AnonSURP: an anonymous and secure ultralightweight RFID protocol for deployment in internet of vehicles systems

Shariq, Mohd; Singh, Karan; Maurya, Pramod Kumar; Ahmadian, Ali; Taniar, David

doi:10.1007/s11227-021-04232-2

Cited by 14 publications

(13 citation statements)

References 31 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Environmental feedback redefines people's understanding of traditional car travels. However, with the rapid development of smart cars, it also raises serious challenges to the security of the existing IoV [30]. Among them, network security and data security have become important scenarios for the sustainable growth of the IoV industry.…”

Section: The Security Of Iovmentioning

confidence: 99%

See 1 more Smart Citation

IoT Security Review: A Case Study of IIoT, IoV, and Smart Home

Ma¹,

Shangguan²,

Zhang³

2022

Wireless Communications and Mobile Computing

View full text Add to dashboard Cite

The Internet of Things (IoT) acts as a tremendous network that is constructed by fusing diverse sensors. IoT can achieve the interconnection of individuals, things, and machines at any place and time and improve the function performance of network applications. However, the security of IoT has always been a major problem that may limit the application perspective of IoT technologies. Nowadays, industrial IOT (IIoT), Internet of vehicles (IoV), and smart home have become the three primary emerging perspectives of the current IoT studies, and it is necessary to systematically highlight the security analysis of these three types of scenarios. Hence, in this paper, guided by the three major IoT application scenarios, i.e., IIoT, IoV, and smart home, we sum up the development status of IoT security technologies, analyzed corresponding technical difficulties, and discussed several future outlook of challenges and development trends for the IoT technology.

show abstract

Section: The Security Of Iovmentioning

confidence: 99%

“…Whereas rapidly developing IoV technology, the United States and Europe attach great importance to the network security management, protection system construction, data security, and privacy protection of the IoV life cycle [30].…”

Section: The Security Of Iovmentioning

confidence: 99%

IoT Security Review: A Case Study of IIoT, IoV, and Smart Home

Ma¹,

Shangguan²,

Zhang³

2022

Wireless Communications and Mobile Computing

View full text Add to dashboard Cite

show abstract

“…For read-write tags, they may face the risk of data rewriting. Several researchers have participated in the implementation of low-cost privacy and security protocols to increase their applicability [66], [67]. Many lightweight RFID solutions have been proposed, but they are still expensive, vulnerable to security risks, and do not fully address security issues [58].…”

Section: ) Security Issuesmentioning

confidence: 99%

“…[147] 2022 Suggests a new lightweight RFID authentication protocol that can resist several attacks MT2 [80] 2006 Tag deactivation was proposed by EPCglobal MT3 [148] 2008 Suggests an isolated container made of a metal mesh to protect the privacy of tags [149] 2005 Suggests a new approach to enhance the isolation between receivers and transmitters for passive RFID applications [150] 2019 Proposes a new carrier leakage cancellation technique which is needed in UHF RFID reader circuit [151] 2002 Suggests jamming all neighboring radio channels by an active RF jammer that frequently hinders particular RF channels MT5 [152] 2009 Suggests a look-up mapping mechanism to achieve the goal of location privacy by converting the genuine ID of RFID into an anonymous one. [67] 2022 Proposes an anonymous and secure highlight RFID protocol used specifically for the Internet of Vehicles. [153] 2022 Suggests a lightweight anonymous RFID authentication protocol using XOR and pseudorandom function (PRF) operations [125] 2006 Proposes a novel technique to change an anonymous ID frequently to prevent some privacy issues (e.g., tracking attack) MT6 [154] 2013 Proposes an Physically Unclonable Function (PUF)-based authentication protocol which utilizes a pair of item-level tags to prevent cloning attacks [155] 2020 Proposes a lightweight PUF-based authentication protocol that is used to secure communications between smart meters and neighborhood gateways [156] 2021 Proposes a secure authentication protocol developed based on PUF and AES [157] 2014 Proposes an PUF-based authentication protocol to prevent memory leakage MT7 [158] 2005 Suggests a personal RFID firewall in which all requests from readers to tags must be verified [159] 2006 Proposes a novel idea for a personal RFID-privacy object known as RFID Enhancer Proxy (REP) that operates as a proxy for RFID tags [160] 2008 Proposes a framework which can be used to enhance RFID security by using a proxy.…”

Section: Implementation Techniquesmentioning

confidence: 99%

Analysis on Security and Privacy Guidelines: RFID-Based IoT Applications

2022

View full text Add to dashboard Cite

The Internet of Things (IoT) comprises many technologies, among them is Radio Frequency Identification (RFID), which can be used to track single or multiple objects. This technology has been widely used in healthcare, supply chain, logistics, and asset tracking. However, such applications require a high level of security and privacy and are unfortunately vulnerable to various attacks and threats that need to be addressed in order for RFID-based IoT applications to reach their full potential. To this end, we propose a set of security and privacy guidelines for RFID, supported by modelling guidelines, mitigations, and the attack vectors cohesively. We compare to the state of the art and point out their shortcomings on known guidelines and reason to address these in our model. The overall methodology is as follows: (i) identify the security and privacy guideline features, (ii) highlight the security goals for RFID-based IoT applications, (iii) analyze the features in relation to RFID industrial standards, and relate them to security goals, (iv) summarize attacks and threats against RFID applications and correlate them with violated security goals, (v) derive a set of security and privacy guidelines for RFID applications in accordance with security and privacy by design frameworks. We also describe our derived guidelines in connection with the involved stakeholders, and (vi) outline the existing mitigation strategies to implement our proposed guidelines. Finally, we describe the main limitations of our work that should be investigated in the future and identify the multiple challenges that concern current security strategies.INDEX TERMS Internet of Things;RFID;security guidelines;privacy guidelines;countermeasures;security goals;privacy and security by design;attacks

show abstract

“…The vehicle networking industry is booming due to the rapid development of emerging technologies such as edge computing, wireless communication, and artificial intelligence [ 1 , 2 , 3 , 4 , 5 , 6 , 7 ]. Compared to visual inspection technology, which relies on “seeing” assets, RFID solutions rely on “listening” by using ultra-high-frequency (UHF) signals to remotely interrogate RFID tags attached to or embedded in objects, which greatly improves the efficiency of traffic control systems, including electronic toll collection, cargo inspection, and vehicle entry control, among other applications [ 8 , 9 ].…”

Section: Introductionmentioning

confidence: 99%

Capture-Aware Dense Tag Identification Using RFID Systems in Vehicular Networks

Xu,

Song,

Sun

et al. 2023

Sensors

View full text Add to dashboard Cite

Passive radio-frequency identification (RFID) systems have been widely applied in different fields, including vehicle access control, industrial production, and logistics tracking, due to their ability to improve work quality and management efficiency at a low cost. However, in an intersection situation where tags are densely distributed with vehicle gathering, the wireless channel becomes extremely complex, and the readers on the roadside may only decode the information from the strongest tag due to the capture effect, resulting in tag misses and considerably reducing the performance of tag identification. Therefore, it is crucial to design an efficient and reliable tag-identification algorithm in order to obtain information from vehicle and cargo tags under adverse traffic conditions, ensuring the successful application of RFID technology. In this paper, we first establish a Nakagami-m distributed channel capture model for RFID systems and provide an expression for the capture probability, where each channel is modeled as any relevant Nakagami-m distribution. Secondly, an advanced capture-aware tag-estimation scheme is proposed. Finally, extensive Monte Carlo simulations show that the proposed algorithm has strong adaptability to circumstances for capturing under-fading channels and outperforms the existing algorithms in terms of complexity and reliability of tag identification.

show abstract

AnonSURP: an anonymous and secure ultralightweight RFID protocol for deployment in internet of vehicles systems

Cited by 14 publications

References 31 publications

IoT Security Review: A Case Study of IIoT, IoV, and Smart Home

IoT Security Review: A Case Study of IIoT, IoV, and Smart Home

Analysis on Security and Privacy Guidelines: RFID-Based IoT Applications

Capture-Aware Dense Tag Identification Using RFID Systems in Vehicular Networks

Contact Info

Product

Resources

About