A comprehensive survey of security mechanisms in healthcare applications

David, D. Stalin; Jeyachandran, A.

doi:10.1109/cesys.2016.7889823

Cited by 16 publications

(11 citation statements)

References 27 publications

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“…These comes about appear movement and appearance inconsistencies in which the person on foot walk as typical behavior and individual appearing weapon comes about as abnormal behavior [21]. The viable assessment comes about of an ABDS framework are tried by employing a classifier Well in compared with existing models by utilizing five different sorts of execution measurements from Eq [10][11][12][13][14]. The assessment of the ABDS approach with the existing strategy is measured by the ROC bend.…”

Section: Violence Datasetmentioning

confidence: 99%

“…The variation from the norm location gives a modern application, such as programmed acknowledgment of riot or confounded acts within the congested ranges, etc. [14]. In which by analyzing the different case considers within the display world visual investigation of abnormal behavior increments with an increment in development rate [35,36].…”

Section: Introductionmentioning

confidence: 99%

“…The essential approaches to analyze the abnormality in group of individuals is by extricating highlights and after that demonstrating the suspicious conduct. In all location strategies employments movement highlights such as angle picture, surface data, optical stream, or spatial-temporal volume characteristics [3][4][5][6][7][8][9][10][11][12][13][14][15][16]. On these concepts diverse strategies has been proposed for identifying frontal area.…”

Section: Introductionmentioning

confidence: 99%

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An Intellectual Individual Performance Abnormality Discovery System i n Civic Surroundings

David*

2020

IJITEE

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Each year the computerized visual investigation of behavior gives a few key building pieces towards an mental vision framework. The capacity to see individuals and their activities by vision may be a key for a machine to interface vigorously and effectively with a human-computer association world. Due to various conceivable basic applications, "watching people" is at show a standout among the foremost energetic application spaces in vision. One of the foremost applications of visual investigation is peculiarity location in human exercises. An irregularity can show up in different shapes they speak to the different levels of human security issues. The location and following of bizarre exercises in observation have propelled an expanding level of concentration in computer vision.A novel approach to screen an variation from the norm within the open environment, here a generalized system is created for following the deviation by extricating the neighborhood highlights utilizing traits as neighborhood thickness and movement vector. In this moderate highlight movement is affected by typical behavior of people and quick include movement affected by the unusual behavior of people, for way better discovery it includes in computing the movement outline for flow of movement vectors within the scene by coordination the movement and appearances. The test investigation illustrates the viability of this approach in comparison with classifiers which is proficient to run and accomplishes 96% execution, in any case, for compelling approval of the framework is tried with standard UMN datasets and claim datasets.

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Section: Violence Datasetmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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An Intellectual Individual Performance Abnormality Discovery System i n Civic Surroundings

David*

2020

IJITEE

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“…Nevertheless, OC segmentation challenges are comparatively complicated than OD due to the optic cup interlacing with neighboring tissues and blood vessels. Therefore, for an exact diagnosis of glaucoma, improved segmentation techniques are inevitable [23]. The precision of glaucoma diagnosis is enhanced using various images.…”

Section: Introductionmentioning

confidence: 99%

Enhanced Detection of Glaucoma on Ensemble Convolutional Neural Network for Clinical Informatics

David¹,

Selvi²,

Sivaprakash³

et al. 2022

Computers, Materials &Amp; Continua

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Irretrievable loss of vision is the predominant result of Glaucoma in the retina. Recently, multiple approaches have paid attention to the automatic detection of glaucoma on fundus images. Due to the interlace of blood vessels and the herculean task involved in glaucoma detection, the exactly affected site of the optic disc of whether small or big size cup, is deemed challenging. Spatially Based Ellipse Fitting Curve Model (SBEFCM) classification is suggested based on the Ensemble for a reliable diagnosis of Glaucoma in the Optic Cup (OC) and Optic Disc (OD) boundary correspondingly. This research deploys the Ensemble Convolutional Neural Network (CNN) classification for classifying Glaucoma or Diabetes Retinopathy (DR). The detection of the boundary between the OC and the OD is performed by the SBEFCM, which is the latest weighted ellipse fitting model. The SBEFCM that enhances and widens the multi-ellipse fitting technique is proposed here. There is a preprocessing of input fundus image besides segmentation of blood vessels to avoid interlacing surrounding tissues and blood vessels. The ascertaining of OC and OD boundary, which characterized many output factors for glaucoma detection, has been developed by Ensemble CNN classification, which includes detecting sensitivity, specificity, precision, and Area Under the receiver operating characteristic Curve (AUC) values accurately by an innovative SBEFCM. In terms of contrast, the proposed Ensemble CNN significantly outperformed the current methods.

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“…To achieve the security requirements, various approaches can be deployed [ 18 , 19 ]. Many surveys have dealt with the security approaches to secure WBAN ([ 20 , 21 , 22 , 23 , 24 , 25 , 26 , 27 , 28 , 29 , 30 , 31 , 32 , 33 , 34 , 35 , 36 , 37 , 38 , 39 ]). However, none of them has addressed the trust management for WBAN.…”

Section: Introductionmentioning

confidence: 99%

A Survey on Trust Management for WBAN: Investigations and Future Directions

Ayed

Fourati

Fares

2020

Sensors

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The rapid uptake of the Wireless Body Area Networks (WBAN) and their services poses unprecedented security requirements. WBAN are evolving to support these requirements. Fulfilling these tasks is challenging as their mobile context is increasingly complex, heterogeneous, and evolving. One potential solution to meet the WBAN security requirements is trust management that helps to reach a more secure and adaptable WBAN environment. Accordingly, this article aims to serve as a brief survey of trust management approaches within intra-WBAN and inter-WBAN. For that, we first summarize trust management concepts, discuss WBAN challenges and classify the attacks on WBAN trust management models. Subsequently, we detail and compare the existing trust based approaches in a WBAN context. We pinpoint their limitations and provide a new classification of these different approaches. We also propose a set of best practices that may help the reader to build a robust and an efficient trust management framework. We complete this survey by highlighting the open future directions and perspectives for research.

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A comprehensive survey of security mechanisms in healthcare applications

Cited by 16 publications

References 27 publications

An Intellectual Individual Performance Abnormality Discovery System i n Civic Surroundings

An Intellectual Individual Performance Abnormality Discovery System i n Civic Surroundings

Enhanced Detection of Glaucoma on Ensemble Convolutional Neural Network for Clinical Informatics

A Survey on Trust Management for WBAN: Investigations and Future Directions

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