Cover Image
QR Code

Adaptive Risk Prediction and Anonymous Secured Communication in MANET for Medical Informatics.

Location-based services (LBS) and information security is a major concern in communication system.With the increasing popularity of location based services more attention is paid to preserve location information to protect the data. In order to protect and preserve the MANET and location based servi...

Full description

Published in:Journal of Medical Systems Vol. 43; no. 5
Main Authors: Ambidi, Naveena, Katta, Rama Linga Reddy
Format: equations & formulas tables/charts Journal Article
Published: Springer Nature May2019
Online Access:View this record in EBSCOhost
fields @attributes:
  recordID: 1
pdfLink:
plink: https://search.ebscohost.com/login.aspx?direct=true&db=ccm&AN=136129200&site=ehost-live
header:
  @attributes:
    shortDbName: ccm
    uiTerm: 136129200
    longDbName: CINAHL Complete
    uiTag: AN
  controlInfo:
    bkinfo:
    dissinfo:
    jinfo:
      jid:
        01485598
        4N0
      jtl: Journal of Medical Systems
      issn: 01485598
      maglogo: N
    pubinfo:
      dt: May2019
      vid: 43
      iid: 5
      pid: 237
      pub: Springer Nature
      place: New York, New York
    artinfo:
      ui:
        136129200
        136129200
        136129200
        10.1007/s10916-019-1231-7
        136129200
      ppct: 1
      formats:
        fmt:
          – @attributes:
              type: T
          – @attributes:
              type: P
      tig:
        atl: Adaptive Risk Prediction and Anonymous Secured Communication in MANET for Medical Informatics.
      aug:
        au:
          Ambidi, Naveena
          Katta, Rama Linga Reddy
        affil: G. Narayanamma Institute of Technology and Science, Hyderabad, India
      sug:
        subj:
          Medical Informatics
          Computer Communication Networks
          Decision Trees
          Risk Assessment Methods
          Communication
          Models, Theoretical
          Smartphone
          Vulnerability
      ab: Location-based services (LBS) and information security is a major concern in communication system.With the increasing popularity of location based services more attention is paid to preserve location information to protect the data. In order to protect and preserve the MANET and location based services, there are various existing location based anonymity protocols such as k-anonymity location based, but these protocols are more overhead due to the dynamic mobility nature of ad-hoc networks. In this paper we proposed an Adaptive Risk Prediction and Anonymous Secured Communication protocol to predict the risk before processing anonymous communication. The proposed protocol estimates the risk against adjacent nodes and estimates the vulnerability paths using hidden markov model and decision tree. The decision tree determines the evidence to identify the trusted paths. The anonymous communication message authentication scheme assigns the anonymous communication and organize the secured authentication scheme. We simulated the network by considering different attacks to determine the efficiency of Adaptive Risk Prediction and Anonymous Secured Communication using NS2 simulator.
      pubtype: Academic Journal
      doctype:
        equations & formulas
        tables/charts
        Journal Article
      ougenre: Article
    language: English
    refInfo:
    holdings:
      @attributes:
        islocal: N