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author:

Ding, R. (Ding, R..) [1] | Zhong, H. (Zhong, H..) [2] | Ma, J. (Ma, J..) [3] | Liu, X. (Liu, X..) [4] | Ning, J. (Ning, J..) [5]

Indexed by:

Scopus

Abstract:

The Internet of Things (IoT)-based health system provides patients and doctors a lot of conveniences, doctors can diagnose patients in time through monitored health data. However, doctors may make a wrong diagnosis of the patient's illness, if the health data stored on the cloud is tampered or lost due to an external attack or power failure. Therefore, it is of great importance to verify the integrity of the patient's health data stored on the cloud. Existing data integrity verification technologies usually need data owner to compute data authenticators for verification, but sensors on a patient in IoT-based health system have limited computation ability, thus existing data integrity verification technologies are not very suitable in IoT-based health system. This paper proposes a lightweight secure IoT-based health storage system to solve this problem. The proposed system employs edge server to compute data authenticators and verify data integrity, greatly reduces the system's computation cost and management burden of third party verifier. Security analysis and performance evaluation show the proposed system is feasible. © 2014 IEEE.

Keyword:

Data integrity; edge computing; health storage system; lightweight verification

Community:

  • [ 1 ] [Ding, R.]Institutes of Physical Science and Information Technology, Anhui University, Hefei, 230039, China
  • [ 2 ] [Zhong, H.]Institutes of Physical Science and Information Technology, Anhui University, Hefei, 230039, China
  • [ 3 ] [Ma, J.]Institutes of Physical Science and Information Technology, Anhui University, Hefei, 230039, China
  • [ 4 ] [Liu, X.]College of Mathematics and Computer Science, Fuzhou University, Fuzhou, 350116, China
  • [ 5 ] [Ning, J.]Institutes of Physical Science and Information Technology, Anhui University, Hefei, 230039, China

Reprint 's Address:

  • [Liu, X.]College of Mathematics and Computer Science, Fuzhou UniversityChina

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Source :

IEEE Internet of Things Journal

ISSN: 2327-4662

Year: 2019

Issue: 5

Volume: 6

Page: 8393-8405

9 . 9 3 6

JCR@2019

8 . 2 0 0

JCR@2023

ESI HC Threshold:162

JCR Journal Grade:1

CAS Journal Grade:1

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 0

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