Dynamic Authentication Protocol Using Self-Powered Timers for Passive Internet of Things

Afifi, Mostafa; Zhou, Liang; Chakrabartty, Shantanu; Ren, Jian

doi:10.1109/jiot.2017.2757918

Cited by 21 publications

(6 citation statements)

References 13 publications

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“…[17] as “the sensing layer” or by Bendavid [18] as “the data capture layer”. At this level, one method to increase the security and to prohibit unauthorized access in IoT applications is to perform tag-reader mutual authentication protocol [19,20,21,22]. Various security techniques can be applied in order to transfer data securely such as cryptosystems.…”

Section: Rfid Authentication Protocols Using Pufmentioning

confidence: 99%

IoT Device Security: Challenging “A Lightweight RFID Mutual Authentication Protocol Based on Physical Unclonable Function”

Bendavid

Bagheri

Safkhani

et al. 2018

Sensors

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With the exponential increase of Internet of things (IoT) connected devices, important security risks are raised as any device could be used as an attack channel. This preoccupation is particularly important with devices featuring limited processing power and memory capabilities for security purposes. In line with this idea, Xu et al. (2018) proposed a lightweight Radio Frequency Identification (RFID) mutual authentication protocol based on Physical Unclonable Function (PUF)—ensuring mutual tag-reader verification and preventing clone attacks. While Xu et al. claim that their security protocol is efficient to protect RFID systems, we found it still vulnerable to a desynchronization attack and to a secret disclosure attack. Hence, guidelines for the improvements to the protocol are also suggested, for instance by changing the structure of the messages to avoid trivial attacks. In addition, we provide an explicit protocol for which our formal and informal security analysis have found no weaknesses.

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Section: Rfid Authentication Protocols Using Pufmentioning

confidence: 99%

IoT Device Security: Challenging “A Lightweight RFID Mutual Authentication Protocol Based on Physical Unclonable Function”

Bendavid

Bagheri

Safkhani

et al. 2018

Sensors

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“…Many applications provide identity, authentication, and authorization across multiple contexts for IoT scenarios [ 15 , 16 , 17 , 18 , 19 , 20 , 21 , 22 , 23 ], and different authors present many taxonomies. Shubham Agrawal et al [ 24 ] claim that there are different authentication schemes, named: OTP, Zero-Knowledge proof, Mutual Authentication, Public Key Cryptography, and Digital Signature.…”

Section: Related Workmentioning

confidence: 99%

“…This section presents some attacks that are usually issues related to IoT solutions. We want to classify the protocol security based on a set of theorems, adapting those used by Afifi et al [ 23 ] or Sousa, Patrícia R., et al [ 50 ] to prove that an authentication protocol is secure.…”

Section: Security Analysismentioning

confidence: 99%

Provisioning, Authentication and Secure Communications for IoT Devices on FIWARE

Sousa

Magalhães

Resende

et al. 2021

Sensors

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The increasing pervasiveness of the Internet of Things is resulting in a steady increase of cyberattacks in all of its facets. One of the most predominant attack vectors is related to its identity management, as it grants the ability to impersonate and circumvent current trust mechanisms. Given that identity is paramount to every security mechanism, such as authentication and access control, any vulnerable identity management mechanism undermines any attempt to build secure systems. While digital certificates are one of the most prevalent ways to establish identity and perform authentication, their provision at scale remains open. This provisioning process is usually an arduous task that encompasses device configuration, including identity and key provisioning. Human configuration errors are often the source of many security and privacy issues, so this task should be semi-autonomous to minimize erroneous configurations during this process. In this paper, we propose an identity management (IdM) and authentication method called YubiAuthIoT. The overall provisioning has an average runtime of 1137.8 ms ±65.11+δ. We integrate this method with the FIWARE platform, as a way to provision and authenticate IoT devices.

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“…Recent work of authentication Protocol design based on self-adapted powered timers has been carried by Affifi et al [43] for RFID based IoT application. In this author have presented various improved authentication protocols to mitigate the security defects in the existing protocols.…”

Section: Existing Research Approachesmentioning

confidence: 99%

An Insight of Existing Research Methods towards Securing IoT Communication System

Fathima*,

Banu,

Ahammed

2020

IJITEE

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IoT is an advanced analytics system that incorporates physical devices, intelligent technologies, and internet services to provide automation services and cost-effective productivity. The IoT oriented framework offers effective control, stabilized execution, and translucent services when it is applied to any enterprise. However, IoT devices are at risk of many security threats because they communicate and operate smart device services over wide distributed networks (i.e., insecure Internet channels). Over the past few years, it has been witnessed that several types of malicious activities have been tried to undermine the security and privacy of sensor networks as well as Internet-based applications. In order to protect IoT devices, many research works have been carried out to address potential security attack and to find an optimal way to overcome and limit the risk factors that affect security requirement and individual privacy. Therefore, this paper carries an assessment of the existing research works in order to understand better the root cause of the new possible threat and the challenges associated with IoT security. The paper also reflects the research trend to demonstrate the current status of security methods being developed till date. The prime motive of the present work is to reveal the current research gap and make an effective contribution to the future research direction.

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Dynamic Authentication Protocol Using Self-Powered Timers for Passive Internet of Things

Cited by 21 publications

References 13 publications

IoT Device Security: Challenging “A Lightweight RFID Mutual Authentication Protocol Based on Physical Unclonable Function”

IoT Device Security: Challenging “A Lightweight RFID Mutual Authentication Protocol Based on Physical Unclonable Function”

Provisioning, Authentication and Secure Communications for IoT Devices on FIWARE

An Insight of Existing Research Methods towards Securing IoT Communication System

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