The Experts below are selected from a list of 38877 Experts worldwide ranked by ideXlab platform

Bertrand Ducourthial - One of the best experts on this subject based on the ideXlab platform.

  • On the Sybil attack detection in VANET
    2007 IEEE Internatonal Conference on Mobile Adhoc and Sensor Systems MASS, 2007
    Co-Authors: Gilles Guette, Bertrand Ducourthial
    Abstract:

    Since few years, Vehicular Ad hoc Networks deserve much attention. The development of wireless communication in VANET implies to take into account the need of security. In VANET, many attacks rely on having the attacker generate multiple identities to simulate multiple nodes: this is called the Sybil attack. In this paper, we propose a precise quantification of the effects of various assumptions (type of Antenna, Transmission signal strength) on the effectiveness of a Sybil attack.

  • MASS - On the Sybil attack detection in VANET
    2007 IEEE Internatonal Conference on Mobile Adhoc and Sensor Systems, 2007
    Co-Authors: Gilles Guette, Bertrand Ducourthial
    Abstract:

    Since few years, Vehicular Ad hoc Networks deserve much attention. The development of wireless communication in VANET implies to take into account the need of security. In VANET, many attacks rely on having the attacker generate multiple identities to simulate multiple nodes: this is called the Sybil attack. In this paper, we propose a precise quantification of the effects of various assumptions (type of Antenna, Transmission signal strength) on the effectiveness of a Sybil attack.

Matthew R. Mckay - One of the best experts on this subject based on the ideXlab platform.

  • artificial noise aided secure multi Antenna Transmission with limited feedback
    IEEE Transactions on Wireless Communications, 2015
    Co-Authors: Xi Zhang, Matthew R. Mckay, Xiangyun Zhou, Robert W Heath
    Abstract:

    We present an optimized secure multi-Antenna Transmission approach based on artificial-noise-aided beamforming, with limited feedback from a desired single-Antenna receiver. To deal with beamformer quantization errors as well as unknown eavesdropper channel characteristics, our approach is aimed at maximizing throughput under dual performance constraints—a connection outage constraint on the desired communication channel and a secrecy outage constraint to guard against eavesdropping. We propose an adaptive Transmission strategy that judiciously selects the wiretap coding parameters, as well as the power allocation between the artificial noise and the information signal. This optimized solution reveals several important differences with respect to solutions designed previously under the assumption of perfect feedback. We also investigate the problem of how to most efficiently utilize the feedback bits. The simulation results indicate that a good design strategy is to use approximately 20% of these bits to quantize the channel gain information, with the remainder to quantize the channel direction, and this allocation is largely insensitive to the secrecy outage constraint imposed. In addition, we find that 8 feedback bits per transmit Antenna is sufficient to achieve approximately 90% of the throughput attainable with perfect feedback.

  • ICASSP - ARTIFICIAL-NOISE-AIDED SECURE MULTI-Antenna Transmission IN SLOW FADING CHANNELS WITH LIMITED FEEDBACK
    2014 IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP), 2014
    Co-Authors: Xi Zhang, Matthew R. Mckay, Xiangyun Zhou, Robert W Heath
    Abstract:

    We study secure multi-Antenna Transmission with limited feedback from the intended receiver and no feedback from the malicious eavesdropper. Our system uses the artificial-noise-aided beamforming approach to enhance secrecy, considering slow fading channels with outage constraints on the reliability performance of legitimate communication and the secrecy performance against eavesdropping. Our analytical results provide conditions on the minimum number of feedback bits and the minimum strength of the intended channel for making secure Transmission possible. We observe that strengthening the secrecy outage constraint puts higher requirements on the number of feedback bits and the strength of the intended channel. To maximize the achievable secrecy rate, the optimal transmit power allocation between the information signal and the artificial noise is also derived in closed form.

  • on the design of artificial noise aided secure multi Antenna Transmission in slow fading channels
    IEEE Transactions on Vehicular Technology, 2013
    Co-Authors: Xi Zhang, Xiangyun Zhou, Matthew R. Mckay
    Abstract:

    In this paper, we investigate the design of artificial-noise-aided secure multi-Antenna Transmission in slow fading channels. The primary design concerns include the transmit power allocation and the rate parameters of the wiretap code. We consider two scenarios with different complexity levels: 1) the design parameters are chosen to be fixed for all Transmissions; and 2) they are adaptively adjusted based on the instantaneous channel feedback from the intended receiver. In both scenarios, we provide explicit design solutions for achieving the maximal throughput subject to a secrecy constraint, given by a maximum allowable secrecy outage probability. We then derive accurate approximations for the maximal throughput in both scenarios in the high signal-to-noise ratio region, and give new insights into the additional power cost for achieving a higher security level while maintaining a specified target throughput. In the end, the throughput gain of adaptive Transmission over non-adaptive Transmission is also quantified and analyzed.

  • Enhancing Secrecy With Multi-Antenna Transmission in Wireless Ad Hoc Networks
    IEEE Transactions on Information Forensics and Security, 2013
    Co-Authors: Xi Zhang, Xiangyun Zhou, Matthew R. Mckay
    Abstract:

    We study physical-layer security in wireless ad hoc networks and investigate two types of multi-Antenna Transmission schemes for providing secrecy enhancements. To establish secure Transmission against malicious eavesdroppers, we consider the generation of artificial noisewith either sectoring or beamforming. For both approaches, we provide a statistical characterization and tradeoff analysis of the outage performance of the legitimate communication and the eavesdropping links. We then investigate the network-wide secrecy throughput performance of both schemes in terms of the secrecy Transmission capacity, and study the optimal power allocation between the information signal and the artificial noise. Our analysis indicates that, under transmit power optimization, the beamforming scheme outperforms the sectoring scheme, except for the case where the number of transmit Antennas are sufficiently large. Our study also reveals some interesting differences between the optimal power allocation for the sectoring and beamforming schemes.

  • on the design of artificial noise aided secure multi Antenna Transmission in slow fading channels
    arXiv: Information Theory, 2012
    Co-Authors: Xi Zhang, Xiangyun Zhou, Matthew R. Mckay
    Abstract:

    In this paper, we investigate the design of artificial-noise-aided secure multi-Antenna Transmission in slow fading channels. The primary design concerns include the transmit power allocation and the rate parameters of the wiretap code. We consider two scenarios with different complexity levels: i) the design parameters are chosen to be fixed for all Transmissions, ii) they are adaptively adjusted based on the instantaneous channel feedback from the intended receiver. In both scenarios, we provide explicit design solutions for achieving the maximal throughput subject to a secrecy constraint, given by a maximum allowable secrecy outage probability. We then derive accurate approximations for the maximal throughput in both scenarios in the high signal-to-noise ratio region, and give new insights into the additional power cost for achieving a higher security level, whilst maintaining a specified target throughput. In the end, the throughput gain of adaptive Transmission over non-adaptive Transmission is also quantified and analyzed.

Menguc Oner - One of the best experts on this subject based on the ideXlab platform.

  • Joint Space Time Block Code and Modulation Classification for MIMO Systems
    IEEE Wireless Communications Letters, 2017
    Co-Authors: Ozgur Bayer, Menguc Oner
    Abstract:

    Non-cooperative identification of unknown communication signals is a popular research area with widespread civilian and military applications. Multiple input multiple output (MIMO) systems employing multi-Antenna Transmission pose new challenges to signal identification systems, such as the classification of the employed space time block code (STBC) and modulation in the presence of the self-interference inherent to the multi-Antenna Transmission. In the existing literature, these two classification problems have been handled separately, despite the fact that they are interrelated. This letter presents a novel approach to MIMO signal identification by considering the modulation type and the STBC classification tasks as a joint classification problem.

  • Joint Space Time Block Code and Modulation Classification for MIMO Systems
    IEEE Wireless Communications Letters, 2016
    Co-Authors: Ozgur Bayer, Menguc Oner
    Abstract:

    Non-cooperative identification of unknown communication signals is a popular research area with widespread civilian and military applications. Multiple input multiple output (MIMO) systems employing multi-Antenna Transmission pose new challenges to signal identification systems, such as the classification of the employed space time block code (STBC) and modulation in the presence of the self-interference inherent to the multi-Antenna Transmission. In the existing literature, these two classification problems have been handled separately, despite the fact that they are interrelated. This letter presents a novel approach to MIMO signal identification by considering the modulation type and the STBC classification tasks as a joint classification problem.Publisher's Versio

Xiangyun Zhou - One of the best experts on this subject based on the ideXlab platform.

  • artificial noise aided secure multi Antenna Transmission with limited feedback
    IEEE Transactions on Wireless Communications, 2015
    Co-Authors: Xi Zhang, Matthew R. Mckay, Xiangyun Zhou, Robert W Heath
    Abstract:

    We present an optimized secure multi-Antenna Transmission approach based on artificial-noise-aided beamforming, with limited feedback from a desired single-Antenna receiver. To deal with beamformer quantization errors as well as unknown eavesdropper channel characteristics, our approach is aimed at maximizing throughput under dual performance constraints—a connection outage constraint on the desired communication channel and a secrecy outage constraint to guard against eavesdropping. We propose an adaptive Transmission strategy that judiciously selects the wiretap coding parameters, as well as the power allocation between the artificial noise and the information signal. This optimized solution reveals several important differences with respect to solutions designed previously under the assumption of perfect feedback. We also investigate the problem of how to most efficiently utilize the feedback bits. The simulation results indicate that a good design strategy is to use approximately 20% of these bits to quantize the channel gain information, with the remainder to quantize the channel direction, and this allocation is largely insensitive to the secrecy outage constraint imposed. In addition, we find that 8 feedback bits per transmit Antenna is sufficient to achieve approximately 90% of the throughput attainable with perfect feedback.

  • ICASSP - ARTIFICIAL-NOISE-AIDED SECURE MULTI-Antenna Transmission IN SLOW FADING CHANNELS WITH LIMITED FEEDBACK
    2014 IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP), 2014
    Co-Authors: Xi Zhang, Matthew R. Mckay, Xiangyun Zhou, Robert W Heath
    Abstract:

    We study secure multi-Antenna Transmission with limited feedback from the intended receiver and no feedback from the malicious eavesdropper. Our system uses the artificial-noise-aided beamforming approach to enhance secrecy, considering slow fading channels with outage constraints on the reliability performance of legitimate communication and the secrecy performance against eavesdropping. Our analytical results provide conditions on the minimum number of feedback bits and the minimum strength of the intended channel for making secure Transmission possible. We observe that strengthening the secrecy outage constraint puts higher requirements on the number of feedback bits and the strength of the intended channel. To maximize the achievable secrecy rate, the optimal transmit power allocation between the information signal and the artificial noise is also derived in closed form.

  • on the design of artificial noise aided secure multi Antenna Transmission in slow fading channels
    IEEE Transactions on Vehicular Technology, 2013
    Co-Authors: Xi Zhang, Xiangyun Zhou, Matthew R. Mckay
    Abstract:

    In this paper, we investigate the design of artificial-noise-aided secure multi-Antenna Transmission in slow fading channels. The primary design concerns include the transmit power allocation and the rate parameters of the wiretap code. We consider two scenarios with different complexity levels: 1) the design parameters are chosen to be fixed for all Transmissions; and 2) they are adaptively adjusted based on the instantaneous channel feedback from the intended receiver. In both scenarios, we provide explicit design solutions for achieving the maximal throughput subject to a secrecy constraint, given by a maximum allowable secrecy outage probability. We then derive accurate approximations for the maximal throughput in both scenarios in the high signal-to-noise ratio region, and give new insights into the additional power cost for achieving a higher security level while maintaining a specified target throughput. In the end, the throughput gain of adaptive Transmission over non-adaptive Transmission is also quantified and analyzed.

  • Enhancing Secrecy With Multi-Antenna Transmission in Wireless Ad Hoc Networks
    IEEE Transactions on Information Forensics and Security, 2013
    Co-Authors: Xi Zhang, Xiangyun Zhou, Matthew R. Mckay
    Abstract:

    We study physical-layer security in wireless ad hoc networks and investigate two types of multi-Antenna Transmission schemes for providing secrecy enhancements. To establish secure Transmission against malicious eavesdroppers, we consider the generation of artificial noisewith either sectoring or beamforming. For both approaches, we provide a statistical characterization and tradeoff analysis of the outage performance of the legitimate communication and the eavesdropping links. We then investigate the network-wide secrecy throughput performance of both schemes in terms of the secrecy Transmission capacity, and study the optimal power allocation between the information signal and the artificial noise. Our analysis indicates that, under transmit power optimization, the beamforming scheme outperforms the sectoring scheme, except for the case where the number of transmit Antennas are sufficiently large. Our study also reveals some interesting differences between the optimal power allocation for the sectoring and beamforming schemes.

  • on the design of artificial noise aided secure multi Antenna Transmission in slow fading channels
    arXiv: Information Theory, 2012
    Co-Authors: Xi Zhang, Xiangyun Zhou, Matthew R. Mckay
    Abstract:

    In this paper, we investigate the design of artificial-noise-aided secure multi-Antenna Transmission in slow fading channels. The primary design concerns include the transmit power allocation and the rate parameters of the wiretap code. We consider two scenarios with different complexity levels: i) the design parameters are chosen to be fixed for all Transmissions, ii) they are adaptively adjusted based on the instantaneous channel feedback from the intended receiver. In both scenarios, we provide explicit design solutions for achieving the maximal throughput subject to a secrecy constraint, given by a maximum allowable secrecy outage probability. We then derive accurate approximations for the maximal throughput in both scenarios in the high signal-to-noise ratio region, and give new insights into the additional power cost for achieving a higher security level, whilst maintaining a specified target throughput. In the end, the throughput gain of adaptive Transmission over non-adaptive Transmission is also quantified and analyzed.

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

  • artificial noise aided secure multi Antenna Transmission with limited feedback
    IEEE Transactions on Wireless Communications, 2015
    Co-Authors: Xi Zhang, Matthew R. Mckay, Xiangyun Zhou, Robert W Heath
    Abstract:

    We present an optimized secure multi-Antenna Transmission approach based on artificial-noise-aided beamforming, with limited feedback from a desired single-Antenna receiver. To deal with beamformer quantization errors as well as unknown eavesdropper channel characteristics, our approach is aimed at maximizing throughput under dual performance constraints—a connection outage constraint on the desired communication channel and a secrecy outage constraint to guard against eavesdropping. We propose an adaptive Transmission strategy that judiciously selects the wiretap coding parameters, as well as the power allocation between the artificial noise and the information signal. This optimized solution reveals several important differences with respect to solutions designed previously under the assumption of perfect feedback. We also investigate the problem of how to most efficiently utilize the feedback bits. The simulation results indicate that a good design strategy is to use approximately 20% of these bits to quantize the channel gain information, with the remainder to quantize the channel direction, and this allocation is largely insensitive to the secrecy outage constraint imposed. In addition, we find that 8 feedback bits per transmit Antenna is sufficient to achieve approximately 90% of the throughput attainable with perfect feedback.

  • ICASSP - ARTIFICIAL-NOISE-AIDED SECURE MULTI-Antenna Transmission IN SLOW FADING CHANNELS WITH LIMITED FEEDBACK
    2014 IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP), 2014
    Co-Authors: Xi Zhang, Matthew R. Mckay, Xiangyun Zhou, Robert W Heath
    Abstract:

    We study secure multi-Antenna Transmission with limited feedback from the intended receiver and no feedback from the malicious eavesdropper. Our system uses the artificial-noise-aided beamforming approach to enhance secrecy, considering slow fading channels with outage constraints on the reliability performance of legitimate communication and the secrecy performance against eavesdropping. Our analytical results provide conditions on the minimum number of feedback bits and the minimum strength of the intended channel for making secure Transmission possible. We observe that strengthening the secrecy outage constraint puts higher requirements on the number of feedback bits and the strength of the intended channel. To maximize the achievable secrecy rate, the optimal transmit power allocation between the information signal and the artificial noise is also derived in closed form.

  • on the design of artificial noise aided secure multi Antenna Transmission in slow fading channels
    IEEE Transactions on Vehicular Technology, 2013
    Co-Authors: Xi Zhang, Xiangyun Zhou, Matthew R. Mckay
    Abstract:

    In this paper, we investigate the design of artificial-noise-aided secure multi-Antenna Transmission in slow fading channels. The primary design concerns include the transmit power allocation and the rate parameters of the wiretap code. We consider two scenarios with different complexity levels: 1) the design parameters are chosen to be fixed for all Transmissions; and 2) they are adaptively adjusted based on the instantaneous channel feedback from the intended receiver. In both scenarios, we provide explicit design solutions for achieving the maximal throughput subject to a secrecy constraint, given by a maximum allowable secrecy outage probability. We then derive accurate approximations for the maximal throughput in both scenarios in the high signal-to-noise ratio region, and give new insights into the additional power cost for achieving a higher security level while maintaining a specified target throughput. In the end, the throughput gain of adaptive Transmission over non-adaptive Transmission is also quantified and analyzed.

  • Enhancing Secrecy With Multi-Antenna Transmission in Wireless Ad Hoc Networks
    IEEE Transactions on Information Forensics and Security, 2013
    Co-Authors: Xi Zhang, Xiangyun Zhou, Matthew R. Mckay
    Abstract:

    We study physical-layer security in wireless ad hoc networks and investigate two types of multi-Antenna Transmission schemes for providing secrecy enhancements. To establish secure Transmission against malicious eavesdroppers, we consider the generation of artificial noisewith either sectoring or beamforming. For both approaches, we provide a statistical characterization and tradeoff analysis of the outage performance of the legitimate communication and the eavesdropping links. We then investigate the network-wide secrecy throughput performance of both schemes in terms of the secrecy Transmission capacity, and study the optimal power allocation between the information signal and the artificial noise. Our analysis indicates that, under transmit power optimization, the beamforming scheme outperforms the sectoring scheme, except for the case where the number of transmit Antennas are sufficiently large. Our study also reveals some interesting differences between the optimal power allocation for the sectoring and beamforming schemes.

  • on the design of artificial noise aided secure multi Antenna Transmission in slow fading channels
    arXiv: Information Theory, 2012
    Co-Authors: Xi Zhang, Xiangyun Zhou, Matthew R. Mckay
    Abstract:

    In this paper, we investigate the design of artificial-noise-aided secure multi-Antenna Transmission in slow fading channels. The primary design concerns include the transmit power allocation and the rate parameters of the wiretap code. We consider two scenarios with different complexity levels: i) the design parameters are chosen to be fixed for all Transmissions, ii) they are adaptively adjusted based on the instantaneous channel feedback from the intended receiver. In both scenarios, we provide explicit design solutions for achieving the maximal throughput subject to a secrecy constraint, given by a maximum allowable secrecy outage probability. We then derive accurate approximations for the maximal throughput in both scenarios in the high signal-to-noise ratio region, and give new insights into the additional power cost for achieving a higher security level, whilst maintaining a specified target throughput. In the end, the throughput gain of adaptive Transmission over non-adaptive Transmission is also quantified and analyzed.