In this paper, we propose an energy-efficient surveillance framework for real-time video processing. The proposed framework guarantees the confidentiality of important frames and transfers them for a real-time decision. First, we extract the keyframes from the surveillance video using a lightweight summarization technique based on a fast histogram-clustering approach. Then, we employ an enhanced discrete cosine transform (DCT) compression technique to reduce the size of the extracted key frames. Finally, the cryptosystem encrypts these keyframes using a lightweight image encryption scheme based on discrete fractional random transform (DFRT) and Chen chaotic system. The proposed framework is fast and ensures real-time processing. Furthermore, this framework has the ability to reduce the transmission cost, and storage required during transmitting the video surveillance.
CITATION STYLE
Hamza, R., Hassan, A., & Patil, A. S. (2019). A Lightweight Secure IoT Surveillance Framework Based on DCT-DFRT Algorithms. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 11806 LNCS, pp. 271–278). Springer Verlag. https://doi.org/10.1007/978-3-030-30619-9_19
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