Quadratic Poly Certificateless Inductive Signcryption for Network Security

Alagarsamy, Sumithra

doi:10.1007/s11036-019-01496-0

Cited by 1 publication

(1 citation statement)

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“…Figure 9 shows that the proposed method has less computational overhead than the existing cryptography method, heterogeneous signcryption. 34 The proposed method has a generation of keys between the nodes without any pairwise node interaction; all the network nodes know the sensor node's public identity, PKG for distributing the secret key among the sensor nodes, PKG-key freshness-generating new keys based on the expiration time of the recipient's private key, IBC's key escrow property. Therefore the proposed method has less computational and memory overhead.…”

Section: F I G U R E 9 Computational Overhead Versus Sensor Nodesmentioning

confidence: 99%

Secure multicasting in wireless sensor networks using identity based cryptography

Sampradeepraj

Devi

Raja

2022

Concurrency and Computation

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Security in wireless sensor networks (WSNs) is challenging, owing to resource, computing, and environmental constraints. Researchers have proposed several security systems for multicasting in WSNs, but none have offered foolproof security. To make high-security multicasting a reality, the proposed I-RLNMCDS-ODMRP protocol uses state-of-the-art techniques such as identity-based cryptography, random linear network coding, the minimum connected dominating set, and the on-demand multicast routing protocol. Also, this article analyzes computation and memory overhead in the proposed protocol in terms of time in seconds and bytes, respectively, and examines its security properties. In the experimental results, the proposed protocol does not take much time to compute encryption and decryption parameters. Further, it requires little memory to store multicast message information. In the future, the proposed protocol will be tested on healthcare applications for intrabody communication through wireless body area networks.

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Section: F I G U R E 9 Computational Overhead Versus Sensor Nodesmentioning

confidence: 99%