Klimis Ntalianis, Nikos Mastorakis



Encryption of Digitized Humans: Chasing Privacy in the Internet of Things

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chaos, encryption, digitized human, face and body detection, surveillance, Internet of Things


Video surveillance will greatly increase in the era of the Internet of Things, raising severe concerns about people’s privacy. Since video surveillance systems are invasive, it is very challenging to balance between privacy and system’s functionalities. Traditional algorithms for protection of visual privacy usually encrypt and decrypt the whole video, without considering video objects. However this approach has several drawbacks including lack of scalability of access and security. In this paper a digitized human encryption scheme is proposed which overcomes the aforementioned shortcomings. In particular initially a fast face detection algorithm is adopted which provides initial information to the proposed body detection module. Afterwards a chaotic encryption scheme is designed to provide security and fast scrambling of the extracted digitized humans. Experimental results on real world videos exhibit the promising performance of the proposed scheme.

Cite this paper

Klimis Ntalianis, Nikos Mastorakis. (2017) Encryption of Digitized Humans: Chasing Privacy in the Internet of Things. International Journal of Internet of Things and Web Services, 2, 35-41