An Enhanced Symmetric Cryptosystem and Biometric-Based Anonymous User Authentication and Session Key Establishment Scheme for WSN

Alotaibi, Majid

doi:10.1109/access.2018.2880225

Cited by 48 publications

(30 citation statements)

References 50 publications

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“…Very recently, González et al 47 developed a key management and authentication scheme for heterogeneous WSN which was provably secure, flexible and competent. Further, Moghadam et al 48 identified the security pitfalls like a violation of perfect forward secrecy and stolen verifier attack in Alotaibi et al 49 authentication scheme for WSN and accordingly proposed an ECDH-based authentication scheme for WSN communication which was proved secure using SCYTHER simulation tool.…”

Section: Literature Reviewmentioning

confidence: 99%

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An improved privacy preserving remote user authentication scheme for agricultural wireless sensor network

Rangwani

Sadhukhan

Ray

et al. 2021

Trans Emerging Tel Tech

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Agriculture is a fundamental pillar of society, bearing a crucial role in shaping the economy of the country and provides huge financial prospects and the possibility of employment to the large mass of the country. Thus, the incorporation of modern technology would lead to amplification in productivity and economic escalation. In this perspective, Wireless Sensor Network (WSN) can provide a greater service by sensing, monitoring and supplying continuous information about climatic conditions like temperature, light, soil moisture, humidity, and so on. These parameters help in increment of productivity in terms of quantity and quality growth in agriculture. However, WSN brings security threats like masquerading, alteration, interference, interception, and so on, that harmfully affect crop production and other agricultural practices. Thus, privacy preservation and security enhancement for agricultural WSN are the major challenges to be conquered. To meet this purpose, a privacy-preserving efficient and secure remote user authentication scheme is introduced in this research work for the application of agricultural WSN. The proposed scheme is formally evaluated using probabilistic Random-Oracle-Model (ROR) for proving the robustness of the scheme. Further, the scheme is simulated using a well-accepted AVISPA tool to show the security strength of it. The performance analysis of our scheme shows that along with its robustness in terms of security, the proposed scheme is more efficient in terms of computation and communication overheads in contrast to other existing schemes. These aforesaid features make the proposed scheme implementable in a practical environment.

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Section: Literature Reviewmentioning

confidence: 99%

“…46 Above mentioned ECDLP and ECDDHP both are a computationally infeasible problem that means these problems cannot be solved within polynomial time t where q is a 160-bit prime number. 49…”

Section: • Send ( ∏ T 1 and Msg)mentioning

confidence: 99%

An improved privacy preserving remote user authentication scheme for agricultural wireless sensor network

Rangwani

Sadhukhan

Ray

et al. 2021

Trans Emerging Tel Tech

View full text Add to dashboard Cite

show abstract

“…The authors of [ 126 ] proposed a novel mutual authentication and key management for WSN systems based on biometric and symmetric crypto-system. They compared their scheme with the schemes provided in the literature regarding computation and communication cost and security threats using both BAN-logic and AVISPA [ 127 ] tools.…”

Section: Analysis Of Iot Authentication Schemesmentioning

confidence: 99%

A Survey of Internet of Things (IoT) Authentication Schemes

El-Hajj

Fadlallah

Chamoun

et al. 2019

Sensors

316

151

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The Internet of Things (IoT) is the ability to provide everyday devices with a way of identification and another way for communication with each other. The spectrum of IoT application domains is very large including smart homes, smart cities, wearables, e-health, etc. Consequently, tens and even hundreds of billions of devices will be connected. Such devices will have smart capabilities to collect, analyze and even make decisions without any human interaction. Security is a supreme requirement in such circumstances, and in particular authentication is of high interest given the damage that could happen from a malicious unauthenticated device in an IoT system. This paper gives a near complete and up-to-date view of the IoT authentication field. It provides a summary of a large range of authentication protocols proposed in the literature. Using a multi-criteria classification previously introduced in our work, it compares and evaluates the proposed authentication protocols, showing their strengths and weaknesses, which constitutes a fundamental first step for researchers and developers addressing this domain.

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“…The main disadvantage of this scheme is that it did not consider the challenge-response pair (CRP) server comments when an existing group is empty. New mutual authentication and key management for WSN systems based on a biometric and symmetric cryptographic system in presented in [ 84 ]. The authors used BAN logic for the exactness of the mutual authentication and AVISPA tools to validate computational and communication costs.…”

Section: Taxonomy Of Ml-based Aa For Iotmentioning

confidence: 99%

Machine Learning for Authentication and Authorization in IoT: Taxonomy, Challenges and Future Research Direction

Ahmed

Tahir

Habaebi

et al. 2021

Sensors

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With the ongoing efforts for widespread Internet of Things (IoT) adoption, one of the key factors hindering the wide acceptance of IoT is security. Securing IoT networks such as the electric power grid or water supply systems has emerged as a major national and global priority. To address the security issue of IoT, several studies are being carried out that involve the use of, but are not limited to, blockchain, artificial intelligence, and edge/fog computing. Authentication and authorization are crucial aspects of the CIA triad to protect the network from malicious parties. However, existing authorization and authentication schemes are not sufficient for handling security, due to the scale of the IoT networks and the resource-constrained nature of devices. In order to overcome challenges due to various constraints of IoT networks, there is a significant interest in using machine learning techniques to assist in the authentication and authorization process for IoT. In this paper, recent advances in authentication and authorization techniques for IoT networks are reviewed. Based on the review, we present a taxonomy of authentication and authorization schemes in IoT focusing on machine learning-based schemes. Using the presented taxonomy, a thorough analysis is provided of the authentication and authorization (AA) security threats and challenges for IoT. Furthermore, various criteria to achieve a high degree of AA resiliency in IoT implementations to enhance IoT security are evaluated. Lastly, a detailed discussion on open issues, challenges, and future research directions is presented for enabling secure communication among IoT nodes.

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An Enhanced Symmetric Cryptosystem and Biometric-Based Anonymous User Authentication and Session Key Establishment Scheme for WSN

Cited by 48 publications

References 50 publications

An improved privacy preserving remote user authentication scheme for agricultural wireless sensor network

An improved privacy preserving remote user authentication scheme for agricultural wireless sensor network

A Survey of Internet of Things (IoT) Authentication Schemes

Machine Learning for Authentication and Authorization in IoT: Taxonomy, Challenges and Future Research Direction

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