Anonymous authentication key agreement scheme with pairing-based cryptography for home-based multi-sensor Internet of Things

Yu, Bo; Li, Hongtu

doi:10.1177/1550147719879379

Cited by 32 publications

(28 citation statements)

References 18 publications

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“…Wazid et al [20] suggested a lightweight remote user authentication scheme for the smart home environment which fulfills the design criteria for the smart home environment. Yu and Li [21] proposed another user authentication scheme for the smart home environment. However, their protocol did not necessitate a secure environment for user and device registration.…”

Section: Related Workmentioning

confidence: 99%

“…In this section, we benchmark the proposed scheme against the schemes proposed by Shuai et al [7], Yu and Li [21], Naoui et al…”

Section: Comparative Studymentioning

confidence: 99%

“…From this table, we observe that the proposed scheme requires less communication overhead as compared to that for the schemes of Shuai et al [7] and second lowest among all other schemes. [7] (108 + 84 + 36 + 68) = 296 4 Yu and Li [21] (84 + 124 + 164 + 164)×2 = 1072 8 Naoui et al [22] (104 + 52 + 56 ) = 212 3 Fakroon et al [23] (100 + 52 + 52 +84) = 288 4 Dey and Hossain [24] (132 + 132 + 52 + 52 + 52) = 420 5 Proposed scheme (68 + 40 +56 +72) = 236 4…”

Section: Communication Costs Comparisonmentioning

confidence: 99%

“…Shuai et al [7] Yu and Li [21] Naoui et al [22] Fakroon et al [23] Dey and Hossain [24] NA NA NA Proposed Note: : The scheme is resilient against an attack or it supports a feature; : The scheme is not secure against an attack or it does not support a feature; : Discussed in text. V 1 : "user anonymity", V 2 : "sensor node anonymity", V 3 : "untraceability", V 4 : "resilience against replay attack", V 5 : "resilience against man-in-the-middle attack", V 6 : "resilience against ESL attack under the CK-adversary model", V 7 : "resist off-line password guessing attack", V 8 : "resist smart card impersonation attack", V 9 : "resist parallel session attack", V 10 : "resist password change attack", V 11 : "support three-factor authentication".…”

Section: Security and Functionality Features Comparisonmentioning

confidence: 99%

“…The security analysis and performance comparison show that the proposed scheme can provide better security and more functionality features at low communication and computation overheads, when compared these with other recent existing schemes. In our future work, we plan to investigate the possibility of extending the proposed scheme to support remote registration as it is designed in the scheme proposed by Yu and Li [21] at a more acceptable communication and computation overheads.…”

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confidence: 99%

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An Efficient, Anonymous and Robust Authentication Scheme for Smart Home Environments

Banerjee

Odelu

Das

et al. 2020

Sensors

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In recent years, the Internet of Things (IoT) has exploded in popularity. The smart home, as an important facet of IoT, has gained its focus for smart intelligent systems. As users communicate with smart devices over an insecure communication medium, the sensitive information exchanged among them becomes vulnerable to an adversary. Thus, there is a great thrust in developing an anonymous authentication scheme to provide secure communication for smart home environments. Most recently, an anonymous authentication scheme for smart home environments with provable security has been proposed in the literature. In this paper, we analyze the recent scheme to highlight its several vulnerabilities. We then address the security drawbacks and present a more secure and robust authentication scheme that overcomes the drawbacks found in the analyzed scheme, while incorporating its advantages too. Finally, through a detailed comparative study, we demonstrate that the proposed scheme provides significantly better security and more functionality features with comparable communication and computational overheads with similar schemes.

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Section: Related Workmentioning

confidence: 99%

“…In this section, we benchmark the proposed scheme against the schemes proposed by Shuai et al [7], Yu and Li [21], Naoui et al…”

Section: Comparative Studymentioning

confidence: 99%

Section: Communication Costs Comparisonmentioning

confidence: 99%

Section: Security and Functionality Features Comparisonmentioning

confidence: 99%

mentioning

confidence: 99%

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An Efficient, Anonymous and Robust Authentication Scheme for Smart Home Environments

Banerjee

Odelu

Das

et al. 2020

Sensors

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The Principle and Architectures of Optical Stress Sensors and the Progress on the Development of Microbend Optical Sensors

Wang

Yiu

et al. 2021

Advanced Optical Materials

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For example, a graphene sensor has been used to detect various gas molecules such as NO 2 . [7] For important healthcare applications, medical devices built with sensors have been used to measure various vital signals such as blood pressure, body temperature, blood glucose, etc. [8] For example, pressure sensors can be used to test the pulse [9] while chemical sensors allowed the measurement of lactate concentration in blood and analysis of sweat composition for the real time physiologic monitoring. [10] Among the various types of sensors mentioned above, stress sensors play an important role in the sensor family. With the rapid development in the Internet of Thing (IoT) and the big data technology [11] in recent years, the use of artificial intelligence (AI) becomes increasingly significant, [12] accelerating the progress in robotics and automation. Because of this, stress sensors are more and more significant for the development of robotic science and AI technology, including artificial skin. [13] In addition, stress sensors can also be applied in photonics, for example microbend optical stress sensor is a typical application. With the advantages presented by microbend optical stress sensors, such as their flexibility, sensitivity, low-cost, and reliability, [14] they can be used in extreme environments, [15] which greatly extends the applied range of the stress sensors. Despite recent advancement of the microbend optical sensors, almost no review to account for the achievements and promote the future development in this area of research is found in the literature. In this review, the theoretical principles and the assembly of typical optical stress sensors are presented. Three physical mechanisms of the bend-loss-based optical stress sensors are introduced. As one type of the bend-loss-based optical stress sensor, the progress of microbend optical sensors for applications in various areas is discussed. The optical stress sensors have already shown potential in a broader spectrum of applications, from healthcare to robotic science. We anticipate that optical stress sensors, in particular microbend optical sensors, will continue to attract attention of researchers globally. This review provides a comprehensive information pack for the community to advance the future development in optical stress sensor. Optical Stress SensorsStress sensors are designed to sense changes in pressure. Traditional stress sensors detect the stress via the Optical stress sensors have been considered to be amongst the most important categories in the development of stress sensors. Recently, the advancement of microbend optical sensors has been playing a pivotal role in the stress sensor development. In this review, the principles and the architectures of the optical stress sensors are reviewed, and the physical mechanisms of the bend-loss-based optical stress sensors are presented. The latest development and applications of microbend optical sensors in key areas are discussed. The authors aim to provide some guidance in the optical sen...

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A Secure Multi-factor Authentication Framework for IoT-Environment Using Cloud Computing

Kumar,

Ali,

Sharma

2024

Innovative Computing and Communications

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Anonymous authentication key agreement scheme with pairing-based cryptography for home-based multi-sensor Internet of Things

Cited by 32 publications

References 18 publications

An Efficient, Anonymous and Robust Authentication Scheme for Smart Home Environments

An Efficient, Anonymous and Robust Authentication Scheme for Smart Home Environments

The Principle and Architectures of Optical Stress Sensors and the Progress on the Development of Microbend Optical Sensors

A Secure Multi-factor Authentication Framework for IoT-Environment Using Cloud Computing

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