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A secure data parallel processing based embedded system for internet of things computer vision using field programmable gate array devices
Author(s) -
Qureshi Kashif Naseer,
Qayyum Sundus,
Ul Islam Muhammad Najam,
Jeon Gwanggil
Publication year - 2021
Publication title -
international journal of circuit theory and applications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.364
H-Index - 52
eISSN - 1097-007X
pISSN - 0098-9886
DOI - 10.1002/cta.2964
Subject(s) - advanced encryption standard , computer science , encryption , embedded system , field (mathematics) , field programmable gate array , nist , authentication (law) , computer hardware , computer network , computer security , mathematics , natural language processing , pure mathematics
Summary Technologies and new standards have converted the traditional networks and systems into new smart cities integrated networks. Different factors are behind to build these new networks in terms of hardware, software, standards, technologies, and infrastructure. Internet of things (IoT) is one of the popular network types based on small and portable devices. Some of the IoT applications are more critical and sensitive like smart healthcare systems wherein time data delivery is needed without any delay. Keeping in view the criticality of such applications, this study proposes a secure storage, processing and transmission (SSPT) technique. This technique is based on two modules named Advanced Encryption Standard (AES) in Electronic Code Book (ECB) mode and AES in Ciphered Message Authentication Code (CMAC) mode. In the first module, the AES is implemented in ECB mode to provide encryption to IoT computer vision data. In the second module, the AES is integrated with the CMAC algorithm to provide encryption, integrity, and authentication. The said modules are implemented in a field programmable gate array (FPGA) device which acts as a secure edge computing device. The SSPT is verified by the test vectors given by international standards such as the National Institute of Standards and Technologies (NIST) and Federal Information Processing Standards (FIPS) which are adaptable, proficient, and vigorous as compared to previous techniques.

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