273 research outputs found
A Survey on Wireless Security: Technical Challenges, Recent Advances and Future Trends
This paper examines the security vulnerabilities and threats imposed by the
inherent open nature of wireless communications and to devise efficient defense
mechanisms for improving the wireless network security. We first summarize the
security requirements of wireless networks, including their authenticity,
confidentiality, integrity and availability issues. Next, a comprehensive
overview of security attacks encountered in wireless networks is presented in
view of the network protocol architecture, where the potential security threats
are discussed at each protocol layer. We also provide a survey of the existing
security protocols and algorithms that are adopted in the existing wireless
network standards, such as the Bluetooth, Wi-Fi, WiMAX, and the long-term
evolution (LTE) systems. Then, we discuss the state-of-the-art in
physical-layer security, which is an emerging technique of securing the open
communications environment against eavesdropping attacks at the physical layer.
We also introduce the family of various jamming attacks and their
counter-measures, including the constant jammer, intermittent jammer, reactive
jammer, adaptive jammer and intelligent jammer. Additionally, we discuss the
integration of physical-layer security into existing authentication and
cryptography mechanisms for further securing wireless networks. Finally, some
technical challenges which remain unresolved at the time of writing are
summarized and the future trends in wireless security are discussed.Comment: 36 pages. Accepted to Appear in Proceedings of the IEEE, 201
RIS-Assisted Physical Layer Authentication for 6G Endogenous Security
The physical layer authentication (PLA) is a promising technology which can
enhance the access security of a massive number of devices in the near future.
In this paper, we propose a reconfigurable intelligent surface (RIS)-assisted
PLA system, in which the legitimate transmitter can customize the channel
fingerprints during PLA by controlling the ON-OFF state of the RIS. Without
loss of generality, we use the received signal strength (RSS) based spoofing
detection approach to analyze the feasibility of the proposed architecture.
Specifically, based on the RSS, we derive the statistical properties of PLA and
give some interesting insights, which showcase that the RIS-assisted PLA is
theoretically feasible. Then, we derive the optimal detection threshold to
maximize the performance in the context of the presented performance metrics.
Next, the actual feasibility of the proposed system is verified via
proof-of-concept experiments on a RIS-assisted PLA prototype platform. The
experiment results show that there are 3.5% and 76% performance improvements
when the transmission sources are at different locations and at the same
location, respectively
How Physicality Enables Trust: A New Era of Trust-Centered Cyberphysical Systems
Multi-agent cyberphysical systems enable new capabilities in efficiency,
resilience, and security. The unique characteristics of these systems prompt a
reevaluation of their security concepts, including their vulnerabilities, and
mechanisms to mitigate these vulnerabilities. This survey paper examines how
advancement in wireless networking, coupled with the sensing and computing in
cyberphysical systems, can foster novel security capabilities. This study
delves into three main themes related to securing multi-agent cyberphysical
systems. First, we discuss the threats that are particularly relevant to
multi-agent cyberphysical systems given the potential lack of trust between
agents. Second, we present prospects for sensing, contextual awareness, and
authentication, enabling the inference and measurement of ``inter-agent trust"
for these systems. Third, we elaborate on the application of quantifiable trust
notions to enable ``resilient coordination," where ``resilient" signifies
sustained functionality amid attacks on multiagent cyberphysical systems. We
refer to the capability of cyberphysical systems to self-organize, and
coordinate to achieve a task as autonomy. This survey unveils the cyberphysical
character of future interconnected systems as a pivotal catalyst for realizing
robust, trust-centered autonomy in tomorrow's world
Wireless communication, sensing, and REM: A security perspective
The diverse requirements of next-generation communication systems necessitate awareness, flexibility, and intelligence as essential building blocks of future wireless networks. The awareness can be obtained from the radio signals in the environment using wireless sensing and radio environment mapping (REM) methods. This is, however, accompanied by threats such as eavesdropping, manipulation, and disruption posed by malicious attackers. To this end, this work analyzes the wireless sensing and radio environment awareness mechanisms, highlighting their vulnerabilities and provides solutions for mitigating them. As an example, the different threats to REM and its consequences in a vehicular communication scenario are described. Furthermore, the use of REM for securing communications is discussed and future directions regarding sensing/REM security are highlighted
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Environment-adaptive RF Sensing with Transferable ANN Features
Radio frequency (RF) sensing arises as a promising option for enabling the internet of things (IoT) applications that transform our life into a world of smart homes, smart cities, and smart industries. The innovation of IoT reveals the benefits of RF sensing across cost, pervasiveness, unobtrusiveness, and privacy. However, challenges like interference and multipath are underway in realizing those promises. Furthermore, crucial studies demonstrate the trade-offs in accuracy, accessibility, power consumption, and many other factors for undertaking RF sensing. This dissertation presents a set of studies, including RF channel model characterization, the design of a novel RF sensing system for indoor localization, and the environmental impact of RF exposure in such systems. The first part covers a use case of measurement-based RF channel modeling in a challenging environment. The second part introduces an environment-adaptive RF sensing system for indoor localization that consists of 1) a dynamic phase calibration de-noising method, and 2) The implementation of a localization system that utilizes an artificial neural network (ANN) with transferable features. Lastly, a collaboration work that explores the potential impact of RF radiation and how RF exposure could affect human health
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