Energy Efficient Secured Sharing of Intraoral Gingival Information in Digital Way (EESS-IGI)

Sarkar, Arindam; Dey, Joydeep; Bhowmik, Anirban; Mandal, Jyotsna Kumar; Karforma, Sunil

doi:10.1007/978-981-13-1343-1_49

Cited by 9 publications

(12 citation statements)

References 13 publications

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“…The key issue as stated in the earlier section has been addressed in this proposed paper. Structurally similar perceptrons are taken at the patient’s and the dentist’s Telecare system [ 8 , 9 ]. The input set and the random weight vectors are same at both ends to achieve the synchronization.…”

Section: Proposed Methodologymentioning

confidence: 99%

“…If the symmetric key used for encryption is somehow compromised by the attackers then the entire patients’ data will be leaked to the unauthorized agents. The implementation of artificial neural networks (ANN) [ 6 , 7 ] is a secure option for data transmission inside the Telecare E-Health system [ 8 , 9 ]. A perceptron is a type of artificial neural network which has been considered in this proposed technique.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Newer post-COVID perspective: Teledental encryption by de-multiplexed perceptrons

Dey¹,

Sarkar²,

Karforma

2021

Int. j. inf. tecnol.

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Section: Proposed Methodologymentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Newer post-COVID perspective: Teledental encryption by de-multiplexed perceptrons

Dey¹,

Sarkar²,

Karforma

2021

Int. j. inf. tecnol.

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“…Csirmaz L. et al [35] had investigated the secret online sharing methods. Sarkar A. et al [36] had used the gingival data transmission through secret sharing in the teledental domain. Their scheme has the resistance against the malicious attackers.…”

Section: Secret Sharingmentioning

confidence: 99%

Cryptographic Engineering on COVID-19 Telemedicine: An Intelligent Transmission Through Recurrent Relation Based Session Key

DEY¹,

BHOWMIK²,

Sarkar

et al. 2021

Preprint

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Constraints imposed due to the cameo of the novel coronavirus has abruptly changed the operative mode of medical sciences. Most of the hospitals have migrated towards the telemedicine mode of services of the non-invasive and non-emergency patients during the COVID-19 time. The advent of telemedicine services has remotely rendered health services to different types of patients from their quarantines. Here, the patients’ medical data has to be transmitted to different physicians / doctors. Such data are to be secured with a view to restore its privacy clause. Cardio vascular diseases (CVDs) are a kind of cardiac disease related to blockage of arteries and veins. This paper presents an intelligent and secured transmission of cardiac reports of the patients through recurrence relation based session key. Such reports were made through the following confusion matrix operations. The beauty of this technique is that confusion matrices are transferred to specified number of cardiologists with further secret shares encapsulation. The case of robustness checking, transparency and cryptographic engineering has been tested under different inputs. Different types of result and its analysis proves the efficiency of the proposed technique. It will provide more security in medical data transmission, especially in the needy hours of COVID-19 pandemic.

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“…The primary task is to decompose the binary file of any size into number of shares. And on the reverse terminal end, if we perform bitwise OR operation upon number of shares then only the original data will be reconstructed, not even upon ( − 1) shares [13]. Every share must have some missing bits and hence those missing bits can be replaced by ( − 1) shares exactly.…”

Section: Proposed Mask Generationmentioning

confidence: 99%

Computational Intelligence based Lossless Regeneration (CILR) of Blocked Gingivitis Intraoral Image Transportation

Bhowmik¹,

Dey²,

Sarkar

et al. 2019

IJ-AI

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<p>This paper presented that an intraoral image has been wrapped during wireless transportation with an encryption tool with an added essence of lossless regeneration property. Threshold based cryptographic transportation has provided the construction of reliable and robust medical data communication system. The accumulation of threshold shares only would result to the formation of the intraoral gingivitis image at the receivers’ end. The proposed technique dealt with the generation of n number of partial shares by creating a unique frame structure by the dentist / physician. Additional feature has been proposed on the computational lossless transportation.The existing techniques cause a high computational complexity. The proposed technique ensured the lossless regeneration property while blocked gingivitis image sharing. Filling of bits have been incorporated to ensure the static sized homogeneous blocks of intraoral gingivitis image. A graphical masking method had been deployed, followed by successive decryption procedure on minimum threshold shares that ensure lossless data regeneration. This can guide the dental treatment with enhanced accuracy. Different types of statistical testing like entropy analysis and histogram analysis confirms the exhibition of authenticity, confidentiality, and integrity of our proposed technique.</p>

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Energy Efficient Secured Sharing of Intraoral Gingival Information in Digital Way (EESS-IGI)

Cited by 9 publications

References 13 publications

Newer post-COVID perspective: Teledental encryption by de-multiplexed perceptrons

Newer post-COVID perspective: Teledental encryption by de-multiplexed perceptrons

Cryptographic Engineering on COVID-19 Telemedicine: An Intelligent Transmission Through Recurrent Relation Based Session Key

Computational Intelligence based Lossless Regeneration (CILR) of Blocked Gingivitis Intraoral Image Transportation

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