Securing Multimedia Content Using Joint Compression and Encryption

Pande, Amit; Zambreno, Joseph

doi:10.1007/978-1-4471-4459-5_3

Cited by 14 publications

(17 citation statements)

References 35 publications

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“…In this section, a review of commonly used protection methods to protect visual privacy is presented. Wagstaff ( Continued on next page Spanos & Maples (1995), Macq & Quisquater (1995), Agi & Gong (1996), Tang (1996), Qiao et al (1997), Zeng & Lei (2003), Yang et al (2004), Boult (2005), Yabuta et al (2005), Yabuta et al (2006), , , Chattopadhyay & Boult (2007), Baaziz et al (2007), Raju et al (2008), Dufaux & Ebrahimi (2008a), Dufaux & Ebrahimi (2008b), Xiangdong et al (2008), Carrillo et al (2010), Dufaux & Ebrahimi (2010), Tong et al (2010), Tong et al (2011), Dufaux (2011), Sohn et al (2011), Pande & Zambreno (2013, Li et al (2013), Ra et al (2013) Redaction: K-same family 7 Newton et al (2005), Gross et al (2006a), Gross et al (2006b), Bitouk et al (2008), Gross et al (2009), De la Hunty et al (2010, Lin et al (2012) Redaction: Object / people removal 22 Kokaram et al (1995), Igehy & Pereira (1997), Masnou & Morel (1998), Morse & Schwartzwald (1998), Efros & Leung (1999)…”

Section: Protection Methodsmentioning

confidence: 99%

Visual privacy protection methods: A survey

Padilla-López

Chaaraoui

Flórez-Revuelta

2015

Expert Systems with Applications

185

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Recent advances in computer vision technologies have made possible the development of intelligent monitoring systems for video surveillance and ambientassisted living. By using this technology, these systems are able to automatically interpret visual data from the environment and perform tasks that would have been unthinkable years ago. These achievements represent a radical improvement but they also suppose a new threat to individual's privacy. The new capabilities of such systems give them the ability to collect and index a huge amount of private information about each individual. Next-generation systems have to solve this issue in order to obtain the users' acceptance. Therefore, there is a need for mechanisms or tools to protect and preserve people's privacy. This paper seeks to clarify how privacy can be protected in imagery data, so as a main contribution a comprehensive classification of the protection methods for visual privacy as well as an up-to-date review of them are provided. A survey of the existing privacy-aware intelligent monitoring systems and a valuable discussion of important aspects of visual privacy are also provided.

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Section: Protection Methodsmentioning

confidence: 99%

Visual privacy protection methods: A survey

Padilla-López

Chaaraoui

Flórez-Revuelta

2015

Expert Systems with Applications

185

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“…Such joint compression and encryption framework is achieved either by embedding key-controlled confusion and diffusion in these source-coding schemes or by incorporating compression in cryptographic algorithms [3][4][5][6][7].…”

Section: Introductionmentioning

confidence: 99%

Chaos Based Joint Compression and Encryption Framework for End-to-End Communication Systems

Goel

Raman

Gupta

2014

Advances in Multimedia

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Augmentation in communication and coding technology has made encryption an integral part of secure multimedia communication systems. Security solution for end-to-end image transmission requires content adaptation at intermediate nodes, which consumes significant resources to decrypt, process, and reencrypt the secured data. To save the computational resources, this paper proposes a network-friendly encryption technique, which can be implemented in transparency to content adaptation techniques. The proposed encryption technique maintains the compression efficiency of underlying entropy coder, and enables the processing of encrypted data. Thorough analysis of the technique, as regards various standard evaluation parameters and attack scenarios, demonstrates its ability to withstand known-plaintext, ciphertext-only, and approximation attacks. This justifies its implementation for secure image transmission for end-to-end communication systems.

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“…In order to obtain high level multimedia communication security, multimedia encryption methods can be used to scramble the selective part of multimedia in spatial and transform domains, respectively. In this case, the frequency transform can increase burden of server [19]. Chaotic system is a good way favorable to secure multimedia communications because of their significant features such as parameter sensitivity and ergodicity.…”

Section: Figure 6 Multimedia Content Encryption Architecturementioning

confidence: 99%