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On the Security of Millimeter Wave Vehicular Communication Systems using Random Antenna Subsets

Mohammed E. Eltayeb, Junil Choi, Tareq Y. Al-Naffouri, Robert W. Heath Jr

arXiv:1609.04499v1cs.ITmath.IT

TL;DR

Vehicular communication can support safety and traffic applications, but unsecured links face threats and higher-layer encryption entails key-management overhead. This paper uses randomly selected antenna subsets for keyless PHY security, reporting high secrecy throughput compared with conventional and switched arrays.

  • Problem

    Vehicular links face security threats, while higher-layer encryption requires storing and exchanging keys and can leave links unsecured if keys are compromised or distribution is difficult.

    Source: §I · p. 1
  • Method

    The technique randomly selects antennas to beamform each symbol coherently toward the receiver while using the remaining antennas to create noise-like radiation elsewhere.

    Source: §I · p. 1, §III · p. 2
  • Results

    The proposed technique provides high secrecy throughput compared with conventional and switched array techniques.

    Source: §VI · p. 5
  • Takeaways & Limitations

    The authors conclude that the technique avoids encryption keys and additional communication and processing overhead at the target receiver, making it favorable for time-critical road-safety applications and vehicular communications generally.

    Source: §VI · p. 5

Abstract

from arXiv · show

Millimeter wave (mmWave) vehicular communica tion systems have the potential to improve traffic efficiency and safety. Lack of secure communication links, however, may lead to a formidable set of abuses and attacks. To secure communication links, a physical layer precoding technique for mmWave vehicular communication systems is proposed in this paper. The proposed technique exploits the large dimensional antenna arrays available at mmWave systems to produce direction dependent transmission. This results in coherent transmission to the legitimate receiver and artificial noise that jams eavesdroppers with sensitive receivers. Theoretical and numerical results demonstrate the validity and effectiveness of the proposed technique and show that the proposed technique provides high secrecy throughput when compared to conventional array and switched array transmission techniques.

I. INTRODUCTION

Vehicular communications support safety and traffic applications, but security threats and the overhead and key-management demands of higher-layer encryption complicate protection. The paper proposes keyless PHY security using randomized antenna subsets to direct coherent transmission to the receiver and noise-like radiation elsewhere.

I. INTRODUCTION

  • Future ITS applications use mmWave bandwidth to exchange raw LIDAR, radar, and other sensor data for driver assistance and safety functions.Vehicular communication also supports traffic efficiency and infotainment.Source: §I · p. 1
  • Higher-layer encryption requires storing and regularly exchanging keys, adding processing and communication overhead and becoming complex for time-sensitive, decentralized ITS.The cited discussion also notes that compromised keys or difficult key distribution can leave links unsecured.Source: §I · p. 1
  • Prior keyless PHY approaches use directional beamforming, distributed arrays, dual beams, or switched arrays to create interference that degrades eavesdropper channels without affecting the receiver.Fully digital precoding in some approaches is difficult under mmWave RF-chain, hardware, and power constraints; switched-array techniques can be breached by exploiting array sparsity.Source: §I · p. 1
  • Random antenna subsets produce coherent transmission toward the receiver and noise-like signals that jam potential eavesdroppers.The technique does not require exchanging keys between vehicles.Source: §I · pp. 1–2

II. SYSTEM MODEL

The model considers a mmWave vehicle-to-vehicle link with a transmitter, intended receiver, and one or more eavesdroppers. It assumes receiver-angle knowledge at the transmitter and a narrowband LOS model with a two-ray road reflection.

II. SYSTEM MODEL

  • The transmitter has NT antennas and one RF chain, while the receiver has NR antennas; the transmitter knows the receiver’s angular location but not the eavesdroppers’.The model uses a ULA with isotropic elements along the x-axis, while noting that the technique can adapt to arbitrary antenna structures.Source: §II · p. 2, Figure 2 · p. 2
  • A unit-norm transmit beamforming vector weights the data symbol, and a unit-norm receive combining vector combines the receiver’s antenna signals.The signal model assumes a narrowband line-of-sight channel with perfect synchronization.Source: §II · p. 2
  • The channel model includes a dominant road-reflected path; when antenna-height product is much smaller than vehicle distance, both paths combine at the same azimuth AoA.The receiver beam is assumed aligned toward the transmitter for maximum reception.Source: §II · p. 2

III. MILLIMETER WAVE SECURE TRANSMISSION

The proposed analog PHY technique randomizes sidelobes by selecting a new antenna subset for each symbol while arranging the remaining antennas for destructive combination at the receiver. This preserves a fixed receiver gain reduction while producing noise-like interference in other directions, without fully digital precoding or antenna switches.

III. MILLIMETER WAVE SECURE TRANSMISSION

  • Randomly selecting a coherent-beamforming antenna subset for each symbol randomizes sidelobes and produces noise-like signals away from the receiver.The approach uses neither a fully digital array nor antenna switches.Source: §III · p. 2
  • The remaining antennas are set to combine destructively at the receiver, causing a fixed gain reduction there while malicious eavesdroppers observe noise-like interference.The antenna indices are randomized for each symbol transmission.Source: §III · p. 2
  • The receiver signal is expressed along its target direction, while a separate received-signal expression describes the eavesdropper’s channel and noise.The model identifies gR as receiver channel gain, NR as receiver array gain, and NT as a power-normalization term.Source: §III · p. 3

IV. PERFORMANCE EVALUATION

The section defines secrecy throughput from the receiver and eavesdropper SNRs, then derives the eavesdropper SNR using the artificial-noise term’s mean and variance.

IV. PERFORMANCE EVALUATION

  • The passage identifies γR as the SNR at the target receiver and γE as the SNR at the eavesdropper, and defines a+ as max{0, a}.Source: §IV · p. 3
  • The receiver-SNR expression includes a reflected-path phase term, with ΦR defined as the phase angle between the receiver’s direct and reflected paths.The passage relates the phase term to 2 sin^2(ΦR/2).Source: §IV · p. 3
  • For sufficiently large NT, the artificial-noise term β is approximated as complex Gaussian and characterized by its mean and variance for the eavesdropper-SNR derivation.The lemma applies when θR ≠ θE.Source: §IV · p. 3
  • Figure 3 compares numerical and theoretical secrecy throughput across eavesdropper angles for NT = 32, M = 24 and NT = 16, M = 12.Theoretical values use equation (18).Source: Figure 3 · p. 4

V. NUMERICAL RESULTS AND DISCUSSIONS

The proposed technique maintains high secrecy throughput across eavesdropper angles except at the receiver’s angle, and is especially better than switched arrays when the eavesdropper is nearby. Its subset size trades receiver beamforming gain against eavesdropper artificial noise.

V. NUMERICAL RESULTS AND DISCUSSIONS

  • The simulations use a 60 GHz, 50 MHz V2V link with NT = 32 by default, transmitter power of 37 dBm, and fixed path-loss exponent 2.The stated transmitter-to-receiver and transmitter-to-eavesdropper distances are 30 m and 10 m.Source: §V · p. 4
  • As M increases, secrecy throughput rises, plateaus, then falls; the optimal subset size balances receiver beamforming gain against eavesdropper artificial-noise variance.Figure 4(a) plots throughput versus M, and Figure 4(b) shows beam variance at θE = 50° and 95°.Source: Figure 4 · p. 4, §V · p. 4
  • Secrecy throughput is high at all eavesdropper angles except θR = 100°, and the proposed technique beats switched arrays especially when the eavesdropper is close to the legitimate receiver.Switched arrays provide comparable throughput overall, while conventional arrays perform poorly, especially with fewer transmit antennas.Source: §V · p. 4
  • The proposed technique provides higher secrecy throughput and beam-pattern variance than switched arrays without extra antenna switches, using antennas that switched arrays leave idle.The proposed technique uses NT − M antennas to generate artificial noise; the resulting use of all antennas avoids the sparse array that could be exploited to attack switched arrays.Source: §V · p. 5

VI. CONCLUSIONS

The proposed PHY-layer technique uses large mmWave antenna arrays to jam eavesdroppers with sensitive receivers, enhancing link security. It provides high secrecy throughput compared with conventional and switched array techniques without encryption keys or additional communication and processing overhead at the target receiver.

VI. CONCLUSIONS

  • The technique provides high secrecy throughput compared with conventional and switched array techniques.The conclusion also says it needs no encryption/decryption keys or additional communication and processing overhead at the target receiver.Source: §VI · p. 5
  • Large mmWave antenna arrays jam eavesdroppers with sensitive receivers, enhancing communication-link security.Source: §VI · p. 5
  • The authors describe the technique as favorable for time-critical road-safety applications and vehicular communications generally.Source: §VI · p. 5
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