Call for Papers:Vol.11 Issue.3

Submission
Last date		 28-Jun-2025
Acceptance Status In One Day
Paper Publish In Two Days
Submit ManuScript

News & Updates

Submit Article

Dear Authors, Article publish in our journal for Volume-11,Issue-3. For article submission on below link: Submit Manuscript


Join As Board

Dear Reviewer, You can join our Reviewer team without given any charges in our journal. Submit Details on below link: Join As Board


Paper Publication Charges

IJARIIE APP
Download Android App

For Authors

Archives

IJARIIE Board

Downloads

Android App

Download IJARIIE APP

Authors

Title: :  Secure Healthcare Monitoring System with Emergency Prediction and Symptoms-Matching for Mobile HealthCare Social Network
PaperId: :  4024
Published in:   International Journal Of Advance Research And Innovative Ideas In Education
Publisher:   IJARIIE
e-ISSN:   2395-4396
Volume/Issue:    Volume 3 Issue 2 2017
DUI:    16.0415/IJARIIE-4024
Licence: :   IJARIIE is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

Author NameAuthor Institute
Melvina J.S.M.Panimalar Engineeing College
T. Lincy ThangammalPanimalar Engineeing College
S.MythireyiPanimalar Engineeing College
Kavitha SubramaniPanimalar Engineeing College
S. ManishaPanimalar Engineering College

Abstract

Computer Engineering
cross domain handshake, body sensor nodes, hierarchical identity based cryptography, mobile healthcare social network, emergency prediction
With high speed developments of sensor, wireless and mobile communication technologies, Mobile Healthcare Social Networks (MHSNs) have emerged as a popular means of communication in healthcare services. With the help of MHSNs, patients can use their mobile devices to securely share their experiences, broaden their understanding of the illness or symptoms, form a supportive network, and transmit information between users and other stake holders (e.g. medical center). The handshake scheme is a significant cryptographic mechanism, which can provide secure communication in MHSNs (e.g. anonymity and mutual authentication between users, such as patients). The main aim of this project is to detect the possibility of health issues that may occur in a patient by constant monitoring and emergency prediction and to establish a secure framework for handshaking scheme in Mobile Healthcare Social Network (MHSN). Monitoring is done using Wireless Body Area Networking (WBAN) technology which makes use of Body Sensor Nodes (BSN).It is based on hierarchical identity based cryptography. The MHSN is set up using an efficient Cross Domain Handshake Scheme (CDHS) that allows symptoms matching within MHSNs.

Citations

Copy and paste a formatted citation or use one of the links to import into a bibliography manager and reference.

IJARIIE Melvina J.S.M., T. Lincy Thangammal, S.Mythireyi, Kavitha Subramani, and S. Manisha. "Secure Healthcare Monitoring System with Emergency Prediction and Symptoms-Matching for Mobile HealthCare Social Network" International Journal Of Advance Research And Innovative Ideas In Education Volume 3 Issue 2 2017 Page 259-263
MLA Melvina J.S.M., T. Lincy Thangammal, S.Mythireyi, Kavitha Subramani, and S. Manisha. "Secure Healthcare Monitoring System with Emergency Prediction and Symptoms-Matching for Mobile HealthCare Social Network." International Journal Of Advance Research And Innovative Ideas In Education 3.2(2017) : 259-263.
APA Melvina J.S.M., T. Lincy Thangammal, S.Mythireyi, Kavitha Subramani, & S. Manisha. (2017). Secure Healthcare Monitoring System with Emergency Prediction and Symptoms-Matching for Mobile HealthCare Social Network. International Journal Of Advance Research And Innovative Ideas In Education, 3(2), 259-263.
Chicago Melvina J.S.M., T. Lincy Thangammal, S.Mythireyi, Kavitha Subramani, and S. Manisha. "Secure Healthcare Monitoring System with Emergency Prediction and Symptoms-Matching for Mobile HealthCare Social Network." International Journal Of Advance Research And Innovative Ideas In Education 3, no. 2 (2017) : 259-263.
Oxford Melvina J.S.M., T. Lincy Thangammal, S.Mythireyi, Kavitha Subramani, and S. Manisha. 'Secure Healthcare Monitoring System with Emergency Prediction and Symptoms-Matching for Mobile HealthCare Social Network', International Journal Of Advance Research And Innovative Ideas In Education, vol. 3, no. 2, 2017, p. 259-263. Available from IJARIIE, http://ijariie.com/AdminUploadPdf/Secure_Healthcare_Monitoring_System_with_Emergency_Prediction_and_Symptoms_Matching__for_Mobile_HealthCare_Social_Network_ijariie2024.pdf (Accessed : 05 May 2017).
Harvard Melvina J.S.M., T. Lincy Thangammal, S.Mythireyi, Kavitha Subramani, and S. Manisha. (2017) 'Secure Healthcare Monitoring System with Emergency Prediction and Symptoms-Matching for Mobile HealthCare Social Network', International Journal Of Advance Research And Innovative Ideas In Education, 3(2), pp. 259-263IJARIIE [Online]. Available at: http://ijariie.com/AdminUploadPdf/Secure_Healthcare_Monitoring_System_with_Emergency_Prediction_and_Symptoms_Matching__for_Mobile_HealthCare_Social_Network_ijariie2024.pdf (Accessed : 05 May 2017)
IEEE Melvina J.S.M., T. Lincy Thangammal, S.Mythireyi, Kavitha Subramani, and S. Manisha, "Secure Healthcare Monitoring System with Emergency Prediction and Symptoms-Matching for Mobile HealthCare Social Network," International Journal Of Advance Research And Innovative Ideas In Education, vol. 3, no. 2, pp. 259-263, Mar-App 2017. [Online]. Available: http://ijariie.com/AdminUploadPdf/Secure_Healthcare_Monitoring_System_with_Emergency_Prediction_and_Symptoms_Matching__for_Mobile_HealthCare_Social_Network_ijariie2024.pdf [Accessed : 05 May 2017].
Turabian Melvina J.S.M., T. Lincy Thangammal, S.Mythireyi, Kavitha Subramani, and S. Manisha. "Secure Healthcare Monitoring System with Emergency Prediction and Symptoms-Matching for Mobile HealthCare Social Network." International Journal Of Advance Research And Innovative Ideas In Education [Online]. volume 3 number 2 (05 May 2017).
Vancouver Melvina J.S.M., T. Lincy Thangammal, S.Mythireyi, Kavitha Subramani, and S. Manisha. Secure Healthcare Monitoring System with Emergency Prediction and Symptoms-Matching for Mobile HealthCare Social Network. International Journal Of Advance Research And Innovative Ideas In Education [Internet]. 2017 [Cited : 05 May 2017]; 3(2) : 259-263. Available from: http://ijariie.com/AdminUploadPdf/Secure_Healthcare_Monitoring_System_with_Emergency_Prediction_and_Symptoms_Matching__for_Mobile_HealthCare_Social_Network_ijariie2024.pdf
BibTex EndNote RefMan RefWorks

Number Of Downloads


Last download on 5/5/2017 6:44:40 AM

Save in Google Drive

Similar-Paper

TitleArea of ResearchAuther NameAction
Real-Time Hand Gesture Recognition with Finger Counting (Using OpenCV and Mediapipe)Computer scienceBhumika Sahu Download
Diffie Hellman Key Exchange Algorithm with Man in the middle attack (MITM)Computer Science EngineeringMahesh Purushottam Gajbhiye Download
AN IMPROVED ATTRIBUTE BASED ACCESS CONTROL IN PERSONAL HEALTH RECORDS USING CLOUD WITH CONSTANT CIPHERTEXT LENGTHScience and TechBitrus Isahaka Dzarma Download
Driver Drowsiness Detection System By Measuring EAR and MARComputer Engineering Zoya Fatema Khan Download
Cloud-Based File Storage and Sharing Web ApplicationComputer Science & EngineeringMohammed Aadil Download
STUDYNEST: ONLINE LEARNING PLATFORM WITH AI RECOMMENDATION SYSTEMComputer Science and Engineering Urvashi Suresh Waghmare Download
Leveraging AWS for Developing and Hosting a Dynamic Food Ordering Web ApplicationComputer EngineeringAfshin Khanam Download
Edge-to-Cloud Synergy: An Autoencoder-GAN Framework for Anomaly Detection in Healthcare Records, Financial Statements, and Secure Cloud StorageInformation TechnologyKarthik Kushala Download
E-Commerce Fraud Detection Based on Machine Learning TechniquesComputer Science EngneeringVikram Ankush Ade Download
Detection of Phishing Website Using Gradient Boosting AlgorithmComputer Science and EngineeringYAWALKAR PRASAD PRAMOD Download
Property Dealing WebComputer Science EngineeringYash Chaudhari Download
Reinforcement Learning for the Evolution of Antimicrobial Nano formulationsmachine learningMadhusudan Download
SecuraVault: A secured blockchain based cloud storage systemComputer Engineering Anshika Jaiswal Download
Autoimmune Disease Detection in women Using Machine Learning Approachcomputer science EngineeringJ. L. V. S. Download
Medicine Overdose Detection System Using Machine LearningComputer Science EngineeringDr.Somashekhar B M Download
12