The deployment of wireless sensor networks (WSN) in an untended environment and the openness of the wireless channel bring various security threats to WSN. The resource limitations of the sensor nodes make the conventional security systems less attractive for WSN. Moreover, conventional cryptography alone cannot ensure the desired security against the physical attacks on sensor nodes. Physically unclonable function (PUF) is an emerging hardware security primitive that provides low-cost hardware security exploiting the unique inherent randomness of a device. In this article, we have proposed an authentication and key sharing scheme for the WSN integrating Pedersen’s verifiable secret sharing (Pedersen’s VSS) and Shamir’s secret sharing (Shamir’s SS) scheme with PUF which ensure the desired security with low overhead. The security analysis depicts the resilience of the proposed scheme against different active, passive and physical attacks. Also, the performance analysis shows that the proposed scheme possesses low computation, communication and storage overhead. The scheme only needs to store a polynomial number of PUF challenge-response pairs to the user node. The sink or senor nodes do not require storing any secret key. Finally, the comparison with the previous protocols establishes the dominance of the proposed scheme to use in WSN.
Secure authentication of any
Internet-of-Things (IoT)
device becomes the utmost necessity due to the lack of specifically designed IoT standards and intrinsic vulnerabilities with limited resources and heterogeneous technologies. Despite the suitability of
arbiter physically unclonable function (APUF)
among other PUF variants for the IoT applications, implementing it on
field-programmable gate arrays (FPGAs)
is challenging. This work presents the complete characterization of the
path changing switch (PCS)
1
based APUF on two different families of FPGA, like Spartan-3E (90 nm CMOS) and Artix-7 (28 nm CMOS). A comprehensive study of the existing tuning concept for
programmable delay logic (PDL)
based APUF implemented on FPGA is presented, leading to establishment of its practical infeasibility. We investigate the entropy, randomness properties of the PCS based APUF suitable for practical applications, and the effect of temperature variation signifying the adequate tolerance against environmental variation. The XOR composition of PCS based APUF is introduced to boost performance and security. The robustness of the PCS based APUF against machine learning based modeling attack is evaluated, showing similar characteristics as the conventional APUF. Experimental results validate the efficacy of PCS based APUF with a little hardware footprint removing the paucity of lightweight security primitive for IoT.
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