An enhanced scalable and secure RFID authentication protocol for WBAN within an IoT environment

Izza, Sarah; Benssalah, Mustapha; Drouiche, Karim

doi:10.1016/j.jisa.2020.102705

Cited by 48 publications

(46 citation statements)

References 26 publications

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“…In this section, we discuss the the results of our proposed protocol and compare it with its competitors, namely [39], [30], [57] and [58]. All these schemes are D2D lightweight protocols.…”

Section: Discussion and Resultsmentioning

confidence: 99%

“…The elliptic curve computation time has been applied to the comparison as it is used in [57] and its extension [58] to exchange the secret key used to encrypt the transferred data.…”

Section: A Computation Costmentioning

confidence: 99%

“…Table 4 contains a computation cost comparison between our protocol, Chuang et al [39], Gope et al [30], Naeem et al [57], and Izza et al [58]. Note that, for [39] we choose to compare with the extended version of this protocol because it computes the anonymous ID in this version.…”

Section: A Computation Costmentioning

confidence: 99%

“…Naeem et al [57] protocol has the least number of hashes and near elliptic curve cost from [58], but it suffers from many security issues (see Table 8) and this protocol is only between the tag and the reader (i.e., no server included). Additionally, Izza et al [58] is an improvement and extension to the previous protocol [57] that authenticates tag, reader and server. However, this protocol also contains several security threats.…”

Section: A Computation Costmentioning

confidence: 99%

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A Robust Device-to-Device Continuous Authentication Protocol for the Internet of Things

Badhib¹,

Alshehri

Cherif

2021

IEEE Access

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The Internet of Things (IoT) is a heterogeneous environment that connects billions of devices. Thus, it is a significantly high-value target for attackers and suffers from several threats, especially impersonation attacks during the session. Moreover, the denial of service attack (DoS) threatens IoT environments, as it affects the availability and energy of communicating devices. Continuous authentication solves session hijacking since it checks user legitimacy during the session. Several continuous authentication schemes were proposed to authenticate users to IoT devices, while few works addressed device-to-device authentication. Therefore, it is essential to authenticate devices because if one device gets compromised, then the whole system is at risk. Continuous authentication between devices differs from user-to-device authentication since it cannot rely on biometrics and passwords. This research proposes a fast and secure device-to-device continuous authentication protocol that relies on devices' features (token, battery, and location), and mitigates DoS attacks using shadow IDs and emergency keys. Moreover, it takes the sensor movement into account while preserving privacy. To evaluate the robustness and validate the security of the proposed protocol, we conducted informal and formal analyses using Scyther. In addition, we tested its performance to establish computation costs relative to the system counterparts. The results show the protocol is robust against security threats, incurring reasonable computational costs.

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Section: Discussion and Resultsmentioning

confidence: 99%

“…The elliptic curve computation time has been applied to the comparison as it is used in [57] and its extension [58] to exchange the secret key used to encrypt the transferred data.…”

Section: A Computation Costmentioning

confidence: 99%

Section: A Computation Costmentioning

confidence: 99%

Section: A Computation Costmentioning

confidence: 99%

See 2 more Smart Citations

A Robust Device-to-Device Continuous Authentication Protocol for the Internet of Things

Badhib¹,

Alshehri

Cherif

2021

IEEE Access

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“…In 2021, Izza et al were concerned with the security of wireless communication systems through the proposition of their RFID authentication protocol [ 117 ] that meets the security limitation of Naeem [ 111 ] protocol. Izza et al assert that their improved scheme achieves both scalability, security, and privacy for RFID systems.…”

Section: Analysis Of Proposed Ecc-based Rfid Protocolsmentioning

confidence: 99%

Survey: Vulnerability Analysis of Low-Cost ECC-Based RFID Protocols against Wireless and Side-Channel Attacks

Gabsi

Beroulle

Kieffer

et al. 2021

Sensors

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The radio frequency identification (RFID) system is one of the most important technologies of the Internet of Things (IoT) that tracks single or multiple objects. This technology is extensively used and attracts the attention of many researchers in various fields, including healthcare, supply chains, logistics, asset tracking, and so on. To reach the required security and confidentiality requirements for data transfer, elliptic curve cryptography (ECC) is a powerful solution, which ensures a tag/reader mutual authentication and guarantees data integrity. In this paper, we first review the most relevant ECC-based RFID authentication protocols, focusing on their security analysis and operational performances. We compare the various lightweight ECC primitive implementations designed for RFID applications in terms of occupied area and power consumption. Then, we highlight the security threats that can be encountered considering both network attacks and side-channel attacks and analyze the security effectiveness of RFID authentication protocols against such types of attacks. For this purpose, we classify the different threats that can target an ECC-based RFID system. After that, we present the most promising ECC-based protocols released during 2014–2021 by underlining their advantages and disadvantages. Finally, we perform a comparative study between the different protocols mentioned regarding network and side-channel attacks, as well as their implementation costs to find the optimal one to use in future works.

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Lightweight and efficient privacy‐preserving mutual authentication scheme to secure Internet of Things‐based smart healthcare

Das

Namasudra

2023

Trans Emerging Tel Tech

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In recent years, Internet of Things (IoT) technology has been adopted in numerous application areas, such as healthcare, agriculture, industrial automation, and many more. The use of IoT and other technologies like cloud computing and machine learning has made the modern healthcare system to be smart, automated, and efficient. However, the continuous proliferation of cyber‐attacks on IoT devices has increased IoT challenges like data security, privacy protection, authentication, and so forth. In smart healthcare systems, due to the lack of authentication protocols, attackers can undermine the availability, confidentiality, and integrity of both smart healthcare devices and data, which can be life‐threatening in some situations. In this article, a privacy‐preserving mutual authentication scheme for IoT‐enabled healthcare systems is proposed to achieve lightweight and effective authentication of network devices. To support the processing capabilities of the IoT devices, this proposed authentication scheme is designed using lightweight cryptographic primitives, namely XOR, concatenation, and hash operation. The proposed scheme can establish a secure session between an authorized device and a gateway, and prevent unauthorized devices from getting access to healthcare systems. The security analysis and performance analysis assess the proposed authentication technique's effectiveness over existing well‐known schemes.

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An enhanced scalable and secure RFID authentication protocol for WBAN within an IoT environment

Cited by 48 publications

References 26 publications

A Robust Device-to-Device Continuous Authentication Protocol for the Internet of Things

A Robust Device-to-Device Continuous Authentication Protocol for the Internet of Things

Survey: Vulnerability Analysis of Low-Cost ECC-Based RFID Protocols against Wireless and Side-Channel Attacks

Lightweight and efficient privacy‐preserving mutual authentication scheme to secure Internet of Things‐based smart healthcare

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