Privacy-preserving data integrity verification by using lightweight streaming authenticated data structures for healthcare cyber–physical system

2020 ◽  
Vol 108 ◽  
pp. 1287-1296 ◽  
Author(s):  
Jian Xu ◽  
Laiwen Wei ◽  
Wei Wu ◽  
Andi Wang ◽  
Yu Zhang ◽  
...  
Keyword(s):  
Data Structures ◽  
Physical System ◽  
Data Integrity ◽  
Privacy Preserving ◽  
Cyber Physical System ◽  
Integrity Verification ◽  
Authenticated Data Structures

Privacy Preserving Data Integrity Verification in Cloud

2014 ◽  
Vol 1 (2) ◽  
pp. 25-31
Author(s):  
T. Subha ◽  
◽  
S. Jayashri ◽  
Keyword(s):  
Data Integrity ◽  
Privacy Preserving ◽  
Integrity Verification

SDIVIP2: shared data integrity verification with identity privacy preserving in mobile clouds

2015 ◽  
Vol 28 (10) ◽  
pp. 2877-2888 ◽  
Author(s):  
Yong Yu ◽  
Jianbing Ni ◽  
Qi Xia ◽  
Xiaofen Wang ◽  
Haomiao Yang ◽  
...  
Keyword(s):  
Data Integrity ◽  
Privacy Preserving ◽  
Integrity Verification ◽  
Shared Data ◽  
Identity Privacy

An Internet of Things-Based Privacy-Preserving Pub/Sub Model Using Block Chains

2020 ◽  
Vol 17 (8) ◽  
pp. 3526-3529
Author(s):  
J. Refonaa ◽  
BillaKoushik Chandra ◽  
CH V. V. S. Bhargav ◽  
S. L. JanyShabu ◽  
S. Dhamodaran ◽  
...  
Keyword(s):  
Internet Of Things ◽  
General Condition ◽  
Physical System ◽  
Privacy Preserving ◽  
Cyber Physical System ◽  
Wide Scope ◽  
Web Of Things ◽  
Key Innovation

In IOT, cyber physical system has made an extraordinary progress in a wide scope of dispersed joining situations. In the digital physical system, interconnected detecting gadgets gather information in the general condition and send information to every single intrigued hub through the system, in this manner sharing all hub information. This procedure can be actualized by utilizing a pub/subsystem. Distribute buy in (pub-sub) systems give proficient extensible data trade between data makers (distributers) and data customers (endorsers). The pub-sub worldview decouples data makers from buyers. Distributers can concentrate on producing data and endorsers on utilizing it, as opposed to on monitoring one another. Data spread and conveyance depends on content as opposed to on the personality or address of the makers and purchasers. The exponential develop of web of things applications prompts proposing haze registering structure that is geospatially dispersed and inertness delicate. Since off beat dispersal of data is the primary issue for run of the mill circulated applications, distribute buy in system is acquainted as a key innovation with give nonconcurrent correspondences to disseminated systems. We propose a privacy preserving substance based distribute/buy in conspire with differential security to accomplish proficient privacy preserving validation, information uprightness, and distribute buy in classification. This system exhibits the primary extensive and down to earth usage of an ongoing privacy preserving pub-sub system.

Implementation of a Cyber-Physical System Using Wireless Sensor Networks for Monitoring Patients

2015 ◽  
Vol 1 ◽  
pp. 26 ◽  
Author(s):  
Vo Que Son ◽  
Do Tan A
Keyword(s):  
Wireless Sensor Networks ◽  
Sensor Networks ◽  
Physical System ◽  
Patient Monitoring ◽  
High Reliability ◽  
Vital Signs ◽  
Wireless Sensor ◽  
Cyber Physical System ◽  
Self Administration ◽  
Hospital Units

Sensing, distributed computation and wireless communication are the essential building components of a Cyber-Physical System (CPS). Having many advantages such as mobility, low power, multi-hop routing, low latency, self-administration, utonomous data acquisition, and fault tolerance, Wireless Sensor Networks (WSNs) have gone beyond the scope of monitoring the environment and can be a way to support CPS. This paper presents the design, deployment, and empirical study of an eHealth system, which can remotely monitor vital signs from patients such as body temperature, blood pressure, SPO2, and heart rate. The primary contribution of this paper is the measurements of the proposed eHealth device that assesses the feasibility of WSNs for patient monitoring in hospitals in two aspects of communication and clinical sensing. Moreover, both simulation and experiment are used to investigate the performance of the design in many aspects such as networking reliability, sensing reliability, or end-to-end delay. The results show that the network achieved high reliability - nearly 97% while the sensing reliability of the vital signs can be obtained at approximately 98%. This indicates the feasibility and promise of using WSNs for continuous patient monitoring and clinical worsening detection in general hospital units.

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