Conventional side-channel attacks have limitations, like being inefficient, facing considerable challenges in gathering and injecting fault data in real-world scenarios, and having limited practicality. In recent year...
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The fact that security is not the main functionality of an IoT device means that even lesser portion of its computing power is available for security. Security measures implemented in traditional computers such as cry...
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ISBN:
(纸本)9781728151465
The fact that security is not the main functionality of an IoT device means that even lesser portion of its computing power is available for security. Security measures implemented in traditional computers such as cryptography, present a challenge from this context when applied in IoT devices. Different algorithms have been presented in the literature that meet IoT requirements and yet maintain the needed security level. Most of the studies have focused on popular algorithms, especially AES finalists. However, more IoT oriented algorithms have been presented to provide better performance in terms of power and capacity, those are known as lightweight cryptographic algorithms. present as one of the lightweight cryptographic algorithms is the main focus of this study. The algorithm has been implemented using MATLAB, ASIC and FPGA flows. Lowest achievable power consumption is 120.9 mu W at throughput of 20.64 Mbps for the ASIC. For the FPGA, best achievable results was for 16 s-box design utilizing a power of 225.95 mW and 352 LUTs.
We present a new reconstruction algorithm for single-photon emission computed tomography. The algorithm is based on the Novikov explicit inversion formula for the attenuated Radon transform with non-uniform attenuatio...
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We present a new reconstruction algorithm for single-photon emission computed tomography. The algorithm is based on the Novikov explicit inversion formula for the attenuated Radon transform with non-uniform attenuation. Our reconstruction technique can be viewed as a generalization of both the filtered backprojection algorithm and the Tretiak-Metz algorithm. We test the performance of the present algorithm in a variety of numerical experiments. Our numerical examples show that the algorithm is capable of accurate image reconstruction even in the case of strongly non-uniform attenuation coefficient, similar to that occurring in a human thorax.
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