A secure three-factor authentication scheme for wireless sensor networks using ECC

Kumar, Devender; Singh, Harsh Kumar; Ahlawat, Chhahat

doi:10.1080/09720529.2019.1627072

Cited by 21 publications

(12 citation statements)

References 19 publications

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“…The Eqs. (17), (18) and (19) hold owing to Interpretation Rule I R1 , I R2 , I R5 and BAN Logic Assumption ⟨A⟩ 1 , ⟨A⟩ 2 and ⟨A⟩ 5 . Therefore, the proposed S-USI scheme has:…”

Section: Security Goalsmentioning

confidence: 99%

“…Therefore, the recent authentication mechanisms have constructed a strategy of control access using advanced mobile computing systems. Of late, three-party authentication and key agreement schemes have been proposed for WMSNs using a smartcard [18,19]. The design objectives of their system were to provide an effective security mechanism in WSNs.…”

Section: Introductionmentioning

confidence: 99%

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Secure-user sign-in authentication for IoT-based eHealth systems

Deebak

Al‐Turjman²

2021

Complex Intell. Syst.

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Sustainable Computing has advanced the technological evolution of the Internet and information-based communication technology. It is nowadays emerging in the form of the Cloud of Medical Things (CoMT) to develop smart healthcare systems. The academic community has lately made great strides for the development of security for the CoMT based application systems, such as e-healthcare systems, industrial automation systems, military surveillance systems, and so on. To the architecture of CoMT based Smart Environment, Chebyshev Chaotic-Map based single-user sign-in (S-USI) is found as a significant security-control mechanism. To ensure the fidelity, the S-USI assigns a unary-token to the legal users to access the various services, provided by a service provider over an IP-enabled distributed networks. Numerous authentication mechanisms have been presented for the cloud-based distributed networks. However, most of the schemes are still persuasible to security threats, such as user-anonymity, privileged-insider, mutual authentication, and replay type of attacks. This paper applies a sensor/sensor-tag based smart healthcare environment that uses S-USI to provide security and privacy. To strengthen the authentication process, a robust secure based S-USI mechanism and a well-formed coexistence protocol proof for pervasive services in the cloud are proposed. Using the formal security analysis, the prominence of the proposed strategies is proven to show the security efficiency of proposed S-USI. From the formal verification, the comparison results demonstrate that the proposed S-USI consumes less computation overhead; and thus it can be more suitable for the telecare medical information systems.

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“…The Eqs. (17), (18) and (19) hold owing to Interpretation Rule I R1 , I R2 , I R5 and BAN Logic Assumption ⟨A⟩ 1 , ⟨A⟩ 2 and ⟨A⟩ 5 . Therefore, the proposed S-USI scheme has:…”

Section: Security Goalsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Secure-user sign-in authentication for IoT-based eHealth systems

Deebak

Al‐Turjman²

2021

Complex Intell. Syst.

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“…In user registration phase of our proposed scheme, the U i sends its identity to GwN. 4 shows the communicational costs comparisons with Kumari and Renuka's scheme, 7 Kumari and Renuka's scheme, 7 Zhang et al's scheme, 13 Kumar et al's scheme, 14 Song et al's scheme, 15 and Soni et al's scheme 16 from user registration phase, sensor node registration phase, and AKA phase. To highlight our scheme's communication advantage, we summarize three phases' communication cost of each scheme for a overall comparison, which is shown in Figure 6.…”

Section: Communication Costs Comparisonmentioning

confidence: 99%

“…• The performance evaluation shows that the proposed scheme yields lower communication cost and computation cost compared with Kumari and Renuka's scheme, 7 Zhang et al's, 13 Kumar et al's scheme, 14 Song et al's scheme, 15 and Soni et al's scheme. 16 Organization of the rest article.…”

mentioning

confidence: 93%

“…Section 6 proves the proposed scheme's security under the three-factor based three-party AKA security model and analyzes resilence on various attacks. In Section 7, we compare our scheme with Kumari and Renuka's scheme, 7 Zhang et al's scheme, 13 Kumar et al's scheme, 14 Song et al's scheme, 15 and Soni et al's scheme 16 in aspects of security properties, computational costs and communication costs, demonstrating that our scheme has better performance. Section 8 gives a conclusion for this article and the future research orientation.…”

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confidence: 99%

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A biometrics‐based anonymous authentication and key agreement scheme for wireless sensor networks

Fan

Chen

et al. 2021

Concurrency and Computation

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Summary Wireless sensor networks (WSNs) are widespreadly applicable for information acquisition and processing in various fields such as military, healthcare, envrionment monitoring, and so on. WSNs have three main components: sensors, gateways, and users. The sensing information from sensors is transmitted to users through gateways. However, the public wireless networks are vulnerable to malicious active and passive attacks, which could bring security and privacy issues. Numerous two‐factor based authentication and key agreement (AKA) protocols have been proposed to solve these issues, whereas these schemes still have some deficiencies. Three‐factor based authentication method can make up for the drawbacks of two‐factor based schemes. Kumari and Renuka put forward a biometrics‐based AKA for WSNs with elliptic curve cryptography (ECC). But their scheme cannot maintain anonymity and resist to impersonality attack, replay attack, and DoS attack. In this article, we propose a biometrics‐based anonymous AKA scheme, which is equipped with the covered security requirements of WSNs. Meanwhile, the proposed scheme are provably secure in the three‐party AKA security model. Performance analysis demonstrates that our scheme has better security properties, communication cost, and computational cost compared with five recent and related schemes.

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Stochastic Security Ephemeral Generation Protocol for 5G Enabled Internet of Things

Sibahee

Nyangaresi²,

et al. 2022

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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A secure three-factor authentication scheme for wireless sensor networks using ECC

Cited by 21 publications

References 19 publications

Secure-user sign-in authentication for IoT-based eHealth systems

Secure-user sign-in authentication for IoT-based eHealth systems

A biometrics‐based anonymous authentication and key agreement scheme for wireless sensor networks

Stochastic Security Ephemeral Generation Protocol for 5G Enabled Internet of Things

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