1,721,079 research outputs found
Enabling the multi facets of privacy in modern communication systems via cutting-edge techniques and protocols
Full text linkThe rapid advancement of digital communication technologies, accelerated by the conver gence of the Internet of Things (IoT), Industrial IoT (IIoT), and 5G networks, has revolutionized information sharing while introducing new privacy and security challenges in areas such as data privacy, trust management, and secure communications. This work introduces a privacy-centered approach to tackling emerging security challenges, starting with a novel fog-enabled Social Internet of Things (SIoT) architecture that integrates Trust Management Systems (TMS) to enhance service discovery, trustworthiness, and resource efficiency. To protect data at the network edge, the thesis develops a distributed data dissemination framework that utilizes searchable encryption and edge computing to ensure robust data privacy. Additionally, it explores the influence of carrier frequency on the resilience of Radio Frequency Fingerprinting (RFF) within Physical Layer Security (PLS), reinforcing device-level authentication with privacy-preserving elements. Finally, the thesis proposes an end-to-end cryptographic framework for Lawful Interception (LI) in Beyond 5G networks, aiming to strike a balance between stringent privacy protections and compliance with regulatory standards. Together, these contributions offer a multifaceted approach to privacy, blending architectural innovations, encryption mechanisms, and scalable frameworks for the next generation of secure communication networks
Indoor residual clutter characterization for UWB sensor radar networks
No full textSensor radar networks (SRNs) employing ultra-wideband (UWB) signals are a prominent solution for accurate localization and tracking in indoor environments. However, tracking device-free targets via SRNs is challenging, especially in environments heavily affected by clutter. Clutter characterization is vital to derive performance benchmarks as well as to design inference algorithms for SRNs. Examples of clutter statistical characterization have been provided in the literature for conventional SRNs employing narrowband signals in outdoor scenarios. However, considerably less effort has been devoted for SRNs employing UWB signals in indoor environments. This paper proposes an approach to characterize the clutter-plus-noise component after mitigation filtering in UWB SRNs. In particular, the statistical properties of the residual clutter-plus-noise are derived by applying statistical tests on measurements gathered in an indoor environment via UWB sensor radar networks
An empirical study for a critical analysis of two imputation procedures: hot-deck and EM algorithm
No full textAn empirical study for a critical analysis of two imputation procedures: hot-dek and EM-algorithm
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Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
On the Performance of the IEEE 802.11p/bd Sensing Procedure under Co-channel C-V2X Interference
No full textOn the path towards fully connected and automated vehicles, two sets of technologies are under consideration for enabling short-range vehicle-to-everything (V2X) communications within the intelligent transport system (ITS) band around 5.9 GHz. The first group of technologies includes IEEE 802.11p plus its upcoming evolution IEEE 802.11bd. The second group includes the 3rd generation partnership project (3GPP)-defined sidelink cellular-V2X (C-V2X) standards. However, the coexistence of these technologies and the resulting interference pose new challenges for guaranteeing reliable operation in emerging vehicular networks. In this work, we investigate the impact of the interference resulting from C-V2X transmission on the sensing procedure of IEEE 802.11p/bd. To this end, we develop a detection framework based on clear channel assessment (CCA) mechanism in the IEEE 802.//p/bd network under the assumption of Rayleigh distribution channel fading; where we employed stochastic geometry and the characteristic function approach. It is shown through analytical evaluations that a lower threshold than the one defined in the specifications could better cope with the received interference without sensibly increasing the impact of false alarms
Adaptive Repetition Strategies in IEEE 802.11bd V2X Networks
Full text linkVehicle-to-everything (V2X) communications have very strict throughput and latency requirements, even in scenarios with high mobility. IEEE 802.11bd is being developed as a WiFi amendment to improve V2X performance, allowing up to three repetitions per packet, along with other features. Message repetitions increase time diversity and enable maximum ratio combining at the receiver, thus improving the probability of correct decoding. This paper investigates the IEEE 802.11bd packet repetition feature. First, we analyze how the increased channel load due to repetitions may in some cases result in a higher collision rate leading to lower network performance. Then, we propose two strategies for exploiting the IEEE 802.11bd repetition feature. The proposed strategies use the channel busy ratio to adapt the number of transmissions to the channel load and are validated through network-level simulations, which account for both the acquisition and decoding processes. Results show that the proposed strategies improve network performance under variable traffic conditions and enable fair access to the channel
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