Beyond PKI: Enhanced Authentication in Vehicular Networks via MIMO

Abdelaziz, Amr; Köksal, C. Emre; Burton, Ron; Barickman, Frank; Martin, J. C.; Weston, Josh; Woodruff, Ken

doi:10.1109/spawc.2018.8445990

Cited by 16 publications

(15 citation statements)

References 8 publications

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“…Thus, cross-layer authentication protocol which integrates PLA in RANs and cryptography-based authentication in core networks is considered. However, conventional cross-layer authentication protocols [11][12][13][14] cannot provide both a reliable authentication performance and small signaling overhead for 5G networks. For example, as mentioned earlier, the authentication protocol in [11] which supplements computational security of cryptography-based authentication by using PLA (i.e., information theoretical security) has excessive signaling overhead and would be limited for applications.…”

Section: Motivation and Local Securitymentioning

confidence: 99%

“…For example, as mentioned earlier, the authentication protocol in [11] which supplements computational security of cryptography-based authentication by using PLA (i.e., information theoretical security) has excessive signaling overhead and would be limited for applications. In contrary, the cross-layer authentication protocols in [12][13][14] have limitations in terms of authentication performance due to uncontrollable physical features in PLA. In addition, there is no theoretical analysis for the conventional cross-layer authentication protocols in terms of authentication performance and signaling overhead.…”

Section: Motivation and Local Securitymentioning

confidence: 99%

“…By using this integration strategy, a proposed protocol can reduce signaling overhead while providing a competitive authentication performance. This is the main difference with existing cross-layer authentication protocols based on simple concatenation and encapsulation operations [11][12][13][14].…”

mentioning

confidence: 92%

“…However, PLA is inherently difficult to guarantee authentication performance in poor communication environment. As in [11][12][13][14], cross-layer authentication schemes integrate PLA to cryptography-based authentication in order to compensate PLA, but simply cascading both layer schemes might be inefficient to apply in practical application due to the limited resources of the networks.…”

Section: Introductionmentioning

confidence: 99%

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Light-weight Physical Layer Aided Key Agreement and Authentication for the Internet of Things

Han¹,

Lee²,

Choi³

et al. 2021

Preprint

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In this paper, we propose a lightweight physical layer aided authentication and key agreement (PL-AKA) protocol in the internet of things (IoT). Conventional evolved packet system AKA (EPS-AKA) used in long-term evolution (LTE) systems may suffer from congestions in core networks by the large signaling overhead as the number of IoT devices increases. Thus, in order to alleviate the overhead, we consider a cross-layer authentication by integrating physical layer approaches to cryptography-based schemes. To demonstrate the feasibility of the PL-AKA, universal software radio peripheral (USRP) based tests are conducted as well as numerical simulations. The proposed scheme shows a significant reduction in signaling overhead compared to the conventional EPS-AKA in both simulation and experiment. Therefore, the proposed lightweight PL-AKA has the potential for practical and efficient implementation of large-scale IoT networks.

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Section: Motivation and Local Securitymentioning

confidence: 99%

Section: Motivation and Local Securitymentioning

confidence: 99%

mentioning

confidence: 92%

Section: Introductionmentioning

confidence: 99%

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Light-weight Physical Layer Aided Key Agreement and Authentication for the Internet of Things

Han¹,

Lee²,

Choi³

et al. 2021

Preprint

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“…The continuity of the vehicle's moving states can also assist in authentication. Abdelaziz and Koksal [32] use the angle information of the vehicle and the GPS position information to authenticate the vehicle. Lim and Tuladhar [33] use radar information for authentication.…”

Section: Related Workmentioning

confidence: 99%

Physical Layer Authentication Based on Nonlinear Kalman Filter for V2X Communication

et al. 2020

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Authentication is an important guarantee for vehicle to everything (V2X) commercial deployment. Currently, V2X security often use identity authentication schemes based on public key infrastructure (PKI). These schemes need to transmit certificates and signatures when sending safety-related information such as basic safety messages (BSMs), which need to occupy extra bandwidth and reduce the available channel capacity. So, V2X communication efficiency will be seriously affected in traffic congestion. In this paper, we propose a V2X authentication model based on physical layer characteristics. Then we use the Kalman filter to refine the iterative model and threshold model. The iterative model mainly realizes the priori and posteriori estimation of the current time based on the physical layer characteristics of the previous time, which provides the basis for the entire authentication process. The threshold model analyzes the mathematical characteristics of the priori estimation, and gives the calculation method of the authentication threshold. Since the conventional Kalman filter can only be used for linear discrete system, we use extended Kalman filter and unscented Kalman filter to extend the characteristics used for authentication to non-linearity. At the same time, iterative model and threshold model are improved according to these two algorithms. In terms of security and performance, we compare the proposed schemes with the conventional V2X authentication scheme and physical layer authentication scheme, and the effects of these schemes are analyzed by experiment. We select three characteristics for simulation: received signal strength indication (RSSI), the distance between the two vehicles, and the relative speed between the two vehicles. Then we analyze the process and effect of these two filters, and the factors that affect the threshold. Through experiments, the proposed authentication schemes can effectively take the responsibility of identity authentication in the V2X environment, and have high security level and low overhead, which can reduce the consumption of communication resources by security.

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RF Signal Feature Extraction in Integrated Sensing and Communication

Wang,

Sun,

Zhang

et al. 2023

IET Signal Processing

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Because of the open property of information sharing in integrated sensing and communication, it is inevitable to face security problems such as user information being tampered, eavesdropped, and copied. Radio frequency (RF) individual identification technology is an important means to solve its security problems at present. Whether using machine learning methods or current deep learning-based target fingerprint identification, its performance is based on how well the radio frequency features (RFF) are extracted. Since the received signal is affected by various factors, we believe that we should first find the intrinsic features that can describe the properties of the target, which is the key to enhance the RF fingerprint recognition. In this paper, we try to analyze the intrinsic characteristics of the components that influenced the signal by the transmitting source and derive a mathematical formula to describe the RF characteristics. We propose a method using dynamic wavelet transform and wavelet spectrum (DWTWS) to enhance RFF features. The performance of the proposed method was evaluated by experimental data. Using a support vector machine classifier, the recognition accuracy is 99.6% for 10 individuals at a signal-to-noise ratio (SNR) of 10 dB. In comparison with the dual-tree complex wavelet transform (DT-CWT) feature extraction method and the wavelet scattering transform method, the DWTWS method has increased the interclass distance of different individuals and enhanced the recognition accuracy. The DWTWS method is superior at low SNR, with performance improvements of 53.1% and 10.7% at 0 dB.

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Beyond PKI: Enhanced Authentication in Vehicular Networks via MIMO

Cited by 16 publications

References 8 publications

Light-weight Physical Layer Aided Key Agreement and Authentication for the Internet of Things

Light-weight Physical Layer Aided Key Agreement and Authentication for the Internet of Things

Physical Layer Authentication Based on Nonlinear Kalman Filter for V2X Communication

RF Signal Feature Extraction in Integrated Sensing and Communication

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