A New Advanced Encryption Standard-Butterfly Effect in Protecting Image of Copyright Piracy

Talirongan, Hidear; Sison, Ariel M.; Medina, Ruji P.

doi:10.1145/3301551.3301603

Cited by 3 publications

(2 citation statements)

References 25 publications

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“…All DICOM readers do not yet support compressed DICOM files. The chance of inadvertently sharing sensitive patient information is a challenge in this method though encryption of EXIF is a solution, again at the cost of increasing the the complexity [16]. DICODerm needs further development to support other modalities such as dermoscopy and optical coherence tomography.…”

Section: Limitationsmentioning

confidence: 99%

DICODerma: A practical approach for metadata management of images in dermatology

Eapen¹,

Kaliyadan²,

Karalikkattil³

2021

Preprint

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Clinical images are vital for diagnosing and monitoring skin diseases, and their importance has increased with the growing popularity of machine learning. Lack of standards has stifled innovation in dermatological imaging, unlike other image-intensive specialties such as radiology. We investigate the meta-requirements for utilizing the popular DICOM standard for metadata management of images in dermatology. We propose practical design solutions and provide open-source tools to integrate dermatologists' workflow with enterprise imaging systems. Using the tool, dermatologists can tag, search, organize and convert clinical images to the DICOM format. We believe that our less disruptive approach will improve the adoption of standards in the specialty.

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Section: Limitationsmentioning

confidence: 99%

DICODerma: A practical approach for metadata management of images in dermatology

Eapen¹,

Kaliyadan²,

Karalikkattil³

2021

Preprint

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“…In this research, they examined five metrics specifically: the graphic study, file size, radiance histogram, assessment by pixel, and show distance. In the file scopes, there were differences wherever it displays the regular worth of the fraction variations to −23.85% from the unique to the encrypt duplicate and −1.45% percentage worth from the innovative to the decrypt duplicate [28]. is paper showed an overview of the latest research studies that are going on in fog computing and the IoT and its uses; it also enlightened the research gaps and directions for further future research studies in the integration of fog computing and IoT (Internet of ings).…”

Section: Literature Reviewmentioning

confidence: 99%

Secure Framework Enhancing AES Algorithm in Cloud Computing

Awan

Shiraz

Hashmi

et al. 2020

Security and Communication Networks

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The tremendous growth of computational clouds has attracted and enabled intensive computation on resource-constrained client devices. Predominantly, smart mobiles are enabled to deploy data and computational intensive applications by leveraging on the demand service model of remote data centres. However, outsourcing personal and confidential data to the remote data servers is challenging for the reason of new issues involved in data privacy and security. Therefore, the traditional advanced encryption standard (AES) algorithm needs to be enhanced in order to cope with the emerging security threats in the cloud environment. This research presents a framework with key features including enhanced security and owner’s data privacy. It modifies the 128 AES algorithm to increase the speed of the encryption process, 1000 blocks per second, by the double round key feature. However, traditionally, there is a single round key with 800 blocks per second. The proposed algorithm involves less power consumption, better load balancing, and enhanced trust and resource management on the network. The proposed framework includes deployment of AES with 16, 32, 64, and 128 plain text bytes. Simulation results are visualized in a way that depicts suitability of the algorithm while achieving particular quality attributes. Results show that the proposed framework minimizes energy consumption by 14.43%, network usage by 11.53%, and delay by 15.67%. Hence, the proposed framework enhances security, minimizes resource utilization, and reduces delay while deploying services of computational clouds.

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DICODerma: A Practical Approach for Metadata Management of Images in Dermatology

2022

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Clinical images are vital for diagnosing and monitoring skin diseases, and their importance has increased with the growing popularity of machine learning. Lack of standards has stifled innovation in dermatological imaging, unlike other image-intensive specialties such as radiology. We investigate the meta-requirements for utilizing the popular DICOM standard for metadata management of images in dermatology. We propose practical design solutions and provide open-source tools to integrate dermatologists’ workflow with enterprise imaging systems. Using the tool, dermatologists can tag, search, organize and convert clinical images to the DICOM format. We believe that our less disruptive approach will improve the adoption of standards in the specialty.

show abstract

A New Advanced Encryption Standard-Butterfly Effect in Protecting Image of Copyright Piracy

Cited by 3 publications

References 25 publications

DICODerma: A practical approach for metadata management of images in dermatology

DICODerma: A practical approach for metadata management of images in dermatology

Secure Framework Enhancing AES Algorithm in Cloud Computing

DICODerma: A Practical Approach for Metadata Management of Images in Dermatology

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