The Experts below are selected from a list of 143568 Experts worldwide ranked by ideXlab platform

J Diamond - One of the best experts on this subject based on the ideXlab platform.

  • ieee 802 16 wimax based broadband wireless access and its application for telemedicine e health services
    IEEE Wireless Communications, 2007
    Co-Authors: Dusit Niyato, Ekram Hossain, J Diamond
    Abstract:

    In this article we investigate the application of IEEE 802.16-based broadband wireless access (BWA) technology to telemedicine services and the related protocol engineering issues. An overview of the different evolutions of the IEEE 802.16 standard is presented and some open research issues are identified. A survey on radio resource Management, Traffic scheduling, and admission control mechanisms proposed for IEEE 802.16/WiMAX systems is also provided. A qualitative comparison between third-generation wireless systems and the IEEE 802.16/WiMAX technology is given. A survey on telemedicine services using traditional wireless systems is presented. The advantages of using IEEE 802.16/WiMAX technology over traditional wireless systems, as well as the related design issues and approaches are discussed. To this end, we present a bandwidth allocation and admission control algorithm for IEEE 802.16-based BWA designed specifically for wireless telemedicine/e-health services. This algorithm aims at maximizing the utilization of the radio resources while considering the quality of service requirements for telemedicine Traffic. Some performance evaluation results for this scheme are obtained by simulations

  • ieee 802 16 wimax based broadband wireless access and its application for telemedicine e health services
    IEEE Wireless Communications, 2007
    Co-Authors: Dusit Niyato, Ekram Hossain, J Diamond
    Abstract:

    In this article we investigate the application of IEEE 802.16-based broadband wireless access (BWA) technology to telemedicine services and the related protocol engineering issues. An overview of the different evolutions of the IEEE 802.16 standard is presented and some open research issues are identified. A survey on radio resource Management, Traffic scheduling, and admission control mechanisms proposed for IEEE 802.16/WiMAX systems is also provided. A qualitative comparison between third-generation wireless systems and the IEEE 802.16/WiMAX technology is given. A survey on telemedicine services using traditional wireless systems is presented. The advantages of using IEEE 802.16/WiMAX technology over traditional wireless systems, as well as the related design issues and approaches are discussed. To this end, we present a bandwidth allocation and admission control algorithm for IEEE 802.16-based BWA designed specifically for wireless telemedicine/e-health services. This algorithm aims at maximizing the utilization of the radio resources while considering the quality of service requirements for telemedicine Traffic. Some performance evaluation results for this scheme are obtained by simulations

Dusit Niyato - One of the best experts on this subject based on the ideXlab platform.

  • ieee 802 16 wimax based broadband wireless access and its application for telemedicine e health services
    IEEE Wireless Communications, 2007
    Co-Authors: Dusit Niyato, Ekram Hossain, J Diamond
    Abstract:

    In this article we investigate the application of IEEE 802.16-based broadband wireless access (BWA) technology to telemedicine services and the related protocol engineering issues. An overview of the different evolutions of the IEEE 802.16 standard is presented and some open research issues are identified. A survey on radio resource Management, Traffic scheduling, and admission control mechanisms proposed for IEEE 802.16/WiMAX systems is also provided. A qualitative comparison between third-generation wireless systems and the IEEE 802.16/WiMAX technology is given. A survey on telemedicine services using traditional wireless systems is presented. The advantages of using IEEE 802.16/WiMAX technology over traditional wireless systems, as well as the related design issues and approaches are discussed. To this end, we present a bandwidth allocation and admission control algorithm for IEEE 802.16-based BWA designed specifically for wireless telemedicine/e-health services. This algorithm aims at maximizing the utilization of the radio resources while considering the quality of service requirements for telemedicine Traffic. Some performance evaluation results for this scheme are obtained by simulations

  • ieee 802 16 wimax based broadband wireless access and its application for telemedicine e health services
    IEEE Wireless Communications, 2007
    Co-Authors: Dusit Niyato, Ekram Hossain, J Diamond
    Abstract:

    In this article we investigate the application of IEEE 802.16-based broadband wireless access (BWA) technology to telemedicine services and the related protocol engineering issues. An overview of the different evolutions of the IEEE 802.16 standard is presented and some open research issues are identified. A survey on radio resource Management, Traffic scheduling, and admission control mechanisms proposed for IEEE 802.16/WiMAX systems is also provided. A qualitative comparison between third-generation wireless systems and the IEEE 802.16/WiMAX technology is given. A survey on telemedicine services using traditional wireless systems is presented. The advantages of using IEEE 802.16/WiMAX technology over traditional wireless systems, as well as the related design issues and approaches are discussed. To this end, we present a bandwidth allocation and admission control algorithm for IEEE 802.16-based BWA designed specifically for wireless telemedicine/e-health services. This algorithm aims at maximizing the utilization of the radio resources while considering the quality of service requirements for telemedicine Traffic. Some performance evaluation results for this scheme are obtained by simulations

Ekram Hossain - One of the best experts on this subject based on the ideXlab platform.

  • ieee 802 16 wimax based broadband wireless access and its application for telemedicine e health services
    IEEE Wireless Communications, 2007
    Co-Authors: Dusit Niyato, Ekram Hossain, J Diamond
    Abstract:

    In this article we investigate the application of IEEE 802.16-based broadband wireless access (BWA) technology to telemedicine services and the related protocol engineering issues. An overview of the different evolutions of the IEEE 802.16 standard is presented and some open research issues are identified. A survey on radio resource Management, Traffic scheduling, and admission control mechanisms proposed for IEEE 802.16/WiMAX systems is also provided. A qualitative comparison between third-generation wireless systems and the IEEE 802.16/WiMAX technology is given. A survey on telemedicine services using traditional wireless systems is presented. The advantages of using IEEE 802.16/WiMAX technology over traditional wireless systems, as well as the related design issues and approaches are discussed. To this end, we present a bandwidth allocation and admission control algorithm for IEEE 802.16-based BWA designed specifically for wireless telemedicine/e-health services. This algorithm aims at maximizing the utilization of the radio resources while considering the quality of service requirements for telemedicine Traffic. Some performance evaluation results for this scheme are obtained by simulations

  • ieee 802 16 wimax based broadband wireless access and its application for telemedicine e health services
    IEEE Wireless Communications, 2007
    Co-Authors: Dusit Niyato, Ekram Hossain, J Diamond
    Abstract:

    In this article we investigate the application of IEEE 802.16-based broadband wireless access (BWA) technology to telemedicine services and the related protocol engineering issues. An overview of the different evolutions of the IEEE 802.16 standard is presented and some open research issues are identified. A survey on radio resource Management, Traffic scheduling, and admission control mechanisms proposed for IEEE 802.16/WiMAX systems is also provided. A qualitative comparison between third-generation wireless systems and the IEEE 802.16/WiMAX technology is given. A survey on telemedicine services using traditional wireless systems is presented. The advantages of using IEEE 802.16/WiMAX technology over traditional wireless systems, as well as the related design issues and approaches are discussed. To this end, we present a bandwidth allocation and admission control algorithm for IEEE 802.16-based BWA designed specifically for wireless telemedicine/e-health services. This algorithm aims at maximizing the utilization of the radio resources while considering the quality of service requirements for telemedicine Traffic. Some performance evaluation results for this scheme are obtained by simulations

Antonio Pescape - One of the best experts on this subject based on the ideXlab platform.

  • Anonymity Services Tor, I2P, JonDonym: Classifying in the Dark (Web)
    IEEE Transactions on Dependable and Secure Computing, 2018
    Co-Authors: Antonio Pescape, Antonio Montieri, Giuseppe Aceto, Domenico Ciuonzo
    Abstract:

    Traffic Classification (TC) is an important tool for several tasks, applied in different fields (security, Management, Traffic engineering, R&D). This process is impaired or prevented by privacy-preserving protocols and tools, that encrypt the communication content, and (in case of anonymity tools) additionally hide the source, the destination, and the nature of the communication. In this paper, leveraging a public dataset released in 2017, we provide classification results with the aim of investigating to which degree the specific anonymity tool (and the Traffic it hides) can be identified, when compared to the Traffic of other considered anonymity tools, using five machine learning classifiers. Initially, flow-based TC is considered, and the effects of feature importance and temporal-related features to the network are investigated. Additionally, the role of finer-grained features, such as the (joint) histogram of packet lengths (and inter-arrival times), is determined. Successively, early TC of anonymous networks is analyzed. Results show that the considered anonymity networks (Tor, I2P, JonDonym) can be easily distinguished (with an accuracy of 99.87% and 99.80%, in case of flow-based and early-TC, respectively), telling even the specific application generating the Traffic (with an accuracy of 73.99% and 66.76%, in case of flow-based and early-TC, respectively).

  • Anonymity Services Tor, I2P, JonDonym: Classifying in the Dark
    2017 29th International Teletraffic Congress (ITC 29), 2017
    Co-Authors: Antonio Montieri, Giuseppe Aceto, Domenico Ciuonzo, Antonio Pescape
    Abstract:

    Traffic classification, i.e. associating network Traffic to the application that generated it, is an important tool for several tasks, spanning on different fields (security, Management, Traffic engineering, R&D). This process is challenged by applications that preserve Internet users' privacy by encrypting the communication content, and even more by anonymity tools, additionally hiding the source, the destination, and the nature of the communication. In this paper, leveraging a public dataset released in 2017, we provide (repeatable) classification results with the aim of investigating to what degree the specific anonymity tool (and the Traffic it hides) can be identified, when compared to the Traffic of the other considered anonymity tools, using machine learning approaches based on the sole statistical features. To this end, four classifiers are trained and tested on the dataset: (i) Naive Bayes, (ii) Bayesian Network, (iii) C4.5, and (iv) Random Forest. Results show that the three considered anonymity networks (Tor, I2P, JonDonym) can be easily distinguished (with an accuracy of 99.99%), telling even the specific application generating the Traffic (with an accuracy of 98.00%).

Domenico Ciuonzo - One of the best experts on this subject based on the ideXlab platform.

  • Anonymity Services Tor, I2P, JonDonym: Classifying in the Dark (Web)
    IEEE Transactions on Dependable and Secure Computing, 2018
    Co-Authors: Antonio Pescape, Antonio Montieri, Giuseppe Aceto, Domenico Ciuonzo
    Abstract:

    Traffic Classification (TC) is an important tool for several tasks, applied in different fields (security, Management, Traffic engineering, R&D). This process is impaired or prevented by privacy-preserving protocols and tools, that encrypt the communication content, and (in case of anonymity tools) additionally hide the source, the destination, and the nature of the communication. In this paper, leveraging a public dataset released in 2017, we provide classification results with the aim of investigating to which degree the specific anonymity tool (and the Traffic it hides) can be identified, when compared to the Traffic of other considered anonymity tools, using five machine learning classifiers. Initially, flow-based TC is considered, and the effects of feature importance and temporal-related features to the network are investigated. Additionally, the role of finer-grained features, such as the (joint) histogram of packet lengths (and inter-arrival times), is determined. Successively, early TC of anonymous networks is analyzed. Results show that the considered anonymity networks (Tor, I2P, JonDonym) can be easily distinguished (with an accuracy of 99.87% and 99.80%, in case of flow-based and early-TC, respectively), telling even the specific application generating the Traffic (with an accuracy of 73.99% and 66.76%, in case of flow-based and early-TC, respectively).

  • Anonymity Services Tor, I2P, JonDonym: Classifying in the Dark
    2017 29th International Teletraffic Congress (ITC 29), 2017
    Co-Authors: Antonio Montieri, Giuseppe Aceto, Domenico Ciuonzo, Antonio Pescape
    Abstract:

    Traffic classification, i.e. associating network Traffic to the application that generated it, is an important tool for several tasks, spanning on different fields (security, Management, Traffic engineering, R&D). This process is challenged by applications that preserve Internet users' privacy by encrypting the communication content, and even more by anonymity tools, additionally hiding the source, the destination, and the nature of the communication. In this paper, leveraging a public dataset released in 2017, we provide (repeatable) classification results with the aim of investigating to what degree the specific anonymity tool (and the Traffic it hides) can be identified, when compared to the Traffic of the other considered anonymity tools, using machine learning approaches based on the sole statistical features. To this end, four classifiers are trained and tested on the dataset: (i) Naive Bayes, (ii) Bayesian Network, (iii) C4.5, and (iv) Random Forest. Results show that the three considered anonymity networks (Tor, I2P, JonDonym) can be easily distinguished (with an accuracy of 99.99%), telling even the specific application generating the Traffic (with an accuracy of 98.00%).