Image Encryption for mobile devices

Shankar, T.; Sahoo, G.; Niranjan, S. K.

doi:10.1109/icccct.2010.5670766

Cited by 10 publications

(5 citation statements)

References 8 publications

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“…Many studies and research have been conducted in the last decade due to the importance of picture encryption methods in the process of enhancing security, and the urgent need for them has arisen since the growth of the Android environment; therefore, in this section, we will examine some research in the field of encryption. In this paper, authors [5], Presented a method for encoding images using "elliptic curve coding" methodology. The applied technique uses an effective approach to address image coding issues, with the original image represented as a collection of pieces that produced a two-dimensional image on the coordinates where the ECC system was employed.…”

Section: Survey Of Literaturementioning

confidence: 99%

Subject Review:Encryptionof Image in the Android Environment in Various Algorithms

Ridha¹,

Jabar²,

AL-Qinani³

2021

IJERAT

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In the vast and still evolving the world of digital transfer, data/image security is one of the most important considerations. One method is to encrypt files. One of the well-known mechanisms for maintaining privacy of pictures to a trustworthy, unrestricted public, the media as a result, this medium is vulnerable to attacks, Encryption algorithms that are effective are a must for data transfer that is stable a variety of techniques. This paper is a study of research authors in the field of image encryption for the Android Environment for different algorithms, with a research review for the period (2010)(2011)(2012)(2013)(2014)(2015)(2016)(2017)(2018)(2019)(2020)(2021) to see how the field of image encryption has progressed and the best algorithms in their performance.

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Section: Survey Of Literaturementioning

confidence: 99%

Subject Review:Encryptionof Image in the Android Environment in Various Algorithms

Ridha¹,

Jabar²,

AL-Qinani³

2021

IJERAT

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“…Miller and Koblitz proposed in 2010 a method for encoding images for mobile devices using the publickey (Elliptic Curve Cryptography (ECC) algorithm for encryption [10]. This algorithm has been implemented as a way to solve problems related to image encryption, which can be used to ensure the protection of images in mobile devices .…”

Section: Introductionmentioning

confidence: 99%

Preserving Image Encryption for Smart Android System

ALdosarry¹,

ALotaibi²,

ghobari³

et al. 2021

TEM Journal

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This paper proposes an image encryption technique for smart phones devices to encrypt images and then upload on the cloud. The process of retrieving and decrypting images will be under full control by the user. Also, if the user wants to retrieve an image, he can retrieve it completely, but not as he needed. Our research can solve two main issues in current mobile applications which will protect photo that will be decrypt by the user only, and will help the user to recover the photo needed. An encryption mechanism based on hybrid between elementary cellular automata (ECA) and RC4 algorithms are used to encrypt images on the smart android mobiles. Experimental results on the application showed that our proposed encryption technique used for image encryption has a good quality en cryption with secure requirements.

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“…In the recent decades, some researches related to protecting privacy information for mobile services on different techniques, such as the redesign of the architecture of network [6], the non-interactive privacy-preserving protocol for image similarity computation [7], the data sharing protocol by using a new cryptographic primitive named online/offline attribute-based proxy re-encryption, and the transform key technique [8], have been developed. Also, some encryption methods based on cryptography, such as homomorphic encryption [9], elliptic curve cryptography based encryption [10] and chaotic oscillation theory-based encryption [11,12], were designed and applied to provide the confidentiality of patients' health information.…”

Section: Introductionmentioning

confidence: 99%

Hamming Code Strategy for Medical Image Sharing

Chang

Bai

et al. 2020

ASI

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In medical practice, the scanned image of the patient between the patient and the doctor is confidential. If info is stored on a single server and the server is successfully attacked, it is possible to expose confidential information. Password encryption and data authentication are commonly used to protect patient data, however, encryption and data authentication are computationally expensive and take time to execute on a mobile device. In addition, it is not easy for the patient details related to medical images to leak if the hacked image are not visual.Therefore, in this paper, we propose a way to make medical images remain untouched in this sense. We use our method to quickly create two shadows from two medical images and store them on two servers. Revealing a shadow image does nothing to compromise the confidentiality of a patient’s health. This method is based on Hamming code. With low computational cost, the proposed scheme is suitable for tablet, pamphlets and other mobile devices.

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Image Encryption for mobile devices

Cited by 10 publications

References 8 publications

Subject Review:Encryptionof Image in the Android Environment in Various Algorithms

Subject Review:Encryptionof Image in the Android Environment in Various Algorithms

Preserving Image Encryption for Smart Android System

Hamming Code Strategy for Medical Image Sharing

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