The Experts below are selected from a list of 123 Experts worldwide ranked by ideXlab platform

Ping Yang - One of the best experts on this subject based on the ideXlab platform.

  • An improved scheme of IPI-based Entity Identifier generation for securing body sensor networks
    2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011
    Co-Authors: Tian Hong, Yuan-ting Zhang, Ye Li, Ping Yang
    Abstract:

    Securing body sensor network (BSN) in an efficient manner is very important for preserving the privacy of medical data. Protecting data confidentiality, integrity and to authenticate the communicating nodes are basic requirements to secure BSN. The existing method to generate Entity Identifier (EI) from inter-pulse intervals (IPIs) of heartbeats has its advantages in authenticating and identifying nodes, which however was found in this study that such generated EIs are not so resistant to attacks because of potential error patterns. This paper presents an improved scheme of IPI-based EI generation to eliminate the error patterns. The performance of randomness and node identification, i.e. false acceptance rate and false rejection rate, is experimentally evaluated. The results indicate that compared with the existing one, the new scheme is effective to eliminate the error patterns and thus more tolerant to attacks, while there is no compromise on the randomness level and identification performance.

Tian Hong - One of the best experts on this subject based on the ideXlab platform.

  • EMBC - An improved scheme of IPI-based Entity Identifier generation for securing body sensor networks
    Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and, 2011
    Co-Authors: Tian Hong, Yuan-ting Zhang, Ye Li, Po Yang
    Abstract:

    Securing body sensor network (BSN) in an efficient manner is very important for preserving the privacy of medical data. Protecting data confidentiality, integrity and to authenticate the communicating nodes are basic requirements to secure BSN. The existing method to generate Entity Identifier (EI) from inter-pulse intervals (IPIs) of heartbeats has its advantages in authenticating and identifying nodes, which however was found in this study that such generated EIs are not so resistant to attacks because of potential error patterns. This paper presents an improved scheme of IPI-based EI generation to eliminate the error patterns. The performance of randomness and node identification, i.e. false acceptance rate and false rejection rate, is experimentally evaluated. The results indicate that compared with the existing one, the new scheme is effective to eliminate the error patterns and thus more tolerant to attacks, while there is no compromise on the randomness level and identification performance.

  • An improved scheme of IPI-based Entity Identifier generation for securing body sensor networks
    2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011
    Co-Authors: Tian Hong, Yuan-ting Zhang, Ye Li, Ping Yang
    Abstract:

    Securing body sensor network (BSN) in an efficient manner is very important for preserving the privacy of medical data. Protecting data confidentiality, integrity and to authenticate the communicating nodes are basic requirements to secure BSN. The existing method to generate Entity Identifier (EI) from inter-pulse intervals (IPIs) of heartbeats has its advantages in authenticating and identifying nodes, which however was found in this study that such generated EIs are not so resistant to attacks because of potential error patterns. This paper presents an improved scheme of IPI-based EI generation to eliminate the error patterns. The performance of randomness and node identification, i.e. false acceptance rate and false rejection rate, is experimentally evaluated. The results indicate that compared with the existing one, the new scheme is effective to eliminate the error patterns and thus more tolerant to attacks, while there is no compromise on the randomness level and identification performance.

Yuan-ting Zhang - One of the best experts on this subject based on the ideXlab platform.

  • EMBC - An improved scheme of IPI-based Entity Identifier generation for securing body sensor networks
    Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and, 2011
    Co-Authors: Tian Hong, Yuan-ting Zhang, Ye Li, Po Yang
    Abstract:

    Securing body sensor network (BSN) in an efficient manner is very important for preserving the privacy of medical data. Protecting data confidentiality, integrity and to authenticate the communicating nodes are basic requirements to secure BSN. The existing method to generate Entity Identifier (EI) from inter-pulse intervals (IPIs) of heartbeats has its advantages in authenticating and identifying nodes, which however was found in this study that such generated EIs are not so resistant to attacks because of potential error patterns. This paper presents an improved scheme of IPI-based EI generation to eliminate the error patterns. The performance of randomness and node identification, i.e. false acceptance rate and false rejection rate, is experimentally evaluated. The results indicate that compared with the existing one, the new scheme is effective to eliminate the error patterns and thus more tolerant to attacks, while there is no compromise on the randomness level and identification performance.

  • An improved scheme of IPI-based Entity Identifier generation for securing body sensor networks
    2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011
    Co-Authors: Tian Hong, Yuan-ting Zhang, Ye Li, Ping Yang
    Abstract:

    Securing body sensor network (BSN) in an efficient manner is very important for preserving the privacy of medical data. Protecting data confidentiality, integrity and to authenticate the communicating nodes are basic requirements to secure BSN. The existing method to generate Entity Identifier (EI) from inter-pulse intervals (IPIs) of heartbeats has its advantages in authenticating and identifying nodes, which however was found in this study that such generated EIs are not so resistant to attacks because of potential error patterns. This paper presents an improved scheme of IPI-based EI generation to eliminate the error patterns. The performance of randomness and node identification, i.e. false acceptance rate and false rejection rate, is experimentally evaluated. The results indicate that compared with the existing one, the new scheme is effective to eliminate the error patterns and thus more tolerant to attacks, while there is no compromise on the randomness level and identification performance.

  • using the timing information of heartbeats as an Entity Identifier to secure body sensor network
    International Conference of the IEEE Engineering in Medicine and Biology Society, 2008
    Co-Authors: Carmen C Y Poon, Yuan-ting Zhang, Lianfeng Shen
    Abstract:

    Security of the emerging body sensor network (BSN) in telemedicine applications is a crucial problem because personal medical information must be protected against flaws and misdeeds. The solution is, however, nontrivial because lightweight mechanisms have to be deployed to meet the stringent resource constraints of these networks. It has been suggested that the inherent ability of human body to transfer information is a unique and resource-saving method to secure wireless communications within a BSN. For example, physiological characteristics can be captured by individual sensors of a BSN to generate Entity Identifiers (EIs) for identifying nodes and even securing keying materials, i.e., by a biometric approach. This study demonstrates the performance analysis of such a biometric trait, i.e., the interpulse intervals (IPIs) of heartbeats that were calculated from electrocardiogram and photoplethysmogram of 99 subjects. Based on the characteristics of IPIs, a lightweight generation scheme of EIs is proposed. Individual randomness and group similarity of the generated EIs are then evaluated. False acceptance rate and false rejection rate are also calculated to measure the effectiveness of the proposed identification system. The results suggest that the readily available IPI information can be a good source for generating EIs among BSN nodes.

Ye Li - One of the best experts on this subject based on the ideXlab platform.

  • EMBC - An improved scheme of IPI-based Entity Identifier generation for securing body sensor networks
    Conference proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and, 2011
    Co-Authors: Tian Hong, Yuan-ting Zhang, Ye Li, Po Yang
    Abstract:

    Securing body sensor network (BSN) in an efficient manner is very important for preserving the privacy of medical data. Protecting data confidentiality, integrity and to authenticate the communicating nodes are basic requirements to secure BSN. The existing method to generate Entity Identifier (EI) from inter-pulse intervals (IPIs) of heartbeats has its advantages in authenticating and identifying nodes, which however was found in this study that such generated EIs are not so resistant to attacks because of potential error patterns. This paper presents an improved scheme of IPI-based EI generation to eliminate the error patterns. The performance of randomness and node identification, i.e. false acceptance rate and false rejection rate, is experimentally evaluated. The results indicate that compared with the existing one, the new scheme is effective to eliminate the error patterns and thus more tolerant to attacks, while there is no compromise on the randomness level and identification performance.

  • An improved scheme of IPI-based Entity Identifier generation for securing body sensor networks
    2011 Annual International Conference of the IEEE Engineering in Medicine and Biology Society, 2011
    Co-Authors: Tian Hong, Yuan-ting Zhang, Ye Li, Ping Yang
    Abstract:

    Securing body sensor network (BSN) in an efficient manner is very important for preserving the privacy of medical data. Protecting data confidentiality, integrity and to authenticate the communicating nodes are basic requirements to secure BSN. The existing method to generate Entity Identifier (EI) from inter-pulse intervals (IPIs) of heartbeats has its advantages in authenticating and identifying nodes, which however was found in this study that such generated EIs are not so resistant to attacks because of potential error patterns. This paper presents an improved scheme of IPI-based EI generation to eliminate the error patterns. The performance of randomness and node identification, i.e. false acceptance rate and false rejection rate, is experimentally evaluated. The results indicate that compared with the existing one, the new scheme is effective to eliminate the error patterns and thus more tolerant to attacks, while there is no compromise on the randomness level and identification performance.

Pavel Morozkin - One of the best experts on this subject based on the ideXlab platform.

  • obtaining an sdl Entity Identifier using sdl systemc co modeling
    2012 12th Conference of Open Innovations Association (FRUCT), 2012
    Co-Authors: Pavel Morozkin
    Abstract:

    This paper describes a technical problem of obtaining a unique SDL Entity Identifier using SDL/SystemC co-modeling. The problem occurs during scientific research in co-modeling field as well as work under real projects. Solution consists in redefinition the standard function of SDL simulation kernel for getting access to Entity name and then conversion its name to a unique Identifier. The paper explains the situation where problem appears, demonstrates its application using SDL/SystemC co-simulation and describes in practice a solution that fully solved the problem and makes possible further research.

  • FRUCT - Obtaining an SDL Entity Identifier using SDL/SystemC co-modeling
    2012 12th Conference of Open Innovations Association (FRUCT), 2012
    Co-Authors: Pavel Morozkin
    Abstract:

    This paper describes a technical problem of obtaining a unique SDL Entity Identifier using SDL/SystemC co-modeling. The problem occurs during scientific research in co-modeling field as well as work under real projects. Solution consists in redefinition the standard function of SDL simulation kernel for getting access to Entity name and then conversion its name to a unique Identifier. The paper explains the situation where problem appears, demonstrates its application using SDL/SystemC co-simulation and describes in practice a solution that fully solved the problem and makes possible further research.

  • Obtaining an SDL Entity Identifier using SDL/SystemC co-modeling
    2012 12th Conference of Open Innovations Association (FRUCT), 2012
    Co-Authors: Pavel Morozkin
    Abstract:

    This paper describes a technical problem of obtaining a unique SDL Entity Identifier using SDL/SystemC co-modeling. The problem occurs during scientific research in co-modeling field as well as work under real projects. Solution consists in redefinition the standard function of SDL simulation kernel for getting access to Entity name and then conversion its name to a unique Identifier. The paper explains the situation where problem appears, demonstrates its application using SDL/SystemC co-simulation and describes in practice a solution that fully solved the problem and makes possible further research.