REAM: RAKE receiver enhanced authentication method

He, Fangming; Wang, Wei; Man, Hong

doi:10.1109/milcom.2010.5680394

Cited by 13 publications

(3 citation statements)

References 13 publications

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“…Various channel features have been considered in this context. For example, in wireless radio systems, the power level was considered in [9]- [11], the impulse response of a wideband channel in [12]- [16], the frequency response of an orthogonal frequency division multiplexing (OFDM) transmission in [17], the power spectral densities in [18], and the time series of the received signal strength in a data/acknowledgment packet exchange in [19].…”

Section: Related Workmentioning

confidence: 99%

Cooperative Authentication in Underwater Acoustic Sensor Networks

Diamant

Casari

Tomasin

2019

IEEE Trans. Wireless Commun.

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With the growing use of underwater acoustic communications (UWAC) for both industrial and military operations, there is a need to ensure communication security. A particular challenge is represented by underwater acoustic networks (UWANs), which are often left unattended over long periods of time. Currently, due to physical and performance limitations, UWAC packets rarely include encryption, leaving the UWAN exposed to external attacks faking legitimate messages. In this paper, we propose a new algorithm for message authentication in a UWAN setting. We begin by observing that, due to the strong spatial dependency of the underwater acoustic channel, an attacker can attempt to mimic the channel associated with the legitimate transmitter only for a small set of receivers, typically just for a single one. Taking this into account, our scheme relies on trusted nodes that independently help a sink node in the authentication process. For each incoming packet, the sink fuses beliefs evaluated by the trusted nodes to reach an authentication decision. These beliefs are based on estimated statistical channel parameters, chosen to be the most sensitive to the transmitterreceiver displacement. Our simulation results show accurate identification of an attacker's packet. We also report results from a sea experiment demonstrating the effectiveness of our approach.

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Section: Related Workmentioning

confidence: 99%

Cooperative Authentication in Underwater Acoustic Sensor Networks

Diamant

Casari

Tomasin

2019

IEEE Trans. Wireless Commun.

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“…Then, it was extended to time varying channels [19], mobile scenarios [21], and frequency-selective Rayleigh channels [22]. In order to improve the authentication performance, the amplitude and phase of CFR were used to make an authentication in [11], [13] [2], [28] × × × × × CIR (channel gain, multipath delay) [14], [15] × × × × × CFR (amplitude) [18]- [22] [27] × × × × × CFR (amplitude, phase) [23], [24] × × × × × CFR (phase differences) [ the OFDM [23] and CDMA systems [24]. Moreover, phase differences between the two CFRs were used for authentication in a multi-carrier transmission systems [12].…”

Section: Introductionmentioning

confidence: 99%

Physical Layer Authentication Based on Channel Polarization Response in Dual-Polarized Antenna Communication Systems

Dong

Guo

et al. 2023

IEEE Trans.Inform.Forensic Secur.

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This study presents a novel approach for physical layer authentication based on channel polarization response (CPR). CPR is sensitive to variation in the physical properties of scatterers, and the CPR difference between various channels is higher than the channel frequency response (CFR) under rich scattering scenarios. Additionally, the estimation of CPR is continuous, the authentication interval can be adjusted according to the channel coherence time, then the proposed scheme can be applied to any rich scattering scenarios, including highly dynamic scenarios. Since the received polarization state is fixed during the channel coherence time, we can coherently stack the received polarization state to improve the signal to noise ratio (SNR) and the estimation accuracy of CPR, thereby achieving high authentication accuracy under ultra-low SNR. Moreover, since the transmitted polarization state of various transmitters is different, because of their unique hardware deficiencies, and since the CPR is dependent on the transmitted polarization state, the CPR of other transmitters is different, allowing the resolution of co-located attacks. We theoretically drive the false alarm probability, detection probability, optimal discriminant threshold, computational complexity, optimal stacking numbers, and optimal CPR points for authentication. Furthermore, extensive simulations and experiments are performed to verify the validity and effectiveness of the proposed scheme.

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“…Maurer [2] ſrstly proved that even when legitimate users have a worse channel than an eavesdropper, it is possible for them to generate a secret key through public communication over an unsecure yet authenticated channel. He et al [3], [4] exploited inherent features of wireless channels to achieve user authentication in OFDM and CDMA networks. Kamakaris [5] examined the feasibility of utilizing characteristics of a wireless channel between a transmitter/receiver pair to generate dynamic keys through existing encryption mechanisms.…”

Section: Introductionmentioning

confidence: 99%

A network coding method for channel signatures based key distribution

Wang

et al. 2012

2012 IEEE International Conference on Communications (ICC)

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To enhance network security, we propose a secret key generation and distribution method for multihop wireless OFDM networks. In this method, the inherent physical features of wireless channel signatures, including randomness and reciprocity, are exploited to generate secret keys. In addition, a network coding approach is introduced for key distribution between a pair of transmitter and receiver in a multi-hop network. Our proposed protocol constructs the secret key from multiple branches at the source and forwards partial key information through separate paths to the destination using a simple and robust network coding operation. Under our protocol, cooperative relay nodes cannot decipher the key due to the partial information available, which provides a strong encryption capability for multi-hop systems. Mathematical analysis and excessive simulations demonstrate the high effectiveness of our proposed scheme.

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REAM: RAKE receiver enhanced authentication method

Cited by 13 publications

References 13 publications

Cooperative Authentication in Underwater Acoustic Sensor Networks

Cooperative Authentication in Underwater Acoustic Sensor Networks

Physical Layer Authentication Based on Channel Polarization Response in Dual-Polarized Antenna Communication Systems

A network coding method for channel signatures based key distribution

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