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IEEE Access

Key Generation From Wireless Channels: A Review

Junqing Zhang, Trung Q. Duong, Alan Marshall, Roger Woods

Published Jan 1, 2016• 451 citations
Publisher

Abstract

Key generation from the randomness of wireless channels is a promising alternative to public key cryptography for the establishment of cryptographic keys between any two users. This paper reviews the current techniques for wireless key generation. The principles, performance metrics and key generation procedure are comprehensively surveyed. Methods for optimizing the performance of key generation are also discussed. Key generation applications in various environments are then introduced along with the challenges of applying the approach in each scenario. The paper concludes with some suggestions for future studies.

DOI
10.1109/access.2016.2521718

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Key generation from the randomness of wireless channels is a promising alternative to public key cryptography for the establishment of cryptographic keys between any two users. This paper reviews the current techniques for wireless key generation. The principles, performance metrics and key generation procedure are comprehensively surveyed. Methods for optimizing the performance of key generation are also discussed. Key generation applications in various environments are then introduced along with the challenges of applying the approach in each scenario. The paper concludes with some suggestions for future studies.
Nowadays wireless networks are highly concerned about security. Compared to wireless networks, wired networks are less prone to attacks. The physical layer eavesdropping attack has a significant impact on wireless network security. The use of cryptographic methods at the higher layers of the OSI model is necessary for traditional security in wireless networks. These cryptographic keys can be replaced with key generation at physical layer exploiting the unpredictable channel properties. Current methods for generating wireless keys at the physical layer are examined in this paper. Comprehensive surveys in this regard are conducted of the guiding principles, performance indicators, and key generation process. Techniques for enhancing the effectiveness of key generation are also reviewed. The difficulties of using the strategy in each situation are then discussed, along with key generation applications in diverse situations. The paper ends with several recommendations for future investigations.
With the burgeoning internet of things (IoT), securing communication becomes paramount. Traditional cryptography does not meet computational needs and brute-force attacks. This review explores the state-of-the-art physical layer secret key generation (PLKG) that takes advantage of the inherent reciprocity and randomness of wireless channels. We investigate cutting-edge techniques such as feature extraction networks, domain adversarial training, and deep learning-based approaches, evaluating their effects on the security and efficiency of key generation. In addition to these methods, the review addresses real-world challenges such as multi-user scenarios, reconciliation overhead, and inconsistent channel measurement. We believe that improved key generation rates and security can be achieved through the use of millimeter wave technology and full-duplex communication. To strengthen the robustness of key generation, the paper concludes by suggesting future directions, such as incorporating more random sources, such as physiological signals and sensor data. This comprehensive overview offers deep insights into the state-of-the-art and paves the way for reliable communication in ever more complicated IoT settings.
This chapter introduces basic ideas of information-theoretic models for generating secret keys via public discussion, and reviews recent research on applying these ideas to wireless networks. In these applications, wireless channels between transceivers are exploited as random sources for key generation, and the keys generated in such a way can be shown to be provably secure with information-theoretic guarantees. Classic information-theoretic key generation models are first introduced and applications of these fundamental results to key generation over wireless channels are then discussed. Some new directions that generalize and improve the basic scenarios for key generation are described. These new directions include a joint source-channel approach for key generation, a relay-assisted key generation approach, and key generation under active attacks.
The advent of industry 4.0 with its idea of individualized mass production will significantly increase the demand for more flexibility on the production floor. Wireless communication provides this type of flexibility but puts the automation system at risk as potential attackers now can eavesdrop or even manipulate the messages exchanged even without getting access to the premises of the victim. Cryptographic means can prevent, such attacks if applied properly. One of their core components is the distribution of keys. The generation of keys from channel parameters seems to be a promising approach in comparison with classical approaches based on public key cryptography as it avoids computing intense operations for exchanging keys. In this paper, we investigated key generation approaches using channel parameters recorded in a real industrial environment. Our key results are that the key generation may take unpredictable long and that the resulting keys are of low quality with respect to the test for randomness we applied.
As wireless networks become increasingly integral to modern communication infrastructures, the need for robust security mechanisms to protect sensitive information has never been more critical. Quantum Key Distribution (QKD) presents a revolutionary approach to secure communications by leveraging the principles of quantum mechanics to ensure the theoretical unbreakability of cryptographic keys. This study provides a comprehensive review of the current status of QKD technologies within the context of wireless networks, utilizing secondary data sources to analyze recent advancements, implementations, and challenges. The paper begins by outlining the fundamental principles of QKD and its superiority over classical cryptographic methods. It then examines recent developments in QKD protocols and their adaptability to wireless environments, highlighting successful case studies and experimental trials. Key challenges, including technological limitations, integration hurdles with existing network infrastructures, and cost considerations, are discussed in detail. The review also explores emerging trends and innovations, such as hybrid QKD systems and satellite-based implementations, which promise to expand the applicability and feasibility of QKD in wireless networks. Finally, the study delineates future prospects and potential research directions, emphasizing the need for interdisciplinary collaboration to overcome existing limitations and fully realize the potential of QKD in enhancing wireless network security.
Due to the broadcast nature of wireless channels, wireless communication is vulnerable to eavesdropping, message modification, and node impersonation. Securing the wireless communication requires the shared secret keys between the communicating entities. Traditional security schemes rely on public key infrastructures and cryptographic algorithms to manage secret keys. Recently, many physical-layer-based methods have been proposed as alternative solutions for key generation in wireless networks. These methods exploit the inherent randomness of the wireless fading channel to generate secret keys while providing information-theoretical security without intensive cryptographic computations. This article provides an overview of the existing PHY-based key generation schemes exploiting the randomness of the wireless channels. Specifically, we first introduce the fundamental and general framework of the PHY-based key generation schemes and then categorize them into two classes: received-signal-strength-based and channel- phase-based protocols. Finally, we present a performance comparison of them in terms of key disagreement probability, key generation rate, key bit randomness, scalability, and implementation issues.