Ensure privacy and security in the process of medical image analysis

Gomathisankaran, Mahadevan; Yuan, Xiaohui; Kamongi, Patrick

doi:10.1109/grc.2013.6740392

Cited by 22 publications

(8 citation statements)

References 7 publications

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“…It allows the cloud to carry out specific types of computations on ciphertext and generate an encrypted result which, when decrypted, matches the result of operations performed on the plaintext. For this reason, it can provide security and privacy for outsourced data computation and storage; for example, in [23], the authors proposed a homomorphic encryption method to enable direct operation over the encoded images. However, homomorphic encryption is not applicable for resourcelimited clients because it is usually performed by the client side with heavy computational overhead.…”

Section: Related Workmentioning

confidence: 99%

Outsourcing chaotic selective image encryption to the cloud with steganography

Xiang

Sun

2015

Digital Signal Processing

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Section: Related Workmentioning

confidence: 99%

Outsourcing chaotic selective image encryption to the cloud with steganography

Xiang

Sun

2015

Digital Signal Processing

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“…It provides privacy and security to the cloud outsourced data and storage. In [13], homomorphic encryption is used to encode the image with direct operation. It suffers mainly from resource constraints since the encryption is performed mostly on the client side with high computational overhead.…”

Section: Related Workmentioning

confidence: 99%

Dynamic virtual cluster cloud security using hybrid steganographic image authentication algorithm

Venkatraman

Geetha

2019

Automatika

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Storing data in a third party cloud system causes serious problems on data confidentiality. Generally, encryption techniques provide data confidentiality but with limited functionality, which occurs due to unsupported actions of encryption operation in cloud storage space. Hence, developing a decentralized secure storage system with multiple support functions like encryption, encoding, and forwarding tends to get complicated, when the storage system spreads. This paper aims mainly on hiding image information using specialized steganographic image authentication (SSIA) algorithm in clustered cloud systems. The SSIA algorithm is applied to virtual elastic clusters in a public cloud platform. Here, the SSIA algorithm embeds the image information using blowfish algorithm and genetic operators. Initially, the blowfish symmetric block encryption is applied over the image and then the genetic operator is applied to re-encrypt the image information. The proposed algorithm provides an improved security than conventional blowfish algorithm in a clustered cloud system. ARTICLE HISTORY

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“…In Gomathisankaran et al [2013], the authors propose the homomorphic encryption scheme based on Residue Number System (RNS) to secure image processing. In fact, the proposed technique allows executing mathematical operations over ciphertext.…”

Section: Related Workmentioning

confidence: 99%

A Secured Data Processing Technique for Effective Utilization of Cloud Computing

Marwan

Kartit

Ouahmane

2018

Journal of Data Mining &Amp; Digital Humanities

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International audience Digital humanities require IT Infrastructure and sophisticated analytical tools, including datavisualization, data mining, statistics, text mining and information retrieval. Regarding funding, tobuild a local data center will necessitate substantial investments. Fortunately, there is another optionthat will help researchers take advantage of these IT services to access, use and share informationeasily. Cloud services ideally offer on-demand software and resources over the Internet to read andanalyze ancient documents. More interestingly, billing system is completely flexible and based onresource usage and Quality of Service (QoS) level. In spite of its multiple advantages, outsourcingcomputations to an external provider arises several challenges. Specifically, security is the majorfactor hindering the widespread acceptance of this new concept. As a case study, we review the use ofcloud computing to process digital images safely. Recently, various solutions have been suggested tosecure data processing in cloud environement. Though, ensuring privacy and high performance needsmore improvements to protect the organization's most sensitive data. To this end, we propose aframework based on segmentation and watermarking techniques to ensure data privacy. In this respect,segementation algorithm is used to to protect client's data against untauhorized access, whilewatermarking method determines and maintains ownership. Consequentely, this framework willincrease the speed of development on ready-to-use digital humanities tools.

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Ensure privacy and security in the process of medical image analysis

Cited by 22 publications

References 7 publications

Outsourcing chaotic selective image encryption to the cloud with steganography

Outsourcing chaotic selective image encryption to the cloud with steganography

Dynamic virtual cluster cloud security using hybrid steganographic image authentication algorithm

A Secured Data Processing Technique for Effective Utilization of Cloud Computing

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