A lightweight anonymous user authentication and key establishment scheme for wearable devices

Gupta, Ankur; Tripathi, Meenakshi; Shaikh, Tabish Jamil; Sharma, Aakar

doi:10.1016/j.comnet.2018.11.021

Cited by 116 publications

(61 citation statements)

References 23 publications

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“…i.e., gateway or server, through either direct or multi-hop communication mechanism [3]. This sensitive data needs to be collected and accessed solely by authenticated device(s) in an operational network.…”

Section: Introductionmentioning

confidence: 99%

MAC-AODV Based Mutual Authentication Scheme for Constraint Oriented Networks

et al. 2020

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Wireless sensor networks (WSNs) is an infrastructure free organization of various operational devices. Due to their overwhelming characteristics, these networks are used in different applications. For WSNs, it is necessary to collect real time and precise data as critical decisions are based on these readings in different application scenarios. In WSNs, authentication of the operational devices is one the challenge issue to the research community as these networks are dynamic and self-organizing in nature. Moreover, due to the constraint oriented nature of these devices a generalized light-weight authentication scheme is needed to be developed. In this paper, a light-weight anonymous authentication techniques is presented to resolve the black-hole attack issue associated with WSNs. In this scheme, Medium Access Control (Mac) address is used to register every node in WSNs with its nearest cluster head (CH) or base station module(s). The registration process is performed in an off-line phase to ensure authenticity of both legitimate nodes and base stations in an operational network. The proposed technique resolves the black-hole attack issue as an intruder node needs to be registered with both gateway and neighbouring nodes which is not possible. Moreover, a hybrid data encryption scheme, elliptic curve integrated encryption standard (ECIES) and elliptic curve deffi-hellman problem (ECDDHP), is used to improve authenticity, confidentiality and integrity of the collected data. Simulation results show the exceptional performance of the proposed scheme against field proven techniques in terms of minimum possible end-to-end delay & communication cost, maximum average packet delivery ratio and throughput in presence of malicious node(s).INDEX TERMS WSNs, AODV protocol, black hole attacks, MAC-Based AODV, authentication.

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Section: Introductionmentioning

confidence: 99%

MAC-AODV Based Mutual Authentication Scheme for Constraint Oriented Networks

et al. 2020

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“…More recently, in 2019, articles on this subject were published by Dammak et al [45], Gupta et al [46], Lyu et al [47], Ma et al [48], Renuka et al [49], and Li et al [50]. However, these schemes still have weaknesses, particularly in terms of the computation and communication overheads, which are highly compared to those of our proposed scheme.…”

Section: Related Workmentioning

confidence: 86%

A Secure and Lightweight Three‐Factor Remote User Authentication Protocol for Future IoT Applications

et al. 2021

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With the booming integration of IoT technology in our daily life applications such as smart industrial, smart city, smart home, smart grid, and healthcare, it is essential to ensure the security and privacy challenges of these systems. Furthermore, time-critical IoT applications in healthcare require access from external parties (users) to their real-time private information via wireless communication devices. Therefore, challenges such as user authentication must be addressed in IoT wireless sensor networks (WSNs). In this paper, we propose a secure and lightweight three-factor (3FA) user authentication protocol based on feature extraction of user biometrics for future IoT WSN applications. The proposed protocol is based on the hash and XOR operations, including (i) a 3-factor authentication (i.e., smart device, biometrics, and user password); (ii) shared session key; (iii) mutual authentication; and (iv) key freshness. We demonstrate the proposed protocol’s security using the widely accepted Burrows–Abadi–Needham (BAN) logic, Automated Validation of Internet Security Protocols and Applications (AVISPA) simulation tool, and the informal security analysis that demonstrates its other features. In addition, our simulations prove that the proposed protocol is superior to the existing related authentication protocols, in terms of security and functionality features, along with communication and computation overheads. Moreover, the proposed protocol can be utilized efficiently in most of IoT’s WSN applications, such as wireless healthcare sensor networks.

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“…Among these research ( [66], [67], [69]- [73], [78], [79]), Elliptic curve cryptography (ECC) is the most popular public-key cryptographic algorithm, as it requires smaller key size over other traditional public-key cryptographic algorithms, such as Rivest-Shamir-Adleman (RSA). On the other hand, symmetric cryptographic algorithms are often used in research ( [68], [75], [76]) on access control, data transmission to and from IoMT sensors, as they are light-weight on those resource constraint devices. For hybrid security schemes ( [74], [77], [80], [81]), symmetric cryptographic algorithms are often used as session keys.…”

Section: A State-of-the-artmentioning

confidence: 99%

Security and Privacy for the Internet of Medical Things Enabled Healthcare Systems: A Survey

2019

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With the increasing demands on quality healthcare and the raising cost of care, pervasive healthcare is considered as a technological solutions to address the global health issues. In particular, the recent advances in Internet of Things have led to the development of Internet of Medical Things (IoMT). Although such low cost and pervasive sensing devices could potentially transform the current reactive care to preventative care, the security and privacy issues of such sensing system are often overlooked. As the medical devices capture and process very sensitive personal health data, the devices and their associated communications have to be very secured to protect the user's privacy. However, the miniaturized IoMT devices have very limited computation power and fairly limited security schemes can be implemented in such devices. In addition, with the widespread use of IoMT devices, managing and ensuring the security of IoMT systems are very challenging and which are the major issues hindering the adoption of IoMT for clinical applications. In this paper, the security and privacy challenges, requirements, threats, and future research directions in the domain of IoMT are reviewed providing a general overview of the state-of-the-art approaches.

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A lightweight anonymous user authentication and key establishment scheme for wearable devices

Cited by 116 publications

References 23 publications

MAC-AODV Based Mutual Authentication Scheme for Constraint Oriented Networks

MAC-AODV Based Mutual Authentication Scheme for Constraint Oriented Networks

A Secure and Lightweight Three‐Factor Remote User Authentication Protocol for Future IoT Applications

Security and Privacy for the Internet of Medical Things Enabled Healthcare Systems: A Survey

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