Enhancing Cloud Service Security with Key Escrow and Certificateless Elliptic Curve Cryptography
Mukti Pathak, Kandle Navaneetha, Mayur Bhoyar, Udita Holkar, Paresh Tanna, T. Deepthi
Abstract
This section introduces a novel method for enhancing safety of mobile devices networking through application of KE-CECS algorithms within IoT environments. By conducting this research, it was evident that most IoT devices are exposed to data theft and hacking since they are not protected enough. For these problems, it proposes a segmentation encryption method based on the encrypted elliptic curves and key escrow techniques where the data is encrypted during the transportation. This work also stressed that through user identification characteristics, the KE-CECS architecture can generate both private and public keys to ensure the segmentation encryption of IoT data stored and analysed in wireless network servers. The approach comes with elliptic curve pairing ensuring efficient computation with minimal memory, and incorporates Intermediate access management methods for secure data transfer. A simulation-based comparative assessment of the computing cost, execution time, and authenticating requests has given the technique better results over TECPA and ECSPM. According to the results, KE-CECS is always more efficient than ECSPM and TECPA. The node set determines whether KE-CECS outperforms TECPA or ECSPM. In comparison to both of the methods, the suggested KE-CECS system achieves an accuracy of 95%, demonstrating its better effectiveness for mobile network systems using the IoT.