Image encryption using HC-128 and HC-256 stream ciphers

Jolfaei, Alireza; Vizandan, Ahmadreza; Mirghadri, Abdolrasoul

doi:10.1504/ijesdf.2012.045388

Cited by 11 publications

(7 citation statements)

References 18 publications

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“…Let X t and X t , respectively, be the original data and the reconstructed data in the controllers. The MAE and MRE for the two data matrices are [29]…”

Section: A Experimental Setupmentioning

confidence: 99%

Preserving Privacy in the Internet of Connected Vehicles

Ghane

Jolfaei

Kulik

et al. 2021

IEEE Trans. Intell. Transport. Syst.

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Today's vehicles are advancing from stand-alone transportation means to vehicle-to-vehicle, and vehicle-toinfrastructure communications enabled devices which are able to exchange data through the transportation communication infrastructure. As the IoT and data remain intrinsically linked together, the fast-changing mobility landscape of intent-based networking for the Internet of connected vehicles comes with a great risk of data security and privacy violations. This paper considers the privacy issues in the distributed edge computing, in which the data is communicated between a number of vehicles in the IoT layer and potentially untrusted edge controllers at the edge of the network. The sensory data communicated by the vehicles contain sensitive information, such as location and speed, which could violate the users' privacy if they are leaked with no perturbation. Recent studies suggest mechanisms for randomizing the stream of data to ensure individuals' privacy. Although the past works on differential privacy provide a strong privacy guarantee, they are limited to applications where communication parties are trusted and/or there is no correlation between the users or the featured of sensory data. In this paper, we address this gap by proposing a differentially private data streaming system that adds a correlated noise in the vehicle's side (IoT layer) rather than the transportation infrastructure. Also, our system is able to ensure a strong privacy level over time. The proposed mechanism is data-adaptive and scales the noise with respect to the data correlation. Our extensive experiments demonstrate that the utility of the output generated by our method outperforms the recent approaches.Index Terms-Differential privacy, edge computing, intelligent transportation system, intent-based networking, Internet of connected vehicles.

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“…Let X t and X t , respectively, be the original data and the reconstructed data in the controllers. The MAE and MRE for the two data matrices are [29]…”

Section: A Experimental Setupmentioning

confidence: 99%

Preserving Privacy in the Internet of Connected Vehicles

Ghane

Jolfaei

Kulik

et al. 2021

IEEE Trans. Intell. Transport. Syst.

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“…Despite having HC-128 and HC-256 stream ciphers available to research community, there are no known hardware implementation efforts using this cipher. However, there is one interesting paper that uses the HC-256 stream cipher for image encryption, which can be found in the paper by Jolfaei et al (2012).…”

Section: Hc-256mentioning

confidence: 99%

A comprehensive survey of modern symmetric cryptographic solutions for resource constrained environments

Kong

Ang

Seng

2015

Journal of Network and Computer Applications

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“…In Mirghadri (2010b, 2010c) and Jolfaei et al (2012aJolfaei et al ( , 2012b, Jolfaei et al investigated the application of fast stream ciphers, including A5/1 (Ekdahl and Johansson, 2003), W7 (Jolfaei and Mirghadri, 2010b) and some of the eSTREAM finalists, such as Salsa20 (Bernstein, 2008a) and HC (Wu, 2008a), for the syntax-aware image encryption. These ciphers work on binary streams.…”

Section: Related Workmentioning

confidence: 99%

Preserving the confidentiality of digital images using a chaotic encryption scheme

Jolfaei

Matinfar²,

Mirghadri³

2015

IJESDF

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Confidentiality of digital images is an important requirement for many multimedia applications and services. To maintain confidentiality, encryption of digital images is essential. Digital images are usually very large and encrypting such bulky data induces many performance overheads, which can be too expensive for real-time applications in resource constrained environments. In this paper, we propose a chaotic image encryption scheme which satisfies the need for both lightweightedness and security. To justify the security and efficiency, the new cipher was evaluated using a series of statistical tests. These tests included a visual testing and a histogram analysis, a randomness analysis, a correlation analysis, an entropy analysis and an image encryption quality analysis. Based on all analyses and experimental results, it is concluded that the proposed scheme is effective, efficient and trustworthy and therefore can be adopted for image encryption.

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Image encryption using HC-128 and HC-256 stream ciphers

Cited by 11 publications

References 18 publications

Preserving Privacy in the Internet of Connected Vehicles

Preserving Privacy in the Internet of Connected Vehicles

A comprehensive survey of modern symmetric cryptographic solutions for resource constrained environments

Preserving the confidentiality of digital images using a chaotic encryption scheme

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