A resource-efficient multimedia encryption scheme for embedded video sensing system based on unmanned aircraft. (January 2016)

• Record Type: Journal Article
• Authors: Xiao, Chen; Wang, Lifeng; Zhu, Mengjiao; Wang, Wendong
• Is Part Of: Journal of network and computer applications. Volume 59(2016)
• Page Start: 117
• Page End: 125
• Publication Date: 2016-01
• Subjects: Video sensing -- Multimedia big data -- Video encryption -- Generalized information security -- Embedded system; Microcomputers -- Periodicals; Computer networks -- Periodicals; Application software -- Periodicals; Micro-ordinateurs -- Périodiques; Réseaux d'ordinateurs -- Périodiques; Logiciels d'application -- Périodiques; Application software; Computer networks; Microcomputers; Periodicals; 004.05; 004
• DOI: 10.1016/j.jnca.2015.06.021
• Languages: English
• ISSNs: 1084-8045

Abstract

Abstract: Battery-powered unmanned aerial vehicle based video sensing system is more cost-saving and energy-saving than traditional aircraft based systems. However, high-volume real-time sensing data is more vulnerable in unmanned system than that in manned system. Meanwhile, the computation and energy resources in such system are very limited, which restricts the use of complex encryption process on video data. Therefore, how to achieve confidentiality of video data under limited resources efficiently needs to be addressed. Firstly, resources constraints with their development trends in video sensing system are studied. Secondly, an information-utility-value-oriented resource-efficient encryption optimization model under resources constraints is given. Thirdly, based on this model, a video-compression-independent speed-adjustable lightweight encryption scheme with its improved version is proposed. Fourthly, a DSP and ARM based embedded secure video sensing system is designed, and the proposed encryption scheme has been implemented in it. In addition, theoretical analyses based on information theory and experimental analyses on throughputs show that the proposed encryption schemes can meet the real-time requirements of system under the tight resources constraints. Highlights: By studying the resources constraints with their development trends in video sensing system, an information-utility-value-oriented multimedia encryption optimization model under resources constraints is given. A video-compression-independent speed-adjustable lightweight encryption scheme with its improved version based on the previously proposed model is given. A DSP and ARM based embedded secure video sensing system is designed, and the proposed encryption scheme has been implemented in it.