Secure magnetic resonance image transmission and tumor detection techniques

Sebastian, Arya; Rajanbabu, Delson Therambath

doi:10.1109/iccpct.2016.7530277

Cited by 6 publications

(4 citation statements)

References 1 publication

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“…It provide hyperchaotic behavior when the control parameters are a = 10, b = 8/3, c = 28, d = −1 with initial values x 0 = 12, y 0 = 22, z 0 = 31 and w 0 = 4 and the Lyapunov exponents of the system are λ 1 = 0.3362, λ 2 = 0.1568, λ 3 = 0, λ 4 = −15.1724. A hyperchaotic behavior is observed with two positive values among all four Lyapunov exponents [46].…”

Section: Fractional-order Hyperchaotic Systemmentioning

confidence: 97%

Correcting Errors in Color Image Encryption Algorithm Based on Fault Tolerance Technique

2021

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Security standards have been raised through modern multimedia communications technology, which allows for enormous progress in security. Modern multimedia communication technologies are concerned with fault tolerance technique and information security. As a primary method, there is widespread use of image encryption to protect image information security. Over the past few years, image encryption has paid more attention to combining DNA technologies in order to increase security. The objective here is to provide a new method for correcting color image encryption errors due to the uncertainty of DNA computing by using the fractional order hyperchaotic Lorenz system. To increase randomness, the proposed cryptosystem is applied to the three plain image channels: Red, Green, and Blue. Several methods were compared including the following: entropy, correlation, key sensitivity, key space, data loss attacks, speed computation, Number of Pixel changing rate (NPCR), and Unified Average Change Intensity randomness (UACI) tests. Consequently, the proposed scheme is very secure against a variety of cryptographic attacks.

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Section: Fractional-order Hyperchaotic Systemmentioning

confidence: 97%

Correcting Errors in Color Image Encryption Algorithm Based on Fault Tolerance Technique

2021

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“…A lot of work has been done in the field of DNA cryptography, but it is still new in the field of healthcare data. Other famous encrypting algorithms have been used in the past, like the RSA algorithm for encrypting and decrypting the MRI images to determine the tumor type with the K-Means clustering algorithm (Sebastian and Delson, 2016). DNA cryptography can be used to combine other IT technologies and algorithms; it has been applied with deep learning and the Needleman–Wunsch (NW) algorithm for a key generation (Kalsi et al ., 2018).…”

Section: Literature Reviewmentioning

confidence: 99%

Securing and managing healthcare data generated by intelligent blockchain systems on cloud networks through DNA cryptography

Kaur

Jameel

Alam

et al. 2023

JEIM

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PurposeThe purpose of this paper is to ensure the anonymity and security of health data and improve the integrity and authenticity among patients, doctors and insurance providers. Simulation and validation algorithms are proposed in this work to ensure the proper implementation of the distributed system to secure and manage healthcare data. The author also aims to examine the methodology of Wireless Body Area Networks and how it contributes to the health monitoring system.Design/methodology/approachWireless Body Area Network (WBAN) plays an important role in patient health data monitoring. In this paper, a novel framework is designed and proposed to generate data by the sensor machines and be stored in the cloud, and the transactions can be secured by blockchain. DNA cryptography is used in the framework to encrypt the hashes of the blocks. The proposed framework will ensure the anonymity and security of the health data and improve the integrity and authenticity among the patients, doctors and insurance providers.FindingsCloud Computing and Distributed Networking have transformed the IT industry and their amalgamation with intelligent systems would revolutionize the Healthcare Industry. The data being generated by devices is huge and storing it in the cloud environment would be a better decision. However, the privacy and security of healthcare data are still a concern because medical data is very confidential and desires to be safe and secure. The blockchain is a promising distributed network that ensures the security aspect of the data and makes the transactions authentic and transparent. In this work, the data is collected using various sensor devices and is transmitted to the cloud through the WBAN via the blockchain network.Research limitations/implicationsIn this paper, a framework for securing and managing the healthcare data generated by intelligent systems is proposed. As the data generated by these devices are heterogeneous and huge in nature, the cloud environment is chosen for its storage and analysis. Therefore, the transactions to and from the cloud are secured by using the blockchain-based distributed network.Practical implicationsThe target end-users of our system are the patients to keep themselves informed and healthy, healthcare providers to monitor the conditions of their patients virtually, and the health insurance providers to have a track of the history of the patients, so that no fraudulent claims can be made.Originality/valueThe target end-users of our system are the patients for keeping themselves informed and healthy, healthcare providers for monitoring the conditions of their patients virtually and the health insurance providers to have a track of the history of the patients, so that no fraudulent claims can be made.

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“…Some existing studies are carried out for this aim to determine its level of resistance to data loss and noise influence in medical images. 30 (14).…”

Section: Entropymentioning

confidence: 99%

Multilevel security for medical image using heterogeneous chaotic map and deoxyribonucleic acid sequence operations

Akkasaligar

Biradar

2022

Concurrency and Computation

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Summary In telemedicine and e‐health system, the medical images are transmitted through telecommunication. In telecommunication, medical images are transmitted through open source networks. The hackers can tamper or add noise to medical images. Diagnosing the correct disease from the altered medical images is highly impossible. Hence indulge with security, confidentiality and integrity for medical images. In this work, heterogeneous hyper chaotic maps, deoxyribonucleic acid (DNA) cryptography and SHA‐512 is proposed in a new multilevel cryptosystem. The multilevel permutation is performed using heterogeneous chaotic map and zigzag transform. The multilevel diffusion is performed using DNA multiplication and DNA ADD operation. To verify the integrity the SHA‐512 is employed. All DNA coding, and DNA decoding rules are employed dynamically to generate the encrypted medical image. The introduced multilevel cryptosystem provide better security analysis for medical image transmission. The proposed method is implemented in MATLAB software. The performance of proposed approach is associated with existing approaches in terms of evaluating parameters like NPCR (number of pixel changing rate), UACI (unified average changed intensity), correlation coefficient and time taken in seconds. Hence it proves the performance and efficiency of the proposed method are high as compared to the existing methods. The proposed approach also improves the security level and offers integrity and confidentiality, and provide better medical image for encryption with less time complexity.

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Secure magnetic resonance image transmission and tumor detection techniques

Cited by 6 publications

References 1 publication

Correcting Errors in Color Image Encryption Algorithm Based on Fault Tolerance Technique

Correcting Errors in Color Image Encryption Algorithm Based on Fault Tolerance Technique

Securing and managing healthcare data generated by intelligent blockchain systems on cloud networks through DNA cryptography

Multilevel security for medical image using heterogeneous chaotic map and deoxyribonucleic acid sequence operations

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