Security Protocol for RFID System Conforming to EPC-C1G2 Standard

Xiao, Feng; Zhou, Yiming; Zhou, Jingxian; Hongliang, Zhu; Niu, Xinxin

doi:10.4304/jcp.8.3.605-612

Cited by 6 publications

(3 citation statements)

References 17 publications

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“…347 lot of personal privacy information, once be disclosed, it will lead to the disclosure of user's interests, habits, health status, political affiliation and other personal privacy information [8]. For example, if a user frequently visits hospitals or clinics in a certain period of time, the attacker can deduce that he is likely to suffer a disease.…”

Section: Location-based Services and Privacy Protection Under Mobile mentioning

confidence: 99%

New Model Reference Adaptive System Speed Observer for Field-Oriented Control Induction Motor Drives Using Neural Networks

Khoei¹,

Zolfaghari²

2016

Bulletin EEI

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IntroductionWith the rapid development of mobile communication technology and the growing popularity of intelligent terminals, there is an urgent need to get information and services from the Internet at anytime and anywhere even during movement. The urgent needs of information and services promoted the convergence of Internet technology and mobile communication technology, and finally formed the Mobile Internet. Among the wide variety of Mobile Internet services, location-based services (LBS) are the most widely used one. It can provide many personalized services for mobile users according to their location information. Users can not only access to basic geography-related services, but also achieve communication, purchasing and sharing based on social network, as well as get news, arrange dating, release and search information during movement [1].In the era of Mobile Internet, cell-phone is much more than a tool for communication; it has already become an "organ" of our body, and has even become an indispensable part of people's social relationships. However, the high adhesion degree of mobile terminals to users not only brings facility but also bring new security risks. Physical location and trajectory data of mobile user contains a large number of personal privacy information. If the specific location information of user has been leaked while using the LBS services, it may disclosure some privacy information of user, such as interests, habits, health status, political affiliation, even cause huge loss of personal property and security.The paper started from the application perspective of mobile cloud computing, analyzed the advantages and necessity to provide LBS services based on mobile cloud computing, introduced the traditional protection methods of location privacy and pointed out the new security risks to LBS system brought by mobile cloud computing. In order to solve the above problems, the paper proposed a systematic framework of LBS system and described the realization process of LBS business based on mobile cloud computing.

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Section: Location-based Services and Privacy Protection Under Mobile mentioning

confidence: 99%

New Model Reference Adaptive System Speed Observer for Field-Oriented Control Induction Motor Drives Using Neural Networks

Khoei¹,

Zolfaghari²

2016

Bulletin EEI

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“…If a malicious attacker intercepted the LBS service request, and finally obtained the original location information by calculating or reasoning their position information, that will result in serious threat on personal security and vital interests. As the physical location and trajectory data of mobile user contains a 347 lot of personal privacy information, once be disclosed, it will lead to the disclosure of user's interests, habits, health status, political affiliation and other personal privacy information [8]. For example, if a user frequently visits hospitals or clinics in a certain period of time, the attacker can deduce that he is likely to suffer a disease.…”

Section: Privacy Protection Of Lbs Systemmentioning

confidence: 99%

Location-Based Services and Privacy Protection under Mobile Cloud Computing

Yan

Hao

Wan-jun³

2015

Bulletin EEI

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Location-based services can provide personalized services based on location information of moving objects and have already been widely used in public safety services, transportation, entertainment and many other areas. With the rapid development of mobile communication technology and popularization of intelligent terminals, there will be great commercial prospects to provide location-based services under mobile cloud computing environment. However, the high adhesion degree of mobile terminals to users not only brings facility but also results in the risk of privacy leak. The paper introduced the necessities and advantages to provide location-based services under mobile cloud computing environment, stressed the importance to protect location privacy in LBS services, pointed out new security risks brought by mobile cloud computing, and proposed a new framework and implementation method of LBS service. The cloud-based LBS system proposed in this paper is able to achieve privacy protection from the confidentiality of outsourced data and integrity of service results, and can be used as a reference while developing LBS system under mobile cloud computing environment.

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“…doi:10.12720/jcm. 8.5.282-287 HEMTs and simulate some characteristics which are related to device performance [3]- [5].…”

Section: Introductionmentioning

confidence: 99%

Research of Electromagnetic-Thermal Coupling Mechanism Based on a Physical Model of AlGaN/GaN HEMTs

Luo¹,

Yu²,

Lv³

2013

JCM

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A single-finger physical model of 180 nm gatelength and 75 μm gate-width AlGaN/GaN HEMTs is described including lateral structure and vertical material parameters. The Farahmand Modified Caughey Thomas fitting function and the Monte Carlo model are used to express the 2DEG mobility in low and high field respectively. Then DC characteristics is simulated and the initial condition generated by self-heating effect is determined under DC bias. Electromagnetic-thermal (EM-T) coupling mechanism during the whole process is analyzed and the AlGaN/GaN HEMT structure is calculated combining with equations in electromagnetic field, microelectronics and thermal field under different RF input signals. Finally, high frequency characteristics of the device is obtained. The result shows that the highest junction temperature is 126 ℃ under -2 V gate voltage, 25 V drain voltage and 16 dBm CW RF input signal. The current gain cutoff frequency (f T ), the maximum frequency of oscillation (f max ) and the maximum available power gain (MAG) at 40 GHz decrease 13%, 17% and 18%, respectively, at 16 dBm by contrasting to 8dBm.  Index Terms-physical model, AlGaN/GaN HEMTs, mobility, electromagnetic-thermal coupling.

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Security Protocol for RFID System Conforming to EPC-C1G2 Standard

Cited by 6 publications

References 17 publications

New Model Reference Adaptive System Speed Observer for Field-Oriented Control Induction Motor Drives Using Neural Networks

New Model Reference Adaptive System Speed Observer for Field-Oriented Control Induction Motor Drives Using Neural Networks

Location-Based Services and Privacy Protection under Mobile Cloud Computing

Research of Electromagnetic-Thermal Coupling Mechanism Based on a Physical Model of AlGaN/GaN HEMTs

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