Supervised Learning for Physical Layer Based Message Authentication in URLLC Scenarios

Weinand, Andreas; Sattiraju, Raja; Karrenbauer, Michael; Schotten, Hans D.

doi:10.1109/vtcfall.2019.8891424

Cited by 12 publications

(5 citation statements)

References 16 publications

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“…These properties contrast with encryption-based, which assumes an eavesdropper has limited computational power to solve complex mathematical problems quickly [21]. Consequently, leveraging PLS with cryptographic techniques such as authentication and key generation is a powerful approach to secure confidential communications in future wireless (URLLC) [33], vehicular ad hoc networks (VANETs) [34], and sensor communications [35].…”

Section: Physical Layer Security For Xg Networkmentioning

confidence: 99%

Interplay between Physical Layer Security and Blockchain Technology for 5G and Beyond: A Comprehensive Survey

Ghourab¹,

Jaafar²,

Bariah³

et al. 2023

Preprint

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Fifth-generation and beyond (5G and xG) wireless networks are envisioned to meet the requirements of various vertical applications that require higher traffic throughput, ultra-massive connectivity, extremely low latency, and high quality of service. Disruptive technologies, such as massive multiple-input multiple-output, millimeter wave, and multiple access are being deployed to meet these requirements. However, the deployment of these technologies poses several challenges, including the lack of network transparency, management decentralization, and reliability. In addition, the heterogeneity of these networks raises security concerns, particularly, confidentiality, privacy, and trustworthiness. Typically, networks rely on encryption techniques at higher layers to ensure security and privacy. However, due to the emergence of novel computing paradigms, such as quantum computing, traditional security approaches are no longer sufficient to protect over-the-air communications. Therefore, 5G/xG networks must consider smarter and more efficient security techniques to operate seamlessly and efficiently. Within this context, physical layer security (PLS) and blockchain represent promising solutions to complement existing methods. By exploiting the characteristics of wireless links, PLS can enhance the security of wireless communications, while blockchain can guarantee the decentralization, integrity, and trustworthiness of networks. Motivated by these technological advancements, this paper provides an in-depth review of the existing literature on PLS and blockchain. Then, for the first time, we present a framework for the integration of PLS with blockchain in 5G/xG systems. We begin by providing a thorough discussion about the potential of PLS and blockchain for 5G/xG systems. Next, we present our vision of a cross-layer architecture that leverages both PLS and blockchain in 5G/xG networks. Finally, we identify related challenges and open issues and shed light on future research directions.

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Section: Physical Layer Security For Xg Networkmentioning

confidence: 99%

Interplay between Physical Layer Security and Blockchain Technology for 5G and Beyond: A Comprehensive Survey

Ghourab¹,

Jaafar²,

Bariah³

et al. 2023

Preprint

View full text Add to dashboard Cite

show abstract

“…In (Forssell, et al 2019), the authors use a single input single output system in order to detect the transmitter of data packets based on the respective line-of-sight components. The authors in (Weinand, et al 2019) propose the application of supervised learning for channel based PLA within URLLC in a static environment. In (Wang, et al 2017), the authors propose the usage of extreme learning machines for PLA.…”

Section: Related Workmentioning

confidence: 99%

Naïve Bayes Supervised Learning based Physical Layer Authentication: Anti-Spoofing techniques for Industrial Radio Systems

Weinand

Lipps

Karrenbauer

et al. 2023

iccws

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Physical Layer Security (PLS) based authentication schemes are an alternative to conventional security schemes such as e.g. certificates or Message Authentication Codes (MACs). They can provide a more lightweight solution compared to traditional cryptography in order to meet the requirement of secure data transmission. However, errors in Physical Layer Authentication (PLA) techniques can occur due to adverse influences resulting from PLS schemes such as receiver noise or fading channels. Skillfull methods are therefore required in order to detect anormal system behaviour. One promising solution are supervised classification schemes. The application of Naïve Bayes (NB) classifiers for PLA is therefore proposed and evaluated within this work. Prior to that, we analyse the resource efficiency within typical Ultra Reliable Low Latency Communication (URLLC) applications and conduct a security overhead analysis. We propose strategies in order to overcome the problem of missing training data from either the URLLC user or attacker node. A real world Software Defined Radio (SDR) based testbed using OFDM (Orthogonal Frequency Division Multiplexing) is implemented in order to evaluate the performance of NB based PLA. The measurements are conducted within the german campus network frequency band (LTE band 43). Further, we conduct a hyperparameter optimization (HPO) based on random search. The investigated classifiers show promising results in terms of authentication accuracy and Receiver Operating Characteristic (ROC) curve performance.

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“…In this context, the pioneering concept of physical layer authentication (PLA) was introduced in [34]. These insights have been applied to a variety of typologies, including ultra-reliable low-latency communications (URLLC) [35], vehicular ad hoc networks (VANETs) [36], and sensor communications [37].…”

Section: Physical Layer Security For Xg Networkmentioning

confidence: 99%

Interplay between Physical Layer Security and Blockchain Technology for 5G and Beyond: A Comprehensive Survey

Ghourab¹,

Jaafar²,

Bariah³

et al. 2023

Preprint

View full text Add to dashboard Cite

Fifth-generation and beyond (5G and xG) wireless networks are envisioned to meet the requirements of vertical applications like high traffic throughput, ultra-massive connectivity, extremely low latency, and high quality of service. Disruptive technologies, such as massive multiple-input multiple-output, millimeter wave, and multiple access are being deployed to meet these requirements. However, their deployment poses several challenges, including a lack of network transparency, management decentralization, and reliability. Moreover, the heterogeneity of future networks raises security concerns, e.g., confidentiality, privacy, and trustworthiness. Indeed, due to the emergence of novel paradigms, e.g., quantum computing, traditional security approaches are no longer sufficient to protect over-the-air communications. Hence, 5G/xG networks must consider smart security techniques to operate seamlessly and efficiently. Within this context, physical layer security (PLS) and blockchain represent promising solutions to complement existing methods. By exploiting the characteristics of wireless links, PLS can enhance the security of communications, while blockchain may enable networks' decentralization, integrity, and trustworthiness. Motivated by these advancements, we provide an in-depth review of the existing PLS and blockchain literature. Then, for the first time in the literature, we present a framework to integrate PLS with blockchain in 5G/xG systems. We first provide a thorough discussion about the potential of PLS and blockchain for 5G/xG systems. Then, we present our vision of a cross-layer architecture that leverages PLS and blockchain. Through a case study, we demonstrate the high potential of cross-layer design to improve the security of vehicular networks. Finally, we identify related challenges and shed light on future research directions.

show abstract

Supervised Learning for Physical Layer Based Message Authentication in URLLC Scenarios

Cited by 12 publications

References 16 publications

Interplay between Physical Layer Security and Blockchain Technology for 5G and Beyond: A Comprehensive Survey

Interplay between Physical Layer Security and Blockchain Technology for 5G and Beyond: A Comprehensive Survey

Naïve Bayes Supervised Learning based Physical Layer Authentication: Anti-Spoofing techniques for Industrial Radio Systems

Interplay between Physical Layer Security and Blockchain Technology for 5G and Beyond: A Comprehensive Survey

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