Mutual Authentication in IoT Systems Using Physical Unclonable Functions

Aman, Muhammad Naveed; Chua, Kee Chaing; Sikdar, Biplab

doi:10.1109/jiot.2017.2703088

Cited by 253 publications

(160 citation statements)

References 19 publications

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“…Wazid et al [33] proposed a secure and very light-weight three-factor authentication scheme that applies smart cards, passwords, and personal biometrics, which proves to be secure formally. Aman et al [34] proposed a mutual authentication scheme using physical unclonable functions (PUFs). The scheme contributes to establishing session keys between a device and a server or two devices.…”

Section: Authorization Phasementioning

confidence: 99%

An Attribute-Based Collaborative Access Control Scheme Using Blockchain for IoT Devices

Zhang

Liu

et al. 2020

Electronics

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The Internet of Things (IoT) benefits our lives by integrating physical devices to the real world and offers a crucial internet infrastructure for future civilization. Because IoT devices are widely distributed and restricted in resources, it is difficult for them to adopt traditional security methods to resist malicious attacks. Unauthorized access to IoT devices, which results in severe privacy and security problems, has become a major challenge that has impeded IoT technology from being widely adopted. Therefore, the access control for IoT devices urgently needs to be improved when dealing with authorization issues. In this paper, we propose an attribute-based access control scheme that provides decentralized, flexible, and fine-grained authorization for IoT devices. Blockchain is utilized to provide authentic and reliable credentials. More importantly, a verifiable collaboration mechanism is designed to meet the needs of controlled access authorization in emergencies. Authority nodes are constructed to execute major computation tasks and interact with the blockchain. The security analysis shows that our scheme can reliably guarantee the security of authorized access. More than security assurance, a proof-of-concept prototype has been implemented to prove that our scheme is scalable, efficient, and accommodates IoT devices well.

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Section: Authorization Phasementioning

confidence: 99%

An Attribute-Based Collaborative Access Control Scheme Using Blockchain for IoT Devices

Zhang

Liu

et al. 2020

Electronics

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“…The light and secure authentication is an essential and important for IoTs, especially when IoTs are dealing with an immense number of devices. One of the state-of-the-art solutions for IoTs is a Physical Unclonable Function (PUF)-based authentication [37,38]. PUFs are digital fingerprints of IoTs which utilize the physical disorder of random nanoscale phenomena.…”

Section: Scalable and Secure Internet Of Things Connectivitymentioning

confidence: 99%

Scalable and Secure Internet of Things Connectivity

2019

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The Internet of things (IoT) technology, which is currently considered the new growth engine of the fourth industrial revolution, affects our daily life and has been applied to various industrial fields. Studies on overcoming the limitations of scalability and stability in a centralized IoT operating environment by employing distributed blockchain technology have been actively conducted. However, the nature of IoT that ensures connectivity with multiple objects at any time and any place increases security threats. Further, it extends the influence of the cyber world into the physical domain, resulting in serious damage to human life and property. Therefore, we aim to study a method to increase the security of IoT devices and effectively extend them simultaneously. To this end, we analyze the authentication methods and limitations of traditional IoT devices and examine cases for improving IoT environments by using blockchain technology. Accordingly, we propose a framework that allows IoT devices to be securely connected and extended to other devices by automatically evaluating security using blockchain technology and the whitelist. The method proposed in this paper restricts the extension of devices vulnerable to security risks by imposing penalties and allows only devices with high security to be securely and quickly authenticated and extended without user intervention. In this study, we applied the proposed method to IoT network simulation environments and observed that the number of devices vulnerable to security was reduced by 48.5% compared with traditional IoT environments.

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“…www.ijacsa.thesai.org Moreover, Critical process in IoT-eHealth including security, data analysis, mobility, and adaptation, if performed at the gateway, i.e., the Fog layer, rather than the Cloud can significantly improve overall system performance [5]. Current literature, such as [6][7][8] seems to either have ignored the realization of security capabilities at this layer or have provided stringent solutions, or have focused on a particular threat type or security objective.…”

Section: Introductionmentioning

confidence: 99%

Towards a Gateway-based Context-Aware and Self-Adaptive Security Management Model for IoT-based eHealth Systems

Aman¹,

Kausar²

2019

ijacsa

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IoT-based systems have considerable dynamic behavior and heterogeneous technology participants. The corresponding threats and security operations are also complex to handle. Traditional security solutions may not be appropriate and effective in such ecosystems as they recognize and assess a limited context, they work well only with high-end and specific computing platforms, and implement manual response mechanisms. We have identified the security objectives of a potential IoT-eHealth system and have proposed a security model that can efficiently achieve them. The proposed model is a context-aware and self-adaptive security management model for IoT, in eHealth perspective that will monitor, analyze, and respond to a multitude of security contexts autonomously. As these operations are planned at the gateway level, the model exploits the advantages of computing in the Fog Layer. Moreover, the proposed model offers flexibility and open connectivity to allow any smart device or thing to be managed irrespective of their native design. We have also explained how our model can establish and serve the essential security objectives of an IoT-based environment.

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Mutual Authentication in IoT Systems Using Physical Unclonable Functions

Cited by 253 publications

References 19 publications

An Attribute-Based Collaborative Access Control Scheme Using Blockchain for IoT Devices

An Attribute-Based Collaborative Access Control Scheme Using Blockchain for IoT Devices

Scalable and Secure Internet of Things Connectivity

Towards a Gateway-based Context-Aware and Self-Adaptive Security Management Model for IoT-based eHealth Systems

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