IoT based ECG monitoring system with encryption and authentication in secure data transmission for clinical health care approach

Raheja, Nisha; Manocha, Amit Kumar

doi:10.1016/j.bspc.2022.103481

Cited by 19 publications

(5 citation statements)

References 27 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…MQTTS (MQTT with DTLS security) is deployed to save data from security breaches during transmission between the gateway and edge. One of the data encryption techniques like advanced encryption standard (AES), triple DES (3DES), or elliptic curve cryptography (ECC) can be applied at the edge as per hardware considerations. CoAP with DTLS is used to save data from security breaches during transmission between sensing nodes and the gateway.…”

Section: Resultsmentioning

confidence: 99%

A Literature Review on the Role of Internet of Things, Computer Vision, and Sound Analysis in a Smart Poultry Farm

Goyal,

Yadav,

Mukherjee

2024

ACS Agric. Sci. Technol.

View full text Add to dashboard Cite

The rapid growth of human population and frequent changes in environmental conditions pose challenges in providing nutrient-rich food to the current population. The demand for poultry products is increasing exponentially as they are a good source of low-cost proteins. Ensuring the well-being of birds and delivering nutritious poultry products is essential for both current and future food security needs and sustainable agriculture. This article is motivated by the potential of emerging digital technologies in agriculture to provide innovative solutions to challenges faced by farmers, particularly in poultry farming. It aims to shed light on various issues encountered by farmers like diseases on poultry farms and offers valuable insights for researchers seeking to address these challenges using the advancements in digital technologies. Precision farming in poultry involves leveraging technologies such as the internet of things, artificial intelligence, and edge computing to enhance animal health management. A smart poultry farm maintains the farm environment and detects diseases at early stage in the chickens. The farm resources are utilized optimally in the smart poultry farm. This research work provides a systematic literature review of intelligent systems designed for (i) poultry birds' health and welfare management using technologies like the internet of things (IoT), artificial intelligence, cloud computing, and edge computing and (ii) early disease detection, estimation of weight, and feeding behavior of birds with the use of computer vision and vocalization analysis. This article also explores various sensors employed in the development of IoT infrastructure. It has been demonstrated in the literature that modern digital technologies automate the management operations of poultry farms. As a result, the farmer's income increases, and high-quality food products are available to people at low cost.

show abstract

Section: Resultsmentioning

confidence: 99%

A Literature Review on the Role of Internet of Things, Computer Vision, and Sound Analysis in a Smart Poultry Farm

Goyal,

Yadav,

Mukherjee

2024

ACS Agric. Sci. Technol.

View full text Add to dashboard Cite

show abstract

“…Also, the PSNR values among all the methods increase with the file size. Therefore, it can be said that the proposed EAST performs better as compared to AES [37], DES [39], G-DES, and Standard LSB, which are also more eligible for use in steganography.…”

Section: Analysis Of Psnr Valuementioning

confidence: 98%

“…The protection record is a specific message, picture, visual, or audio file [10]. The proposed EAST method is compared with existing AES [37] , DES [39] , G-DES [38] , and Standard LSB [40] using different indicators such as time efficiency, avalanche effect, PSNR, and file cover size.…”

Section: Introductionmentioning

confidence: 99%

Corrigendum to “A novel trust-based security and privacy model for Internet of Vehicles using encryption and steganography” CAEE, Volume 102, September 2022, 108205

Rathore¹,

Poongodi²,

Saurabh³

et al. 2022

Computers and Electrical Engineering

View full text Add to dashboard Cite

“…The authors used a blockchain system for secure medical data transmission by incorporating neural networks in [ 23 ]. Nisha Rajeja et al [ 25 ] developed a security system for transmitting Electro Cardio Grams using triple data encryption standard and is optimized with water cycle optimization. In [ 27 ], the authors proposed a medical data security system using blockchain technology.…”

Section: Complementary Workmentioning

confidence: 99%

A robust and secured fusion based hybrid medical image watermarking approach using RDWT-DWT-MSVD with Hyperchaotic system-Fibonacci Q Matrix encryption

Sajeer

Mishra

2023

Multimed Tools Appl

View full text Add to dashboard Cite

Digital image watermarking, the process of marking a host image with a watermark, is generally used to authenticate the data. In the medical field, it is of utmost importance to verify the authenticity of the data using Medical Image Watermarking (MIW), especially in e-healthcare applications. Recently, MIW with image fusion, the merging of multimodal images to improve image quality, is being widely utilized to make diagnosis more accessible and precise with the verified data. This paper offers a durable and secure fusion-based hybrid MIW approach. The method initially used Fast Filtering (FF) to merge two medical images from different modalities to form the cover image. A first-level Redundant Discrete Wavelet Transform (RDWT) is employed on this host image to locate the component with the highest entropy. Then a single-level Discrete Wavelet Transform (DWT) is applied to it. It performed a Multi-resolution Singular Value Decomposition (MSVD) on the wavelet decomposed component and the embedding watermark. Finally, a Hyperchaotic System-Fibonacci Q Matrix (HFQM) encryption system was utilized, which increases the watermarked image’s security. Here, using various medical images, the performance of the proposed technique is evaluated. Without any attacks, the approach achieved a maximum Peak Signal to Noise Ratio (PSNR) of 90.31 dB and a Structural Similarity Index Matrix (SSIM) of value 1. Various watermarking assaults were employed to test the proposed method’s resilience. The suggested technique achieved a perfect value of 1 for the Normalised Correlation (NC) for almost all attacks with acceptable imperceptibility, which substantially improves over current procedures. The suggested technique’s average embedding and extraction times are 0.3958 and 0.4721 seconds, respectively, which are pretty short compared to existing approaches.

show abstract

IoT based ECG monitoring system with encryption and authentication in secure data transmission for clinical health care approach

Cited by 19 publications

References 27 publications

A Literature Review on the Role of Internet of Things, Computer Vision, and Sound Analysis in a Smart Poultry Farm

A Literature Review on the Role of Internet of Things, Computer Vision, and Sound Analysis in a Smart Poultry Farm

Corrigendum to “A novel trust-based security and privacy model for Internet of Vehicles using encryption and steganography” CAEE, Volume 102, September 2022, 108205

A robust and secured fusion based hybrid medical image watermarking approach using RDWT-DWT-MSVD with Hyperchaotic system-Fibonacci Q Matrix encryption

Contact Info

Product

Resources

About