Mobile Physical-Layer Authentication Using Channel State Information and Conditional Recurrent Neural Networks

Germain, Ken St.; Kragh, Frank

doi:10.1109/vtc2021-spring51267.2021.9448652

Cited by 5 publications

(5 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In this section, we first compare the similarities and differences between cyclic redundancy check and cryptographic message authentication, which is inspiring for our proposed scheme. Then we conduct a linear attack analysis to CRC‐based message authentication proposed in [22].…”

Section: Phylock‐crc‐based Message Authenticationmentioning

confidence: 99%

“…We conduct a security analysis of PHYLOCK and prove that PHYLOCK is more secure than the traditional physical layer key generation. • We mathematically conduct a security analysis of the CRCbased message authentication scheme proposed by [22]. The paper points out that the previous scheme is not secure because of the linear operation of CRC and XOR encryption.…”

Section: Our Contributionsmentioning

confidence: 99%

“…Different from the cryptography‐based lightweight security algorithms, the proposed framework extracts one‐time keys from the physical wireless channels and achieves message authentication through the PHYLOCK‐CRC‐based message authentication scheme, which has advantages in complexity and spectral efficiency. Physical layer offered chain key (PHYLOCK) structure is proposed to provide one‐time keys for data encryption and PHYLOCK‐CRC‐based message authentication. We conduct a security analysis of PHYLOCK and prove that PHYLOCK is more secure than the traditional physical layer key generation. We mathematically conduct a security analysis of the CRC‐based message authentication scheme proposed by [22]. The paper points out that the previous scheme is not secure because of the linear operation of CRC and XOR encryption. PHYLOCK‐CRC‐based message authentication scheme is proposed as a secure variant of the previous scheme.…”

Section: Introductionmentioning

confidence: 99%

“…For physical layer authentication, it includes channel-based and RF fingerprint-based authentication. The channel-based authentication [21,22] verifies the identity of the transmitter by utilizing the unique characteristics of the channel state information (CSI) between the legal communication parties. Paper [23] proposes an authentication scheme based on channel coding, where the shared key and CSI between two legitimate devices are combined against the adversary's attack.…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

A lightweight encryption and message authentication framework for wireless communication

Wang

Huang

et al. 2022

IET Communications

View full text Add to dashboard Cite

Confidentiality and authentication are two important security properties of wireless communication. There are currently two types of research in wireless communication security: one is based on cryptography, which can be too complicated for some wireless systems; the other is based on physical layer characteristics, which has some security problems and cannot work as well as the cryptography‐based method. In this paper, a lightweight encryption and message authentication framework for wireless communication is proposed. The proposed framework has lower complexity than the cryptography‐based method and works more securely and efficiently than the classical physical layer method. For the encryption, a physical layer offered chain key (PHYLOCK) structure is proposed to generate one‐time keys, which are then XOR‐ed with the plaintext to generate the ciphertext. A security analysis of PHYLOCK is performed and it is proved that it has better security features than the traditional physical layer key generation. For the message authentication, three types of PHYLOCK‐CRC‐based message authentication schemes are developed whose generator polynomial is determined by one‐time keys generated by PHYLOCK. PHYLOCK‐CRC‐based message authentication detects not only random errors introduced by noises but also malicious attacks. The error‐detecting and anti‐attack capabilities are analyzed mathematically. Compared to the standard CRC, PHYLOCK‐CRC‐based message authentication has a decline in error correction capability but is enhanced with cryptographic security features. Monte‐Carlo simulations are provided to evaluate the proposed scheme.

show abstract

Section: Phylock‐crc‐based Message Authenticationmentioning

confidence: 99%

Section: Our Contributionsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

A lightweight encryption and message authentication framework for wireless communication

Wang

Huang

et al. 2022

IET Communications

View full text Add to dashboard Cite

show abstract

“…Physical Layer AuthenticationContinuous authentication aims to continuously verify the identity of the endpoint during a communication session. AI-based PLA is considered as a potential solution, where AI algorithms can effectively extract device features from the communication channel and continuously verify the identity of users and devices[48]. Xie et al[149] conducted a detailed survey on existing PLA technologies, and they classified IoT device features into detecting device-based and channel-based features.Compared to device-based features, channel-based features are more difficult to copy or imitate, which provides improved security for device authentication.…”

mentioning

confidence: 99%

Automation and Orchestration of Zero Trust Architecture:Potential Solutions and Challenges

Cao¹,

Pokhrel²,

Zhu³

et al. 2022

Preprint

View full text Add to dashboard Cite

<p>Zero Trust Architecture (ZTA) is a paradigm shift in how we protect data, stay connected, and access resources. ZTA is non-perimeter based defense, which has been emerging as a promising revolution in the cybersecurity field. It can be used to continuously maintain security by safeguarding against attacks both from inside and outside of the network system. However, automation and orchestration ZTA, an essential direction towards its seamless deployments over real-word networks, have been poorly understood in literature. In this paper, we first identify the bottlenecks, discuss the background of ZTA and compare it with traditional perimeter-based security architectures. More importantly, we present a comprehensive direction towards the automation and orchestration of ZTA by employing AI techniques. In other words, the key potential and roles of celebrates AI techniques for the automation and orchestration of ZTA are demonstrated for further exploration. Overall, in this review paper, we develop a foundational view on the challenges and potential enablers for the automation and orchestration of ZTA.</p>

show abstract

A Deep Learning and Channel Sounding Based Data Authentication and QoS Enhancement Mechanism for Massive IoT Networks

Kumar¹,

Joshi²,

Chauhan³

et al. 2023

Wireless Pers Commun

View full text Add to dashboard Cite

Mobile Physical-Layer Authentication Using Channel State Information and Conditional Recurrent Neural Networks

Cited by 5 publications

References 25 publications

A lightweight encryption and message authentication framework for wireless communication

A lightweight encryption and message authentication framework for wireless communication

Automation and Orchestration of Zero Trust Architecture:Potential Solutions and Challenges

A Deep Learning and Channel Sounding Based Data Authentication and QoS Enhancement Mechanism for Massive IoT Networks

Contact Info

Product

Resources

About