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Cited by 316

The DOI matches its Crossref record; 19 of the 19 references it cites were found in a registry or an index.

Mutual Authentication in IoT Systems Using Physical Unclonable Functions

Aman, Muhammad Naveed, Chua, Kee Chaing, Sikdar, Biplab·2017·IEEE Internet of Things Journal

Abstract

The Internet of Things (IoT) represents a great opportunity to connect people, information, and things, which will in turn cause a paradigm shift in the way we work, interact, and think. IoT devices are usually small, low cost, and have limited resources, which makes them vulnerable to physical, side-channel, and cloning attacks. Therefore, any protocol designed for IoT systems should not only be secure but also efficient in terms of usage of chip area, energy, storage, and processing. To address this issue, we present light-weight mutual authentication protocols for IoT systems based on physical unclonable functions. Protocols for two scenarios are presented, one when an IoT device and server wish to communicate and the other when two IoT devices want to establish a session. A security and performance analysis of the protocols shows that they are not only robust against different types of attacks, but are also very efficient in terms of computation, memory, energy, and communication overhead. The proposed protocols are suitable for real time applications and are an attractive choice for implementing mutual authentication in IoT systems.

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Metadata

Authors
Aman, M. N., Chua, K. C., & Sikdar, B.
Venue
IEEE Internet of Things Journal
Published
2017-10
Volume
4
Issue
5
Pages
1327-1340
ISSN
  • 2327-4662 (ISSN-L)
  • 2372-2541
OpenAlex
W2613748018
Cited by
316
References
19
FWCI
15.78
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: Mutual Authentication in IoT Systems Using Physical Unclonable Functions. https://app.cochat.ai/papers/10.1109/jiot.2017.2703088
The paper
Aman, M. N., Chua, K. C., & Sikdar, B. (2017). Mutual Authentication in IoT Systems Using Physical Unclonable Functions. IEEE Internet of Things Journal. https://doi.org/10.1109/jiot.2017.2703088

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