The Experts below are selected from a list of 99885 Experts worldwide ranked by ideXlab platform
Samir Saoudi - One of the best experts on this subject based on the ideXlab platform.
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Turbo packet combining for broadband space-time BICM hybrid-ARQ systems with co-Channel Interference
IEEE Transactions on Wireless Communications, 2010Co-Authors: Tarik Ait Idir, Houda Chafnaji, Samir SaoudiAbstract:In this paper, efficient turbo packet combining for single carrier (SC) broadband multiple-inputmultiple-output (MIMO) hybridautomatic repeat request (ARQ) transmission with unknown co-Channel Interference (CCI) is studied. We propose a new frequency domain soft minimum mean square error (MMSE)-based signal level combining technique where received signals and Channel frequency responses (CFR)s corresponding to all retransmissions are used to decode the data packet. We provide a recursive implementation algorithm for the introduced scheme, and show that both its computational complexity and memory requirements are quite insensitive to the ARQ delay,i.e., maximum number of ARQ rounds. Furthermore, we analyze the asymptotic performance, and show that under a sum-rank condition on the CCI MIMO ARQ Channel, the proposed packet combining scheme is not Interference-limited. Simulation results are provided to demonstrate the gains offered by the proposed technique.
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Turbo packet combining for MIMO-ISI Channels with co-Channel Interference
2008Co-Authors: Tarik Ait Idir, Samir SaoudiAbstract:This work focuses on signal-level packet combining techniques for coded transmission over co-Channel Interference (CCI)-limited multiple input multiple output (MIMO) Channels with intersymbol Interference (ISI). A turbo packet combining algorithm that jointly equalizes multiple transmissions using the concept of virtual antennas is proposed. Block error rate (BLER) performance is investigated to show the great potential of the introduced technique for many scenarios.
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Successive Interference Cancellation Turbo Receivers for Frequency Selective Fading MIMO Systems
2007Co-Authors: Tarik Ait Idir, Samir SaoudiAbstract:In this contribution we present a new family of soft equalizers for multiple input multiple output (MIMO) systems with frequency selective fading. The proposed equalizers are based on soft successive Interference cancellation (SIC) of both intersymbol Interference (ISI) and multiple antenna Interference (MAI), and are applicable to both single user MIMO systems with ISI and MIMO multipath Channels with unknown co-Channel Interference (UCCI). Performance of proposed equalizers is evaluated through Monte Carlo simulations. Index Terms- MIMO multipath Channels, intersymbol inter-ference (ISI), unknown co-Channel Interference (UCCI), turbo equalization, successive Interference cancellation (SIC).
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Efficient MMSE-based space-time turbo equalization in the presence of co-Channel Interference
2006Co-Authors: Tarik Ait Idir, Samir SaoudiAbstract:This paper presents a new space-time iterative technique for equalizing multiple input multiple output (MIMO) Channels with unknown co-Channel Interference (UCCI). The proposed method is based on a successive Interference cancellation (SIC) technique derived under a minimum mean square error (MMSE) formalism. Computer simulations show that attractive performance can be achieved even with simple coding schemes.
Dae Hun Nyang - One of the best experts on this subject based on the ideXlab platform.
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Catch Me If You Can: Rogue Access Point Detection Using Intentional Channel Interference
IEEE Transactions on Mobile Computing, 2020Co-Authors: Rhongho Jang, Jeonil Kang, Aziz Mohaisen, Dae Hun NyangAbstract:In this paper, we introduce a powerful hardware-based rogue access point (PrAP), which can relay back and forth traffic between a legitimate AP and a wireless station, and act as a man-in-the-middle attacker. Our PrAP is built of two dedicated wireless routers interconnected physically, and can relay traffic rapidly between a station and a legitimate AP. Through experiments, we demonstrate that the state-of-the-art time-based rogue AP (rAP) detectors cannot detect our PrAP, although perhaps effective against software-based rAP. In demonstrating that, we unveil new insight into fundamentals of time-based detectors for software-based rAPs and their operation: such techniques are only capable of detecting rAPs due to the speed of wireless AP bridging. To address the threat of such PrAPs, we propose a new tool for network administrators, a PrAP-Hunter based on intentional Channel Interference. Our PrAP-Hunter is highly accurate, even under heavy traffic scenarios. Using a high-performance (desktop) and low-performance (mobile phone) experimental setups of our PrAP-Hunter in various deployment scenarios, we demonstrate close to 100 percent of detection rate, compared to 60 percent detection rate by the state-of-the-art. We show that our PrAP-Hunter is fast (takes 5-10 seconds), does not require any prior knowledge, and can be deployed in the wild by real-world experiments at 10 coffee shops.
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WISEC - Highly-accurate rogue access point detection using intentional Channel Interference: poster
Proceedings of the 10th ACM Conference on Security and Privacy in Wireless and Mobile Networks, 2017Co-Authors: Rhongho Jang, Jeonil Kang, Aziz Mohaisen, Dae Hun NyangAbstract:In this work, we introduce a powerful hardware-based rogue access point (PrAP), which can relay traffic between a legitimate AP and a wireless station, and act as a man-in-the-middle attacker. To defend against PrAPs, we propose PrAP-Hunter based on intentional Channel Interference. We demonstrate close to 100% of detection rate, compared to 60% detection rate by the state-of-the-art.
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highly accurate rogue access point detection using intentional Channel Interference poster
Wireless Network Security, 2017Co-Authors: Rhongho Jang, Jeonil Kang, Aziz Mohaisen, Dae Hun NyangAbstract:In this work, we introduce a powerful hardware-based rogue access point (PrAP), which can relay traffic between a legitimate AP and a wireless station, and act as a man-in-the-middle attacker. To defend against PrAPs, we propose PrAP-Hunter based on intentional Channel Interference. We demonstrate close to 100% of detection rate, compared to 60% detection rate by the state-of-the-art.
Tarik Ait Idir - One of the best experts on this subject based on the ideXlab platform.
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Turbo packet combining for broadband space-time BICM hybrid-ARQ systems with co-Channel Interference
IEEE Transactions on Wireless Communications, 2010Co-Authors: Tarik Ait Idir, Houda Chafnaji, Samir SaoudiAbstract:In this paper, efficient turbo packet combining for single carrier (SC) broadband multiple-inputmultiple-output (MIMO) hybridautomatic repeat request (ARQ) transmission with unknown co-Channel Interference (CCI) is studied. We propose a new frequency domain soft minimum mean square error (MMSE)-based signal level combining technique where received signals and Channel frequency responses (CFR)s corresponding to all retransmissions are used to decode the data packet. We provide a recursive implementation algorithm for the introduced scheme, and show that both its computational complexity and memory requirements are quite insensitive to the ARQ delay,i.e., maximum number of ARQ rounds. Furthermore, we analyze the asymptotic performance, and show that under a sum-rank condition on the CCI MIMO ARQ Channel, the proposed packet combining scheme is not Interference-limited. Simulation results are provided to demonstrate the gains offered by the proposed technique.
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Turbo packet combining for MIMO-ISI Channels with co-Channel Interference
2008Co-Authors: Tarik Ait Idir, Samir SaoudiAbstract:This work focuses on signal-level packet combining techniques for coded transmission over co-Channel Interference (CCI)-limited multiple input multiple output (MIMO) Channels with intersymbol Interference (ISI). A turbo packet combining algorithm that jointly equalizes multiple transmissions using the concept of virtual antennas is proposed. Block error rate (BLER) performance is investigated to show the great potential of the introduced technique for many scenarios.
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Successive Interference Cancellation Turbo Receivers for Frequency Selective Fading MIMO Systems
2007Co-Authors: Tarik Ait Idir, Samir SaoudiAbstract:In this contribution we present a new family of soft equalizers for multiple input multiple output (MIMO) systems with frequency selective fading. The proposed equalizers are based on soft successive Interference cancellation (SIC) of both intersymbol Interference (ISI) and multiple antenna Interference (MAI), and are applicable to both single user MIMO systems with ISI and MIMO multipath Channels with unknown co-Channel Interference (UCCI). Performance of proposed equalizers is evaluated through Monte Carlo simulations. Index Terms- MIMO multipath Channels, intersymbol inter-ference (ISI), unknown co-Channel Interference (UCCI), turbo equalization, successive Interference cancellation (SIC).
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Efficient MMSE-based space-time turbo equalization in the presence of co-Channel Interference
2006Co-Authors: Tarik Ait Idir, Samir SaoudiAbstract:This paper presents a new space-time iterative technique for equalizing multiple input multiple output (MIMO) Channels with unknown co-Channel Interference (UCCI). The proposed method is based on a successive Interference cancellation (SIC) technique derived under a minimum mean square error (MMSE) formalism. Computer simulations show that attractive performance can be achieved even with simple coding schemes.
Rhongho Jang - One of the best experts on this subject based on the ideXlab platform.
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Catch Me If You Can: Rogue Access Point Detection Using Intentional Channel Interference
IEEE Transactions on Mobile Computing, 2020Co-Authors: Rhongho Jang, Jeonil Kang, Aziz Mohaisen, Dae Hun NyangAbstract:In this paper, we introduce a powerful hardware-based rogue access point (PrAP), which can relay back and forth traffic between a legitimate AP and a wireless station, and act as a man-in-the-middle attacker. Our PrAP is built of two dedicated wireless routers interconnected physically, and can relay traffic rapidly between a station and a legitimate AP. Through experiments, we demonstrate that the state-of-the-art time-based rogue AP (rAP) detectors cannot detect our PrAP, although perhaps effective against software-based rAP. In demonstrating that, we unveil new insight into fundamentals of time-based detectors for software-based rAPs and their operation: such techniques are only capable of detecting rAPs due to the speed of wireless AP bridging. To address the threat of such PrAPs, we propose a new tool for network administrators, a PrAP-Hunter based on intentional Channel Interference. Our PrAP-Hunter is highly accurate, even under heavy traffic scenarios. Using a high-performance (desktop) and low-performance (mobile phone) experimental setups of our PrAP-Hunter in various deployment scenarios, we demonstrate close to 100 percent of detection rate, compared to 60 percent detection rate by the state-of-the-art. We show that our PrAP-Hunter is fast (takes 5-10 seconds), does not require any prior knowledge, and can be deployed in the wild by real-world experiments at 10 coffee shops.
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WISEC - Highly-accurate rogue access point detection using intentional Channel Interference: poster
Proceedings of the 10th ACM Conference on Security and Privacy in Wireless and Mobile Networks, 2017Co-Authors: Rhongho Jang, Jeonil Kang, Aziz Mohaisen, Dae Hun NyangAbstract:In this work, we introduce a powerful hardware-based rogue access point (PrAP), which can relay traffic between a legitimate AP and a wireless station, and act as a man-in-the-middle attacker. To defend against PrAPs, we propose PrAP-Hunter based on intentional Channel Interference. We demonstrate close to 100% of detection rate, compared to 60% detection rate by the state-of-the-art.
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highly accurate rogue access point detection using intentional Channel Interference poster
Wireless Network Security, 2017Co-Authors: Rhongho Jang, Jeonil Kang, Aziz Mohaisen, Dae Hun NyangAbstract:In this work, we introduce a powerful hardware-based rogue access point (PrAP), which can relay traffic between a legitimate AP and a wireless station, and act as a man-in-the-middle attacker. To defend against PrAPs, we propose PrAP-Hunter based on intentional Channel Interference. We demonstrate close to 100% of detection rate, compared to 60% detection rate by the state-of-the-art.
Aziz Mohaisen - One of the best experts on this subject based on the ideXlab platform.
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Catch Me If You Can: Rogue Access Point Detection Using Intentional Channel Interference
IEEE Transactions on Mobile Computing, 2020Co-Authors: Rhongho Jang, Jeonil Kang, Aziz Mohaisen, Dae Hun NyangAbstract:In this paper, we introduce a powerful hardware-based rogue access point (PrAP), which can relay back and forth traffic between a legitimate AP and a wireless station, and act as a man-in-the-middle attacker. Our PrAP is built of two dedicated wireless routers interconnected physically, and can relay traffic rapidly between a station and a legitimate AP. Through experiments, we demonstrate that the state-of-the-art time-based rogue AP (rAP) detectors cannot detect our PrAP, although perhaps effective against software-based rAP. In demonstrating that, we unveil new insight into fundamentals of time-based detectors for software-based rAPs and their operation: such techniques are only capable of detecting rAPs due to the speed of wireless AP bridging. To address the threat of such PrAPs, we propose a new tool for network administrators, a PrAP-Hunter based on intentional Channel Interference. Our PrAP-Hunter is highly accurate, even under heavy traffic scenarios. Using a high-performance (desktop) and low-performance (mobile phone) experimental setups of our PrAP-Hunter in various deployment scenarios, we demonstrate close to 100 percent of detection rate, compared to 60 percent detection rate by the state-of-the-art. We show that our PrAP-Hunter is fast (takes 5-10 seconds), does not require any prior knowledge, and can be deployed in the wild by real-world experiments at 10 coffee shops.
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WISEC - Highly-accurate rogue access point detection using intentional Channel Interference: poster
Proceedings of the 10th ACM Conference on Security and Privacy in Wireless and Mobile Networks, 2017Co-Authors: Rhongho Jang, Jeonil Kang, Aziz Mohaisen, Dae Hun NyangAbstract:In this work, we introduce a powerful hardware-based rogue access point (PrAP), which can relay traffic between a legitimate AP and a wireless station, and act as a man-in-the-middle attacker. To defend against PrAPs, we propose PrAP-Hunter based on intentional Channel Interference. We demonstrate close to 100% of detection rate, compared to 60% detection rate by the state-of-the-art.
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highly accurate rogue access point detection using intentional Channel Interference poster
Wireless Network Security, 2017Co-Authors: Rhongho Jang, Jeonil Kang, Aziz Mohaisen, Dae Hun NyangAbstract:In this work, we introduce a powerful hardware-based rogue access point (PrAP), which can relay traffic between a legitimate AP and a wireless station, and act as a man-in-the-middle attacker. To defend against PrAPs, we propose PrAP-Hunter based on intentional Channel Interference. We demonstrate close to 100% of detection rate, compared to 60% detection rate by the state-of-the-art.