Vehicular Ad Hoc Network (VANET) is an emerging technology in which mobility management, continuous connectivity and security on data transmission between vehicles with high speed or during the change of topology of the network acts as a challenging exploration issue of Intelligent Transportation System (ITS) applications. This paper aims to formulate a ubiquitous connectivity to nodes by keeping the established connections before and after handover thereby minimizing the delay, packet loss and provide secured acknowledgement for handover. The Secured Efficient Fast Handover Multihoming Based NEMO+ (SEFMNEMO+) framework helps to optimize the NEMO+ scheme that supports multihomed network, handover and security. The predictive policy exchange method is used to update the future handover for minimizing the overhead delay and packet loss. The multihomed feature in NEMO+ supports efficient handover mechanism between heterogeneous networks when VANET connection fails. Public key cryptography provides the secure acknowledgement before handover i.e., the acknowledgement is encrypted with digital signature.

Gait is an emergent biometric aimed essentially to recognize people by the way they walk. Gait's advantages are that it requires no contact like automatic face recognition, and that it is less likely to be obscured than other biometrics. Gait has allied subjects including medical studies, psychology, human body modeling and motion tracking. These lend support to view that gait has clear potential as a biometric. To identify a person using their distinct Gait, the publicly available database is being taken in the video sequence format. By applying PCA analysis the gait points are extracted and trained. To obtain the false positive points LDA and a combined approach of LDA and Radon is used. The performance of the usage of LDA separately and LDA-Radon are being compared and the results are being produced as the graph..

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