Enhanced Data Security and Integrity using Contourlet Transform for Medical Images

Vallathan, G.; Balachandran, K.; Jayanthi, K.

doi:10.17485/ijst/2017/v10i8/104011

Cited by 2 publications

(1 citation statement)

References 15 publications

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“…Several electronic signature patterns are demonstrated to secure the medical information under convinced complexity conventions. In Vallathan et al (2017) and Chang and Chang (2004), the authors have presented a numerous digital signature algorithms using hash function in order to recover the ROI appropriately. Finally an encryption technique has been used to ensure a second level of security.…”

Section: Introductionmentioning

confidence: 99%

An integrated and secured medical data framework for effective tele health applications

Vallathan¹,

Jayanthi

2021

IJAIP

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The rapid progression of healthcare technologies and transmission strategies makes the system reliable to gain, dispense and manage data over medical devices and as well improves conventional hospital information systems (HIS) to deliver effective healthcare services. When the patient medical information is communicated through wireless network, there exists a high chance of modifying the information. Therefore, a futuristic tele healthcare framework has been proposed to ensure the security, data integrity, quality and minimisation of bandwidth requirements for offering complete healthcare services at reduced cost. The proposed framework encompasses the integration of three modules viz. steganography, compression and encryption. This framework also validates the integrity of ROI, furthermore it ensures better compression ratio. Finally, the whole image is encrypted with modified chaotic map encryption in order to afford complete medical data security. Experimental outcomes demonstrate that the proposed framework offers robustness in terms of security, quality and reliability which alleviate misdiagnosis at the physician end in telemedicine applications.

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Section: Introductionmentioning

confidence: 99%