Physical-Layer Security in 6G Networks

Mucchi, Lorenzo; Jayousi, Sara; Caputo, Stefano; Panayırcı, Erdal; Shahabuddin, Shahriar; Bechtold, Jonathan; Morales, Ivan; Stoica, Razvan-Andrei; Abreu, Giuseppe; Haas, Harald

doi:10.1109/ojcoms.2021.3103735

Cited by 73 publications

(32 citation statements)

References 80 publications

(106 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Eliminating PLS design and implementations flaws that might otherwise allow attackers to break it may turn out to be more difficult compared to implementations of cryptographical methods, where much broader knowledge and experience, both in theory and practice, is available. Building on the vast amount of literature on PLS and proposals to leverage PLS for node authentication, message integrity, message confidentiality and availability enhancements [39], first papers providing a comprehensive overview and analysis of PLS applicability in 6G have been recently published such as in [40].…”

Section: ) Physical Layer Securitymentioning

confidence: 99%

Security and Trust in the 6G Era

Ziegler¹,

Schneider

Viswanathan

et al. 2021

IEEE Access

View full text Add to dashboard Cite

A comprehensive set of security technology enablers will be critically required for communication systems for the 6G era of the 2030s. Trustworthiness must be assured across IoT, heterogenous cloud and networks, devices, sub-networks, and applications. The 6G threat vector will be defined by 6G architectural disaggregation, open interfaces and an environment with multiple stakeholders. Broadly decomposed into domains of cyber-resilience, privacy and trust and their respective intersection, we explore relevant security technology enablers including automated software creation and automated closedloop security operation, privacy preserving technologies, hardware and cloud embedded anchors of trust, quantum-safe security, jamming protection and physical layer security as well as distributed ledger technologies. Artificial intelligence and machine learning (AI/ML) as a key technology enabler will be pervasive and of pivotal relevance across the security technology stack and architecture. A novel vision for a trustworthy Secure Telecom Operation Map is developed as part of the automated closed loop operations paradigm.

show abstract

Section: ) Physical Layer Securitymentioning

confidence: 99%

Security and Trust in the 6G Era

Ziegler¹,

Schneider

Viswanathan

et al. 2021

IEEE Access

View full text Add to dashboard Cite

show abstract

“…In this context, 6G communication systems should automatically detect proactive threats with intelligent risk mitigation and self-sustaining operation. To this end, AI-based trust and security become promising solutions to accurately identify and quickly respond to potential threats in an automatic manner [80]. Besides some new threats, 6G networks must cope with existing security issues in formergeneration networks, e.g., SDN, multi-access edge computing (MEC), and NFV.…”

Section: B Trust and Securitymentioning

confidence: 99%

Applications of Explainable AI for 6G: Technical Aspects, Use Cases, and Research Challenges

Wang¹,

Qureshi²,

Miralles-Pechuaán³

et al. 2021

Preprint

View full text Add to dashboard Cite

When 5G began its commercialisation journey around 2020, the discussion on the vision of 6G also surfaced. Researchers expect 6G to have higher bandwidth, coverage, reliability, energy efficiency, lower latency, and, more importantly, an integrated "human-centric" network system powered by artificial intelligence (AI). Such a 6G network will lead to an excessive number of automated decisions made every second. These decisions can range widely, from network resource allocation to collision avoidance for self-driving cars. However, the risk of losing control over decision-making may increase due to high-speed data-intensive AI decision-making beyond designers and users' comprehension. The promising explainable AI (XAI) methods can mitigate such risks by enhancing the transparency of the black box AI decision-making process. This survey paper highlights the need for XAI towards the upcoming 6G age in every aspect, including 6G technologies (e.g., intelligent radio, zero-touch network management) and 6G use cases (e.g., industry 5.0). Moreover, we summarised the lessons learned from the recent attempts and outlined important research challenges in applying XAI for building 6G systems. This research aligns with goals 9, 11, 16, and 17 of the United Nations Sustainable Development Goals (UN-SDG) 1 , promoting innovation and building infrastructure, sustainable and inclusive human settlement, advancing justice and strong institutions, and fostering partnership at the global level.

show abstract

“…This implies that the eavesdropper does not obtain any information about the message and it also implies that the legitimate receiver is always able to correctly decode. Physical layer security mechanisms are the first line of defense [ 20 ] for future wireless communications systems. The ZOSC provides a very strong first line of defense.…”

Section: Introductionmentioning

confidence: 99%

On the Zero-Outage Secrecy-Capacity of Dependent Fading Wiretap Channels

Jorswieck¹,

Lin²,

Besser³

2022

Entropy

View full text Add to dashboard Cite

It is known that for a slow fading Gaussian wiretap channel without channel state information at the transmitter and with statistically independent fading channels, the outage probability of any given target secrecy rate is non-zero, in general. This implies that the so-called zero-outage secrecy capacity (ZOSC) is zero and we cannot transmit at any positive data rate reliably and confidentially. When the fading legitimate and eavesdropper channels are statistically dependent, this conclusion changes significantly. Our work shows that there exist dependency structures for which positive zero-outage secrecy rates (ZOSR) are achievable. In this paper, we are interested in the characterization of these dependency structures and we study the system parameters in terms of the number of observations at legitimate receiver and eavesdropper as well as average channel gains for which positive ZOSR are achieved. First, we consider the setting that there are two paths from the transmitter to the legitimate receiver and one path to the eavesdropper. We show that by introducing a proper dependence structure among the fading gains of the three paths, we can achieve a zero secrecy outage probability (SOP) for some positive secrecy rate. In this way, we can achieve a non-zero ZOSR. We conjecture that the proposed dependency structure achieves maximum ZOSR. To better understand the underlying dependence structure, we further consider the case where the channel gains are from finite alphabets and systematically and globally solve the ZOSC. In addition, we apply the rearrangement algorithm to solve the ZOSR for continuous channel gains. The results indicate that the legitimate link must have an advantage in terms of the number of antennas and average channel gains to obtain positive ZOSR. The results motivate further studies into the optimal dependency structures.

show abstract

Physical-Layer Security in 6G Networks

Cited by 73 publications

References 80 publications

Security and Trust in the 6G Era

Security and Trust in the 6G Era

Applications of Explainable AI for 6G: Technical Aspects, Use Cases, and Research Challenges

On the Zero-Outage Secrecy-Capacity of Dependent Fading Wiretap Channels

Contact Info

Product

Resources

About