile Networks (WMN), the proliferation of mobile devices and smart phones stimulates an array of personalized information services that exploits the user’s personal data for processing. So, it is very significant to preserve the data privacy and protect the integrity of data of mobile users. However, as the WMN devices are heterogeneous and highly independent, it is challenging to achieve privacy protection and efficient authentication in better levels. With those concerns, this paper illustrates a new model called Enhanced Privacy PreservingAnonymity Authentication (EPPAA) for protecting the user’s personal information. Further, the model incorporates the effectiveness of Quantumbehaved Particle Swarm Optimization (QPSO) for selecting the node at middle of neighbours that are closer to the Serving Base Station (seBS). The ticket based anonymity authentication has been employed and the algorithm has been designed and implemented predominantly. For providing confidentiality over the communication, the query message is encrypted, by that way; the anonymous users could not claim the private data of the mobile users. Moreover, the proposed model is implemented and evaluated using the NS2 simulator. The experimentation has been analyzed with the parameters such communication overhead, authentication delay, success ratio, packet delay and compared with some existing privacy preserving models such as Kerberos based Authentication for Inter-domain Roaming (KAIR), Privacy Preserving Nearest Neighbor Queries(PPNNQ) and Efficient Mobile Authentication Scheme (EMAS). The results of the proposed EPPAA show that the model outperforms the traditional methodologies and provides better authentication and security to the user information on WMN.

EPPAA- Enhanced Privacy Preserving - Anonymity Authentication Model with QPSO for Wireless Mobile Networks