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| Title | Puftap-Iot: Puf-Based Three-Factor Authentication Protocol In Iot Environment Focused On Sensing Devices |
|---|---|
| ID_Doc | 43749 |
| Authors | Lee J.; Oh J.; Kwon D.; Kim M.; Yu S.; Jho N.-S.; Park Y. |
| Year | 2022 |
| Published | Sensors, 22, 18 |
| DOI | http://dx.doi.org/10.3390/s22187075 |
| Abstract | In IoT-based environments, smart services can be provided to users under various environments, such as smart homes, smart factories, smart cities, smart transportation, and healthcare, by utilizing sensing devices. Nevertheless, a series of security problems may arise because of the nature of the wireless channel in the Wireless Sensor Network (WSN) for utilizing IoT services. Authentication and key agreements are essential elements for providing secure services in WSNs. Accordingly, two-factor and three-factor-based authentication protocol research is being actively conducted. However, IoT service users can be vulnerable to ID/password pair guessing attacks by setting easy-to-remember identities and passwords. In addition, sensors and sensing devices deployed in IoT environments are vulnerable to capture attacks. To address this issue, in this paper, we analyze the protocols of Chunka et al., Amintoosi et al., and Hajian et al. and describe their security vulnerabilities. Moreover, this paper introduces PUF and honey list techniques with three-factor authentication to design protocols resistant to ID/password pair guessing, brute-force, and capture attacks. Accordingly, we introduce PUFTAP-IoT, which can provide secure services in the IoT environment. To prove the security of PUFTAP-IoT, we perform formal analyses through Burrows Abadi Needham (BAN) logic, Real-Or-Random (ROR) model, and scyther simulation tools. In addition, we demonstrate the efficiency of the protocol compared with other authentication protocols in terms of security, computational cost, and communication cost, showing that it can provide secure services in IoT environments. © 2022 by the authors. |
| Author Keywords | authentication; BAN logic; biometrics; honey list; IoT; PUF; ROR model; scyther; WSN |
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