Abstract

Provenance sharing has an important role to play in guaranteeing the trust in the network environment thathas to be shared in a secured manner. In theearlierresearches, it is guaranteeing by the introduction of the Clustering Based Centralized Provenance Forgery Detection System (CBC-PFDS). But, theseresearch works do not take the data integrity and novelty into considerationthathas gained focus in this research approach for achieving a secured and robust sharing of provenance amongst the sensor nodes with only limited resources available. In the newly introducedtechnique, Secured and Freshness Ensured Provenance Sharing Scheme (SFEPSS) is proposed with the objective of attaining a secured provenance sharing. In this, for the validation of the data integrity and novelty of provenance, this technique makes use of hybridized AES and SHA-2 that can help in secure transfer of the data. The security is improved by the Dynamic Key Generation that can lead to improving the hacking complexity. Dynamic key generation is carried out at the centralized server that is chosen from cluster heads where the fitness is computedemploying the weighted decision making algorithm that depends on Pareto optimality. The Modified firefly algorithm is proposed for the cluster head election. Pareto optimality isintegrated with firefly algorithm for improving the performance rather than moving in random direction. Fitness functions, which are taken into account for choosing the centralized server include path connectivity, Energy, Centrality. This centralized dynamic key generation facilitates re-usage of keys. The overall implementation of the newly introduced research approach is performed in the NS2 simulation environment, which can help in ensuring that the proposed research approach improves the optimal results in terms of enhanced level of security.

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