期刊
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY
卷 16, 期 -, 页码 1014-1028出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TIFS.2020.3026467
关键词
Faces; Compressed sensing; Monitoring; Encryption; Privacy; Watermarking; Reversible privacy preservation; multi-level encryption; compressive sensing; video monitoring
资金
- NSF-Business Finland CVDI Project [3333/31/2018]
- Business Finland Project VIRPA D through Tieto Oyj [7940/31/2017]
Recent advances in intelligent surveillance systems have brought about a new era of smart monitoring in various fields, but also raised privacy concerns. A proposed data encryption method based on Compressive Sensing can obfuscate sensitive parts of documents selectively and provide different levels of reconstruction quality for users of different classes.
Recent advances in intelligent surveillance systems have enabled a new era of smart monitoring in a wide range of applications from health monitoring to homeland security. However, this boom in data gathering, analyzing and sharing brings in also significant privacy concerns. We propose a Compressive Sensing (CS) based data encryption that is capable of both obfuscating selected sensitive parts of documents and compressively sampling, hence encrypting both sensitive and non-sensitive parts of the document. The scheme uses a data hiding technique on CS-encrypted signal to preserve the one-time use obfuscation matrix. The proposed privacy-preserving approach offers a low-cost multi-tier encryption system that provides different levels of reconstruction quality for different classes of users, e.g., semi-authorized, full-authorized. As a case study, we develop a secure video surveillance system and analyze its performance.
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