Image scrambling based on chaotic sequences and Veginère cipher

Li, Shanshan; Zhao, Yinghai; Qu, Bayi; Jiang-an, Wang

doi:10.1007/s11042-012-1281-z

Cited by 29 publications

(13 citation statements)

References 7 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%

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Visual privacy protection methods: A survey

Padilla-López

Chaaraoui

Flórez-Revuelta

2015

Expert Systems with Applications

186

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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%

“…This key can be used to de-scramble the image when necessary. A similar approach that sorts the chaotic sequence as Vigenère cipher is proposed by Li et al (2013). Carrillo et al (2010) proposed an encryption algorithm working in the spatial domain.…”

Section: Encryption Of Videos and Imagesmentioning

confidence: 99%

Visual privacy protection methods: A survey

Padilla-López

Chaaraoui

Flórez-Revuelta

2015

Expert Systems with Applications

186

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“…To verify the feasibility of the above known-plaintext attack, a lot of experiments have been carried out under the same key settings as employed in [15,Sec. 4.1].…”

Section: The Proposed Known-plaintext Attackmentioning

confidence: 99%

“…Aims to bypass the intractable dynamical degradation problem, Li et al proposed a novel image encryption algorithm based on a 2D coupled logistic map [15]. Instead of using quantized output sequences of the employed chaotic map, which is a common method employed by most chaotic ciphers, two random sequences are generated by means of sorting the chaotic outputs.…”

Section: Introductionmentioning

confidence: 99%

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Cryptanalyzing an image encryption algorithm based on scrambling and Veginère cipher

Zeng

Ren-ren

Zhang

et al. 2015

Multimed Tools Appl

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Recently, an image encryption algorithm based on scrambling and Veginère cipher has been proposed. However, it was soon cryptanalyzed by Zhang et al. using a combination of chosen-plaintext attack and differential attack. This paper briefly reviews the two attack methods proposed by Zhang et al. and outlines the mathematical interpretations of them. Based on their work, we present an improved chosen-plaintext attack to further reduce the number of chosen-plaintexts required, which is proved to be optimal. Moreover, it is found that an elaborately designed known-plaintex attack can efficiently compromise the image cipher under study. This finding is verified by both mathematical analysis and numerical simulations. The cryptanalyzing techniques described in this paper may provide some insights for designing secure and efficient multimedia ciphers.

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