Two-Factor Fuzzy Commitment for Unmanned IoT Devices Security

Choi, Dooho; Seo, Seung-Hyun; Oh, Yung-Hwan; Kang, Young-Shik

doi:10.1109/jiot.2018.2837751

Cited by 30 publications

(10 citation statements)

References 39 publications

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“…According to the proposed mechanism in this paper, which is a combination of biometrics and coding, the security of the system has been improved by an average of 96.82%. Based on simulation states, the proposed method improves the system security by 120.38% on average, which shows 106.23, 110.45 and 144.46% improvement for the IoT sensor layer, controller layer and application layer, respectively [30][31][32][33][34][35].…”

Section: Discussionmentioning

confidence: 99%

Security-Level Improvement of IoT-Based Systems Using Biometric Features

Moradi

Moradkhani

Tavakoli

2022

Wireless Communications and Mobile Computing

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The Internet of Things (IoT) is reported as a main research topic in the current decade. It will be possible to connect smart devices to each other using IoT, a platform such as the Internet. However, the expansion and intrusion of such a large network raises some new security issues and risks related to the disclosure of user confidential information where these devices are subject to hacker threats and intrusions. Traditional security systems were password based. In this paper, after reviewing the actions taken in this regard, the improvement level of biometric security compared with traditional password-based methods will be proven in section three using the Markov model. By considering the results of the evaluation, the probability of occurrence of security problems is decreased by 90.71% by applying biometric features. Then, multi-layer security architecture with biometric features and coding systems is suggested to increase security. In the first layer, the fingerprint recognition algorithm is dependent on the module, and the U.are.U 5100 module provides more security than others. In the second layer, the Hash mechanism of the MD5 algorithm is, on average, 63.21% more efficient. By determining the properties of the first two architectural layers and ultimately for the IoT application layer, empirical methods and hardware platforms for the Internet of things are used. Concerning the simulation results, the suggested mechanism enhances the system security by 120.38% on average, which is 106.23, 110.45, and 144.46% of relative improvement compared with IoT sensors, controller layer mechanisms, and application layer mechanisms, respectively.

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Section: Discussionmentioning

confidence: 99%

Security-Level Improvement of IoT-Based Systems Using Biometric Features

Moradi

Moradkhani

Tavakoli

2022

Wireless Communications and Mobile Computing

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“…The authors conducted a detailed analysis on two cryptographic primitives, the fuzzy commitment and fuzzy vault, and discussed their strengths and weaknesses when used in ECG-based bio-cryptosystems. Choi et al [ 90 ] protected the cryptographic key stored in the unmanned IoT device with a novel two-factor fuzzy commitment. The proposed scheme uses both the biometric data and physical unclonable function (PUF), which increases the difficulty for the attacker to acquire the correct key.…”

Section: Biometric-cryptographic Systems For Iot Data Encryption/decryptionmentioning

confidence: 99%

Biometrics for Internet-of-Things Security: A Review

Yang

Wang

Sahri

et al. 2021

Sensors

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The large number of Internet-of-Things (IoT) devices that need interaction between smart devices and consumers makes security critical to an IoT environment. Biometrics offers an interesting window of opportunity to improve the usability and security of IoT and can play a significant role in securing a wide range of emerging IoT devices to address security challenges. The purpose of this review is to provide a comprehensive survey on the current biometrics research in IoT security, especially focusing on two important aspects, authentication and encryption. Regarding authentication, contemporary biometric-based authentication systems for IoT are discussed and classified based on different biometric traits and the number of biometric traits employed in the system. As for encryption, biometric-cryptographic systems, which integrate biometrics with cryptography and take advantage of both to provide enhanced security for IoT, are thoroughly reviewed and discussed. Moreover, challenges arising from applying biometrics to IoT and potential solutions are identified and analyzed. With an insight into the state-of-the-art research in biometrics for IoT security, this review paper helps advance the study in the field and assists researchers in gaining a good understanding of forward-looking issues and future research directions.

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“…Recent works [44][45][46] have proved the efficiency of PUF scheme and have shown how the internet of things (IoT) devices in which PUF chips are embedded can be deployed safely in an IoT environment. However, PUF-based security mechanisms are rarely used for UAVs.…”

Section: Related Workmentioning

confidence: 99%

A PUF‐based lightweight authentication and key agreement protocol for smart UAV networks

Zhang

Obaidat

et al. 2021

IET Communications

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With the advancement of information technology and the reduction of costs, the application of unmanned aerial vehicle (UAV) has gradually expanded from the military field to the industrial field and civilian field. It brings great convenience to people in surveillance, detection, transportation, emergency rescue etc. However, UAVs usually work in harsh natural environments, and their communication security confronts various challenges. Due to UAVs' limited resources, such as computing capability, storage space, and energy, traditional security protection schemes based on complex cryptographic algorithms are not suitable for UAV systems directly. Therefore, a two‐stage lightweight identity authentication and key agreement protocol for UAV is proposed in this paper. The entire process only uses hash and XOR operations, which significantly improves the authentication efficiency. Simultaneously, the physical unclonable function (PUF) is introduced and embedded into the UAV hardware to ensure UAV network communication security when a UAV suffers a physical capture attack. In the paper, the security of the proposed protocol is proved with Burrows–Abadi–Needham (BAN) logic, Real‐or‐Random (ROR) model, and AVISPA simulation tools. An informal security analysis is also provided to illustrate that the protocol satisfies the security requirements of UAV networks. Finally, the protocol is compared with other existing protocols regarding function properties, computation cost, and communication cost, which shows that the proposed protocol has effectiveness and practicality.

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Two-Factor Fuzzy Commitment for Unmanned IoT Devices Security

Cited by 30 publications

References 39 publications

Security-Level Improvement of IoT-Based Systems Using Biometric Features

Security-Level Improvement of IoT-Based Systems Using Biometric Features

Biometrics for Internet-of-Things Security: A Review

A PUF‐based lightweight authentication and key agreement protocol for smart UAV networks

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