Web based RFID asset management solution established on cloud services

Chattopadhyay, Arunabh; Prabhu, B. S.; Gadh, Rajit

doi:10.1109/rfid-ta.2011.6068652

Cited by 8 publications

(3 citation statements)

References 6 publications

(7 reference statements)

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“…Chattopadhyay et al [9] presented a model of tracking system based on web services and cloud computing. After a review of the literature of the key technologies involved, they elaborated the system architecture, showing the major modules and the logical relationships involved.…”

Section: Web Based Rfid Asset Management Solution Established On Cloumentioning

confidence: 99%

Observing Network Performance and Congestion on Managing Assets with RFID and Cloud Computing

Andrioli¹,

Righi²,

Costa³

et al. 2017

JCC

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Today, we observe that more and more, radio frequency identification (RFID) technology has been used to identify and track objects in enterprises and institutions. In addition, we also perceive the growing adoption of cloud computing, either public or private, to process and store data from the objects. In this context, the literature does not present an initiative that looks into the network on enterprise-cloud interactions, so neglecting network performance and congestion information when transmitting data to the cloud. Thus, we are presenting a model named ACMA-Automatic Control and Management of Assets. ACMA employs context awareness to control and monitor corporate assets in companies with multiple units. ACMA provides a centralized point of access in the cloud in which interested actors can get online data about each corporate asset. In particular, our scientific contribution consists in considering network congestion to control dynamically the data updating interval from sensors to the cloud. The idea is to search for reliability and integrity of operations, without losing or corrupting data when updating the information to cloud. Thus, this article describes the ACMA model, its architecture, algorithms and features. In addition, we describe the evaluation methodology and the results obtained through experiments and simulations based on the developed prototype.

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Section: Web Based Rfid Asset Management Solution Established On Cloumentioning

confidence: 99%

Observing Network Performance and Congestion on Managing Assets with RFID and Cloud Computing

Andrioli¹,

Righi²,

Costa³

et al. 2017

JCC

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“…With the rapid development of cloud computing, cloudbased RFID systems attract more attention. There are several schemes which addressed the cloud-based RFID system [7][8][9][10][11]. Dabas and Gupta [7] proposed an architecture framework for the existing RFID systems melded with the cloud computing paradigm.…”

Section: Introductionmentioning

confidence: 99%

“…Yuan and Li [8] built a cube model of RFID middleware data processing based on cloud computing. Chattopadhyay et al [9] proposed a web based RFID asset management solution established on cloud services. Chu and Wu [10] designed a hybrid building fire evacuation system (HBFES) on a mobile phone using RFID techniques and cloud computing.…”

Section: Introductionmentioning

confidence: 99%

Cloud-Based RFID Mutual Authentication Protocol without Leaking Location Privacy to the Cloud

Dong¹,

Jia-Qing²,

Chen³

2015

International Journal of Distributed Sensor Networks

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With the rapid developments of the IoT (Internet of Things) and the cloud computing, cloud-based RFID systems attract more attention. Users can reduce their cost of deploying and maintaining the RFID system by purchasing cloud services. However, the security threats of cloud-based RFID systems are more serious than those of traditional RFID systems. In cloud-based RFID systems, the connection between the reader and the cloud database is not secure and cloud service provider is not trusted. Therefore, the users have to encrypt their data stored in the cloud database to prevent the leakage of privacy. In addition, the reader’s location privacy should be protected to avoid its leak to the cloud provider. In this paper, a cloud-based RFID mutual authentication protocol without leaking location privacy to the cloud is proposed. It provides real-time mutual authentication between the reader and the tag and protects the reader’s location privacy by introducing the location privacy cloud. Compared with traditional backend-server-based schemes and serverless schemes, the proposed scheme has obvious advantages in deployment cost, scalability, real-time authentication, and the tag’s computational complexity.

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A Fog Computing Framework for Blackberry Supply Chain Management

Musa

Vidyasankar

2017

Procedia Computer Science

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Web based RFID asset management solution established on cloud services

Cited by 8 publications

References 6 publications

Observing Network Performance and Congestion on Managing Assets with RFID and Cloud Computing

Observing Network Performance and Congestion on Managing Assets with RFID and Cloud Computing

Cloud-Based RFID Mutual Authentication Protocol without Leaking Location Privacy to the Cloud

A Fog Computing Framework for Blackberry Supply Chain Management

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