Region-Based Selective Encryption for Medical Imaging

Ou, Yang; Sur, Chul; Rhee, Kyung Hyune

doi:10.1007/978-3-540-73814-5_6

Cited by 26 publications

(16 citation statements)

References 12 publications

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“…Ou et al [6] attempted to reduce the AES encryption processing time using selective encryption by encrypting parts of the image. The level of security is decreased, however, with some regions of the image still visible.…”

Section: Literature Reviewmentioning

confidence: 99%

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An adaptive encryption based genetic algorithms for medical images

Mahmood

Dony

Areibi

2013

2013 IEEE International Workshop on Machine Learning for Signal Processing (MLSP)

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This paper presents a novel efficient symmetric encryption technique that can be applied to medical images. It uses genetic algorithm which makes it highly adaptive. Standard DI-COM images are segmented into a number of regions based on pixel intensity and entropy measurements. The novelty of the selective encryption method lies in the use of several encryption algorithms with variable key lengths to control the processing time required for the encryption process and the robustness quality. Encryption processing time, robustness of the encrypted image and the side information required for transmission of the decryption key are the main parameters for optimization. The trade-off among them stems from the variation in processing time with the key length of encryption algorithm, image size, number of regions and the side information to reduce processing time while maintaining a high level of robustness.

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Section: Literature Reviewmentioning

confidence: 99%

“…The delay depends on the medical image size and complexity of the security algorithm. The image size determines time required for the encryption process, with larger images having longer processing time [6]. The data size has a significant impact on encryption schemes because it determines the speed of the process.…”

Section: Introductionmentioning

confidence: 99%

An adaptive encryption based genetic algorithms for medical images

Mahmood

Dony

Areibi

2013

2013 IEEE International Workshop on Machine Learning for Signal Processing (MLSP)

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“…In the proposed technique use the Cipher Block chaining mode in the AES algorithm to encrypt the data 16 .…”

Section: Encryption Block Cipher Algorithmmentioning

confidence: 99%

Hybrid Baker Map With Aes in Cipher Block Chaining Mode in Medical Images

Amudha¹,

C²,

Sridevi³

2017

Int. Res. J. Pharm.

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While transferring the medical images from one place to another place lot of security issues are raised. The security issues are confidentiality, integrity and authenticity. Combined encryption and watermarking technique used to verify the integrity and authenticity of medical images. Encryption algorithms are operated in stream cipher and block cipher mode. Advanced Encryption Standard (AES) algorithm is one of the block cipher algorithm. The proposed method uses Advanced Encryption Standard Algorithm in Cipher Block Chaining (CBC) mode. To increase the security, the proposed technique uses baker key in the original image before applying the AES algorithm. Based on the baker key the image pixel position has been changed. To increase the data hiding capacity this technique embeds the information in the spatial domain and encrypted domain. The main objective of this method is to provide integrity and authenticity of the medical images at the same time increase the information embedding capacity. Experimental security analysis is taken for the 8-bit ultrasound images and 16-bit Positron Emission Tomography (PET) images.

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“…Encryption methods for medical images in the compression domain are mainly based on selective encryption such as the concept of the Advanced Encryption Standard (AES) to encrypt the selective JPEG2000 bitstream [5], Region of Interest (ROI) [6], or sensitive precincts within medical images [7]. Different from other visual data, medical images may contain some important visual information of diseases or afflictions to the human body.…”

Section: Introductionmentioning

confidence: 99%

A lossless encryption method for medical images using edge maps

Zhou

Panetta

Agaian

2009

2009 Annual International Conference of the IEEE Engineering in Medicine and Biology Society

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Image encryption is an effective approach for providing security and privacy protection for medical images. This paper introduces a new lossless approach, called EdgeCrypt, to encrypt medical images using the information contained within an edge map. The algorithm can fully protect the selected objects/regions within medical images or the entire medical images. It can also encrypt other types of images such as grayscale images or color images. The algorithm can be used for privacy protection in the real-time medical applications such as wireless medical networking and mobile medical services.

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Region-Based Selective Encryption for Medical Imaging

Cited by 26 publications

References 12 publications

An adaptive encryption based genetic algorithms for medical images

An adaptive encryption based genetic algorithms for medical images

Hybrid Baker Map With Aes in Cipher Block Chaining Mode in Medical Images

A lossless encryption method for medical images using edge maps

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