Enabling Real-Time Management and Visibility with RFID

2011 ◽  
pp. 172-190 ◽  
Author(s):  
Peter J. Hawrylak ◽  
Ajay Ogirala ◽  
Bryan A. Norman ◽  
Jayant Rajgopal ◽  
Marlin H. Mickle
Keyword(s):  
Real Time ◽  
Radio Frequency Identification ◽  
Time Management ◽  
Improve Patient Safety ◽  
Security Measures ◽  
Privacy And Security ◽  
Location Accuracy ◽  
Security Issues ◽  
Frequency Identification ◽  
Improve Patient

Radio frequency identification (RFID) and Real Time Location Systems (RTLS) provide a wireless means to identify, locate, monitor, and track assets and people. RFID technology can be used for resource and patient location, to reduce costs, improve inventory accuracy, and improve patient safety. A number of pilot deployments of RFID and RTLS technology have yielded promising results, reduced costs, and improved patient care. However, there are three major issues facing RFID and RTLS systems, privacy, security, and location accuracy. As described in this chapter the privacy and security issues can be easily addressed by employing standard security measures. Location accuracy issues are physics-related and new advances continue to improve this accuracy. However, in hospital applications accuracy to the room level is sufficient.

An Intelligent and Secure Framework for Wireless Information Technology in Healthcare for User and Data Classification in Hospitals

2019 ◽  
pp. 248-276
Author(s):  
Masoud Mohammadian ◽  
Dimitrios Hatzinakos ◽  
Petros Spachos ◽  
Ric Jentzsh
Keyword(s):  
Data Acquisition ◽  
Real Time ◽  
Radio Frequency Identification ◽  
Data Classification ◽  
Patient Data ◽  
Hospital Environment ◽  
Time Data ◽  
Privacy And Security ◽  
Real Time Data ◽  
Frequency Identification

Real time data acquisition and evaluation are required to save lives. Such data with utilization and application of the latest technologies in hospitals around the world can improve patient treatments and well beings. The delivery of patient's medical data needs to be secure. Secure and accurate real time data acquisition and analysis of patient data and the ability to update such data will assist in reducing cost while improving patient's care. A wireless framework based on radio frequency identification (RFID) can integrate wireless networks for fast data acquisition and transmission, while maintaining the privacy issue. This chapter discusses the development of a framework that can be considered for secure patient data collection and communications in a hospital environment. A new method for data classification and access authorization has also been developed, which will assist in preserving privacy and security of data. Several Case studies are offered to show the effectiveness of this framework.

An Intelligent and Secure Framework for Wireless Information Technology in Healthcare for User and Data Classification in Hospitals

2016 ◽  
pp. 452-479
Author(s):  
Masoud Mohammadian ◽  
Dimitrios Hatzinakos ◽  
Petros Spachos ◽  
Ric Jentzsh
Keyword(s):  
Data Acquisition ◽  
Real Time ◽  
Radio Frequency Identification ◽  
Data Classification ◽  
Patient Data ◽  
Hospital Environment ◽  
Time Data ◽  
Privacy And Security ◽  
Real Time Data ◽  
Frequency Identification

Real time data acquisition and evaluation are required to save lives. Such data with utilization and application of the latest technologies in hospitals around the world can improve patient treatments and well beings. The delivery of patient's medical data needs to be secure. Secure and accurate real time data acquisition and analysis of patient data and the ability to update such data will assist in reducing cost while improving patient's care. A wireless framework based on radio frequency identification (RFID) can integrate wireless networks for fast data acquisition and transmission, while maintaining the privacy issue. This chapter discusses the development of a framework that can be considered for secure patient data collection and communications in a hospital environment. A new method for data classification and access authorization has also been developed, which will assist in preserving privacy and security of data. Several Case studies are offered to show the effectiveness of this framework.

User and Data Classification for a Secure and Practical Approach for Patient-Doctor Profiling Using an RFID Framework in Hospital

2015 ◽  
pp. 1101-1122
Author(s):  
Masoud Mohammadian ◽  
Ric Jentzsch
Keyword(s):  
Data Acquisition ◽  
Real Time ◽  
Radio Frequency Identification ◽  
Data Classification ◽  
Well Being ◽  
Patient Data ◽  
Time Data ◽  
Privacy And Security ◽  
Real Time Data ◽  
Improve Patient

Utilization and application of the latest technologies can save lives and improve patient treatments and well-being. For this it is important to have accurate, near real-time data acquisition and evaluation. The delivery of patient's medical data needs to be as fast and as secure as possible. Accurate almost real-time data acquisition and analysis of patient data and the ability to update such a data is a way to reduce cost and improve patient care. One possible solution to achieve this task is to use a wireless framework based on Radio Frequency Identification (RFID). This framework can integrate wireless networks for fast data acquisition and transmission, while maintaining the privacy issue. This chapter discusses the development of an intelligent multi-agent system in a framework in which RFID can be used for patient data collection. This chapter presents a framework for the knowledge acquisition of patient and doctor profiling in a hospital. The acquisition of profile data is assisted by a profiling agent that is responsible for processing the raw data obtained through RFID and database of doctors and patients. A new method for data classification and access authorization is developed, which will assist in preserving privacy and security of data.

User and Data Classification for a Secure and Practical Approach for Patient-Doctor Profiling Using an RFID Framework in Hospital

2013 ◽  
pp. 224-253
Author(s):  
Masoud Mohammadian ◽  
Ric Jentzsch
Keyword(s):  
Data Acquisition ◽  
Real Time ◽  
Radio Frequency Identification ◽  
Data Classification ◽  
Well Being ◽  
Patient Data ◽  
Time Data ◽  
Privacy And Security ◽  
Real Time Data ◽  
Improve Patient

Utilization and application of the latest technologies can save lives and improve patient treatments and well-being. For this it is important to have accurate, near real-time data acquisition and evaluation. The delivery of patient’s medical data needs to be as fast and as secure as possible. Accurate almost real-time data acquisition and analysis of patient data and the ability to update such a data is a way to reduce cost and improve patient care. One possible solution to achieve this task is to use a wireless framework based on Radio Frequency Identification (RFID). This framework can integrate wireless networks for fast data acquisition and transmission, while maintaining the privacy issue. This chapter discusses the development of an intelligent multi-agent system in a framework in which RFID can be used for patient data collection. This chapter presents a framework for the knowledge acquisition of patient and doctor profiling in a hospital. The acquisition of profile data is assisted by a profiling agent that is responsible for processing the raw data obtained through RFID and database of doctors and patients. A new method for data classification and access authorization is developed, which will assist in preserving privacy and security of data.

scholarly journals RFID security protocols simulation and prototyping

2021 ◽  
Author(s):  
Xiaohui Yu
Keyword(s):  
Radio Frequency Identification ◽  
Security Protocol ◽  
Security And Privacy ◽  
Privacy And Security ◽  
Rfid Security ◽  
Security Issues ◽  
Frequency Identification ◽  
Symmetric Key ◽  
And Performance ◽  
Attack Models

As Radio Frequency Identification (RFID) technology achieves commercial success, its privacy and security issues are becoming a barrier to limit its potential for future start of the art applications. In this report, we present an investigation of the past and current research related to RFID security algorithms and protocols for product authentication. We also present a novel RFID security protocol based on eXtended Tiny Encryption Algorithm (XTEA). Analysis of the security and privacy level of our proposed protocol is performed using SystemC based modeling and different attack models are simulated to show that the protocol is robust and safe against application, protoypes of these attack models are implemented on FPGA platform. We also compare our proposed protocol technique with similar protocols presented in the near past that also use symmetric key algorithms to verify and demostrate main advantages of our protocol in terms of security and performance.

scholarly journals RFID security protocols simulation and prototyping

2021 ◽  
Author(s):  
Xiaohui Yu
Keyword(s):  
Radio Frequency Identification ◽  
Security Protocol ◽  
Security And Privacy ◽  
Privacy And Security ◽  
Rfid Security ◽  
Security Issues ◽  
Frequency Identification ◽  
Symmetric Key ◽  
And Performance ◽  
Attack Models

As Radio Frequency Identification (RFID) technology achieves commercial success, its privacy and security issues are becoming a barrier to limit its potential for future start of the art applications. In this report, we present an investigation of the past and current research related to RFID security algorithms and protocols for product authentication. We also present a novel RFID security protocol based on eXtended Tiny Encryption Algorithm (XTEA). Analysis of the security and privacy level of our proposed protocol is performed using SystemC based modeling and different attack models are simulated to show that the protocol is robust and safe against application, protoypes of these attack models are implemented on FPGA platform. We also compare our proposed protocol technique with similar protocols presented in the near past that also use symmetric key algorithms to verify and demostrate main advantages of our protocol in terms of security and performance.

Design and Development of an Internet of Things (IoT)-Based Anti-Theft System in Museum Cultural Relics Using RFID

2022 ◽  
pp. 168-180
Author(s):  
Sasikumar Gurumoorthy ◽  
L. Venkateswara Reddy ◽  
Sudhakaran Periakaruppan
Keyword(s):  
Internet Of Things ◽  
Radio Frequency Identification ◽  
The Internet ◽  
Security Measures ◽  
Photographic Camera ◽  
The World ◽  
Unique Identity ◽  
Frequency Identification ◽  
Hardware Component ◽  
The Internet Of Things

Art colonnades and museums all over the world are the first option for individuals to visit for the enhancement of the cultural life of people. To ensure their safety, museums have established numerous cultural security measures. Traditional strategies do not obstruct their pace entirely. They only use a computer in the museum to check individuals at the entrance and exit. Therefore, the authors proposed a gallery anti-stealing device created on the internet-of-things (IoT) technology that ensures security through passive readers/writers of RFID. Radio frequency identification (RFID) remains a system that practices isolated data storing and recovery and offers object tracking with a unique identity code. The system then sends sound and light warning information, while the photographic camera structure is triggered to capture a picture at the same time. The recognition of the accuracy in the hardware component of the device can be additionally enhanced by the use of this technology to increase the safety of museum equipment.

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