Abstract
Low-cost IoT (Internet of Things) devices are crucial for building the next generation pervasive and ubiquitous networks. However, each of these devices can also become a target entry point for hackers. The existing encryption and authentication schemes based on AES and DES require high computation platform, which may not exist in all IoT devices. In this paper, PUF (Physical Unclonable Function) is proposed to be embedded in hardware to provide device identification. The authentication process is secured by chaotic communication. The main advantages of applying chaos theory in securing IoT devices are the cost effectiveness and efficiency as it only needs low power signal to control chaotic dynamics. The simulation results also demonstrated the performance of the proposed method in terms of cost and security. The cost analysis showed that the hardware overhead is greatly reduced. Thus, it can be applied in simple IoT devices.
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