Literature DB >> 33573308

WSN-SLAP: Secure and Lightweight Mutual Authentication Protocol for Wireless Sensor Networks.

Deok Kyu Kwon1, Sung Jin Yu1, Joon Young Lee1, Seung Hwan Son1, Young Ho Park1,2.   

Abstract

Wireless sensor networks (WSN) are widely used to provide users with convenient services such as health-care, and smart home. To provide convenient services, sensor nodes in WSN environments collect and send the sensing data to the gateway. However, it can suffer from serious security issues because susceptible messages are exchanged through an insecure channel. Therefore, secure authentication protocols are necessary to prevent security flaws in WSN. In 2020, Moghadam et al. suggested an efficient authentication and key agreement scheme in WSN. Unfortunately, we discover that Moghadam et al.'s scheme cannot prevent insider and session-specific random number leakage attacks. We also prove that Moghadam et al.'s scheme does not ensure perfect forward secrecy. To prevent security vulnerabilities of Moghadam et al.'s scheme, we propose a secure and lightweight mutual authentication protocol for WSNs (WSN-SLAP). WSN-SLAP has the resistance from various security drawbacks, and provides perfect forward secrecy and mutual authentication. We prove the security of WSN-SLAP by using Burrows-Abadi-Needham (BAN) logic, Real-or-Random (ROR) model, and Automated Verification of Internet Security Protocols and Applications (AVISPA) simulation. In addition, we evaluate the performance of WSN-SLAP compared with existing related protocols. We demonstrate that WSN-SLAP is more secure and suitable than previous protocols for WSN environments.

Entities:  

Keywords:  AVISPA; BAN logic; ROR model; mutual authentication; wireless sensor networks

Year:  2021        PMID: 33573308      PMCID: PMC7866822          DOI: 10.3390/s21030936

Source DB:  PubMed          Journal:  Sensors (Basel)        ISSN: 1424-8220            Impact factor:   3.576


  2 in total

1.  Research on Intelligent Warehousing and Logistics Management System of Electronic Market Based on Machine Learning.

Authors:  Ruifeng Zhang; Xiaoyan Zhou; Yanfeng Jin; Jing Li
Journal:  Comput Intell Neurosci       Date:  2022-03-17

2.  WSNEAP: An Efficient Authentication Protocol for IIoT-Oriented Wireless Sensor Networks.

Authors:  Fumin Yi; Lei Zhang; Lijuan Xu; Shumian Yang; Yanrong Lu; Dawei Zhao
Journal:  Sensors (Basel)       Date:  2022-09-29       Impact factor: 3.847

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.