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Secured Health Monitoring System in Mobile Cloud Computing

Mohammed Azhar, Maddikunta Laxman
2014 International Journal of Computer Trends and Technology  
This thesis is to notice this main crisis and design a cloud supported secured storage mobile monitoring system of health to store the security of the involved people and their information.  ...  Mobile health (mHealth) monitoring in cloud, which imposes the cloud computing technologies and prevailing mobile communications to give feedback decision support, has been taken as a radical approach  ...  SYSTEM DEVELOPMENT: Branch structure of tree Program: Normally the branching programs described as, which contains classification of binary or decision trees as a different case.  ... 
doi:10.14445/22312803/ijctt-v13p129 fatcat:f5amou7tybdxliwfmgjtawhlyi

Privacy-Preserving Healthcare System for Clinical Decision-Support and Emergency Call Systems

Alia Alabdulkarim, Mznah Al-Rodhaan, Yuan Tian
2017 Communications and Network  
., Al-Rodhaan, M. and Tian, Y. (2017) Privacy-Preserving Healthcare System for Clinical Decision-Support and Emergency Call Systems. Communications and Network, 9,  ...  The first is a privacy-preserving clinical decision-support system. The second subsystem is a privacy-preserving Mobile Health Social Network (MHSN).  ...  The former provides a privacy-preserving CDSS with decision trees, and the latter provides a privacy-preserving MHSN for monitoring patients' current condition from a distance.  ... 
doi:10.4236/cn.2017.94018 fatcat:27opdu435fg3xfegjiebz7nu4u

Privacy-Preserving Electrocardiogram Monitoring for Intelligent Arrhythmia Detection

Junggab Son, Juyoung Park, Heekuck Oh, Md Bhuiyan, Junbeom Hur, Kyungtae Kang
2017 Sensors  
successfully preserving privacy and securing communications among the involved entities.  ...  The decision support server analyzes the heart activity, using the Pan-Tompkins algorithm to detect heartbeats and a decision tree to classify them.  ...  Acknowledgments: This research was partially supported by the Ministry of Science, ICT and  ... 
doi:10.3390/s17061360 pmid:28604628 pmcid:PMC5492002 fatcat:3yiku2nhg5cb7dpv5jz2xvm6fu


Revathy Swaminathan, Arunkumar Thangavelu
2018 International Journal of Engineering & Technology  
Ensuring the privacy for the big data stored in a cloud system is one of the demanding and critical process in recent days.  ...  At last, the privacy of user's personal information and other details are protected with the use of a Modified Incognito Anonymization based Privacy Preservation (MIA-PP) algorithm.  ...  This system comprises the working stages of data preprocessing, rule generation, classification, and privacy preservation.  ... 
doi:10.14419/ijet.v7i3.10.15613 fatcat:o35indycjzcjtfkz5paw26zo7e

Private Decision Tree-based Disease Detection with Energy-Efficiency at Resource-constrained Medical User in Mobile Healthcare Network

Sona Alex, K. J. Dhanaraj, P. P. Deepthi
2022 IEEE Access  
Hence, a fully homomorphic encryption (FHE) scheme for private decision tree-based disease detection is required to preserve the privacy of both the user and the health cloud.  ...  Hence privacy-preserving computing is needed for disease detection services, such as decision tree-based disease detection in MHN.  ...  PROPOSED PRIVATE DECISION TREE-BASED CLASSIFICATION WITH LOW RESOURCE CONSUMPTION (PDTC-LRC) This work attempts to develop an efficient and privacypreserving decision tree-based disease detection with  ... 
doi:10.1109/access.2022.3149771 fatcat:tg4n7nsqarduxap55easmejgee

Guest Editorial Special Issue on Smart IoT System: Opportunities by Linking Cloud, Edge, and AI

Wangdong Yang, Laurence T. Yang, A. T. Chronopoulos
2021 IEEE Internet of Things Journal  
In the article "Efficient and privacy-preserving decision tree classification for health monitoring systems," Liang et al. propose an efficient and privacy-preserving decision tree classification scheme  ...  (PPDT) for health monitoring systems.  ...  terms of architecture, offloading, security and privacy, and applications.  ... 
doi:10.1109/jiot.2021.3092440 fatcat:psdtaq4pdnemvd4zofkj5k3djm

PPSDT: A Novel Privacy-Preserving Single Decision Tree Algorithm for Clinical Decision-Support Systems Using IoT Devices

Alia Alabdulkarim, Mznah Al-Rodhaan, Tinghuai Ma, Yuan Tian
2019 Sensors  
In this paper, we propose a privacy-preserving clinical decision-support system based on our novel privacy-preserving single decision tree algorithm for diagnosing new symptoms without exposing patients  ...  Clinical Decision-Support Systems are used to improve the quality of health services by increasing the diagnosis pace and accuracy.  ...  We propose a model for a Privacy-Preserving Clinical Decision-Support System (PPCDSS) which allows hospitals to privately generate the classification model of the clinical decision-support system and to  ... 
doi:10.3390/s19010142 fatcat:da2pequqvjcflfrbgq5hzyko54

Extremely Randomized Trees with Privacy Preservation for Distributed Structured Health Data

Amin Aminifar, Matin Shokri, Fazle Rabbi, Violet Ka I Pun, Yngve Lamo
2022 IEEE Access  
In this paper, we propose a distributed extremely randomized tree algorithm for learning with privacy preservation.  ...  We present the implementation of our technique on a cloud platform and demonstrate its performance based on medical data, including the mental health datasets associated with the Norwegian INTROducing  ...  ACKNOWLEDGEMENT This research is supported by INTROducing Mental health through Adaptive Technology (INTROMAT) project.  ... 
doi:10.1109/access.2022.3141709 fatcat:3jwyizm3irei7o35ib7zyckhpa

Biometrics and Biosecurity

Tai-hoon Kim, Sabah Mohammed, Carlos Ramos, Osvaldo Gervasi, Wai-Chi Fang, Adrian Stoica
2012 Journal of Biomedicine and Biotechnology  
In "Secure remote health monitoring with unreliable mobile devices," authors designed a framework for secure remote health-monitoring systems.  ...  Paper "Advanced pulse oximetry system for remote monitoring and management" proposes an advanced pulse oximetry system for remote monitoring and management.  ... 
doi:10.1155/2012/684815 pmid:22988424 pmcid:PMC3440843 fatcat:nzkoxndwknfbtobkwvmkfnm4uq

Privacy Preserving Data Mining for Healthcare Record: A Survey of Algorithms

Musavir Hassan, Muheet Ahmed Butt, Majid Zaman
2017 International Journal of Trend in Scientific Research and Development  
In this paper, we present a survey of the state algorithms that have been proposed for publishing medical data in a privacy preserving way.  ...  Various algorithms have been des privacy-preserving data mining that can be classified into three categories i.e., privacy by policy, privacy by statistics, and privacy by cryptography, however, the privacy  ...  and efficiency of health care delivery.  ... 
doi:10.31142/ijtsrd7191 fatcat:xcwrsotqcfe7balytme5o6wohe

Achieve Privacy-Preserving Priority Classification on Patient Health Data in Remote eHealthcare System

Guoming Wang, Rongxing Lu, Yong Liang Guan
2019 IEEE Access  
In this paper, we propose an efficient and privacy-preserving priority classification scheme, named PPC, for classifying patients' encrypted data at the WBAN-gateway in a remote eHealthcare system.  ...  For this reason, many privacy-preserving schemes have been proposed in recent years. However, the efficiency and accuracy of those privacy-preserving schemes become a big issue to be solved.  ...  In this paper, aiming at solving the above challenges, we propose an efficient and privacy-preserving priority classification (PPC) on patient health data in remote eHealthcare system, which allows authenticated  ... 
doi:10.1109/access.2019.2891775 fatcat:6gjo3zg7vfdo5m6ejcsup7oa6m

IEEE Access Special Section Editorial: Toward Smart Cities With IoT Based on Crowdsensing

Kun Wang, Zhibo Wang, Ye-Qiong Song, Dejun Yang, Shibo He, Wei Wang
2021 IEEE Access  
Based on GAF graphs and CNN-LSTM combination models, the researchers design a monitoring system of IoT based on C5.0 decision tree and time-series analysis to improve the classification accuracy and the  ...  The article ''IoT equipment monitoring system based on C5.0 decision tree and time-series analysis,'' by Zhu et al., studies abnormal traffic and vulnerability attack monitoring in IoT devices.  ... 
doi:10.1109/access.2021.3106756 fatcat:eumlh6bkdfdtfaw2tu23cvegci

A Comprehensive Survey of the Internet of Things (IoT) and Edge Computing in Healthcare

Fatima Alshehri, Ghulam Muhammad
2020 IEEE Access  
Health care is one of the basic pillars of human need, and smart health care is projected to produce several billion dollars in revenue in the near future.  ...  Here, we present a comprehensive survey of IoT-and IoMTbased edge-intelligent smart health care, mainly focusing on journal articles published between 2014 and 2020.  ...  In [61] , an energy-efficient smart-health system based on fuzzy classification was proposed for seizure detection.  ... 
doi:10.1109/access.2020.3047960 fatcat:adbkd6gfg5dtnigtumglmtsecu

Privacy Preserving Disease Treatment & Complication Prediction System (PDTCPS)

Qinghan Xue, Mooi Choo Chuah, Yingying Chen
2016 Proceedings of the 11th ACM on Asia Conference on Computer and Communications Security - ASIA CCS '16  
P DT CP S uses a tree-based structure to boost search efficiency, a wildcard approach to support fuzzy keyword search, and a Bloom-filter to improve search accuracy and storage efficiency.  ...  In this paper, we present a privacy-preserving disease treatment, complication prediction scheme (P DT CP S), which allows authorized users to conduct searches for disease diagnosis, personalized treatments  ...  Privacy-preserving Health Data Protection Privacy-preserving health data storage is studied by Sun et al.  ... 
doi:10.1145/2897845.2897893 dblp:conf/ccs/XueCC16 fatcat:fcrexu4abbdpve6hqgj46c5wqq

Privacy-preserving data integration and sharing

Chris Clifton, Murat Kantarcioǧlu, AnHai Doan, Gunther Schadow, Jaideep Vaidya, Ahmed Elmagarmid, Dan Suciu
2004 Proceedings of the 9th ACM SIGMOD workshop on Research issues in data mining and knowledge discovery - DMKD '04  
Techniques such as privacy-preserving data mining promises privacy, but assume data has integration has been accomplished.  ...  agencies, monitoring health crises, and improving homeland security.  ...  Machine learning methods, such as decision tree induction, neural networks, instance-based learning, clustering, are widely used for pattern classification.  ... 
doi:10.1145/1008694.1008698 dblp:conf/dmkd/CliftonKDSVES04 fatcat:5zotyfq2ercnrkonhc2hh5rgd4
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