Amazing technological breakthrough possible @S-Logix

Office Address

  • #5, First Floor, 4th Street Dr. Subbarayan Nagar Kodambakkam, Chennai-600 024 Landmark : Samiyar Madam
  • +91- 81240 01111

Social List

AKAIoTs: authenticated key agreement for Internet of Things - 2018

Research Area:  Internet of Things


WSNs are one of the important components in the Internet of Things (IoTs), since they enable gathering and transmitting of data to the cloud server via the Internet medium. Designing an efficient secure cryptography scheme for the IoTs is a challenging task, since sensor node is a resource-constrained device. In this paper, an authentication key agreement scheme is proposed to build a secure channel between WSNs and a cloud server in the IoTs. The proposed scheme has two properties: (1) it has a lightweight computation, and (2) it provides various security properties of key agreement. In addition, it is proven to be secure under computation Diffe–Hellman assumption in the random oracle model. AKAIoTs is implemented using Contiki OS and use Z1 emulator to evaluate time overhead and memory usage.Three different curves;BN-P158,SECG-P160 and NIST-P192 are used.The implementation results verify that, the proposed scheme is computationally efficient and memory usage between 51 and 52% from total memory of ROM, and between 59 and 62% from total memory of RAM for three different security levels. As a result, curve SECG-P160 might be a good choice to supply security for the IoTs devices, since it consumes reasonable time which result in less power consumption than curve NIST-P192 and more secure than curve BN-P158. Compared with existing relevant schemes, the proposed AKAIoTs is efficient in terms of energy consumption. Moreover, two application scenarios are given to show how the proposed scheme can be applied in the IoTs applications.

Author(s) Name:  Mutaz Elradi S. Saeed,Qun-Ying Liu,GuiYun Tian,Fagen Li

Journal name:  Wireless Networks

Conferrence name:  

Publisher name:  Springer

DOI:  10.1007/s11276-018-1704-5

Volume Information:  volume 25, pages 3081–3101 (2019)