Radicalization of Airspace Security: Prospects and Botheration of Drone Defense System Technology

The development of a comprehensive and decisive drone defense integrated control system that can provide maximum security is crucial for maintaining territorial integrity and accelerating smart aerial mobility to sustain the emerging drone transportation system (DTS) for priority-based logistics and mobile communication. This study explores recent developments in the design of robust drone defense control systems that can observe and respond not only to drone attacks inside and outside a facility but also to equipment data such as CCTV security control on the ground and security sensors in the facility at a glance. Also, it considered DDS strategies, schema, and innovative security setups in different regions. Finally, open research issues in DDs designs are discussed, and useful recommendations are provided. Effective means for drone source authentication, delivery package verification, operator authorization, and dynamic scenario-specific engagement are solicited for comprehensive DDS design for maximum security Received: 2023-03-07 Revised: 2023-04-2

Unmanned Aerial Vehicle (UAV)-Enabled Wireless Communications and Networking

The emerging massive density of human-held and machine-type nodes implies larger traffic deviatiolns in the future than we are facing today. In the future, the network will be characterized by a high degree of flexibility, allowing it to adapt smoothly, autonomously, and efficiently to the quickly changing traffic demands both in time and space. This flexibility cannot be achieved when the network’s infrastructure remains static. To this end, the topic of UAVs (unmanned aerial vehicles) have enabled wireless communications, and networking has received increased attention. As mentioned above, the network must serve a massive density of nodes that can be either human-held (user devices) or machine-type nodes (sensors). If we wish to properly serve these nodes and optimize their data, a proper wireless connection is fundamental. This can be achieved by using UAV-enabled communication and networks. This Special Issue addresses the many existing issues that still exist to allow UAV-enabled wireless communications and networking to be properly rolled out

Optimisation of a propagation model for last mile connectivity with low altitude platforms using machine learning

This thesis was submitted for the award of Doctor of Philosophy and was awarded by Brunel University LondonOur related research review on propagation models reveals six factors that are significant in last mile connectivity via LAP: path loss, elevation angle, LAP altitude, coverage area, power consumption, operation frequency, interference, and antenna type. These factors can help with monitoring system performance, network planning, coverage footprint, receivers’ line-of-sight, quality of service requirements, and data rates which may all vary in response to geomorphology characteristics. Several competing propagation models have been proposed over the years but whilst they collectively raise many shortcomings such as limited altitude up to few tens of meters, lack of cover across different environments, low perdition accuracy they also exhibit several advantages. Four propagation models, which are representatives of their types, have been selected since they exhibit advantages in relation to high altitude, wide coverage range, adaption across different terrains. In addition, all four have been extensively deployed in the past and as a result their correction factors have evolved over the years to yield extremely accurate results which makes the development and evaluation aspects of this research very precise. The four models are: ITU-R P.529-3, Okumura, Hata-Davidson, and ATG. The aim of this doctoral research is to design a new propagation model for last-mile connectivity using LAPs technology as an alternative to aerial base station that includes all six factors but does not exhibit any of the shortcomings of existing models. The new propagation model evolves from existing models using machine learning. The four models are first adapted to include the elevation angle alongside the multiple-input multiple-output diversity gain, our first novelty in propagation modelling. The four adapted models are then used as input in a Neural Network framework and their parameters are clustered in a Self-Organizing-Map using a minimax technique. The framework evolves an optimal propagation model that represents the main research contribution of this research. The optimal propagation model is deployed in two proof-of-concept applications, a wireless sensor network, and a cellular structure. The performance of the optimal model is evaluated and then validated against that of the four adapted models first in relation to predictions reported in the literature and then in the context of the two proof-of-concept applications. The predictions of the optimised model are significantly improved in comparison to those of the four adapted propagation models. Each of the two proof-of-concept applications also represent a research novelty.The Royal Saudi Embassy and the Saudi Cultural Bureau in London, and Taif University in the Kingdom of Saudi Arabia

Unmanned Aircraft Systems in the Cyber Domain

Unmanned Aircraft Systems are an integral part of the US national critical infrastructure. The authors have endeavored to bring a breadth and quality of information to the reader that is unparalleled in the unclassified sphere. This textbook will fully immerse and engage the reader / student in the cyber-security considerations of this rapidly emerging technology that we know as unmanned aircraft systems (UAS). The first edition topics covered National Airspace (NAS) policy issues, information security (INFOSEC), UAS vulnerabilities in key systems (Sense and Avoid / SCADA), navigation and collision avoidance systems, stealth design, intelligence, surveillance and reconnaissance (ISR) platforms; weapons systems security; electronic warfare considerations; data-links, jamming, operational vulnerabilities and still-emerging political scenarios that affect US military / commercial decisions. This second edition discusses state-of-the-art technology issues facing US UAS designers. It focuses on counter unmanned aircraft systems (C-UAS) – especially research designed to mitigate and terminate threats by SWARMS. Topics include high-altitude platforms (HAPS) for wireless communications; C-UAS and large scale threats; acoustic countermeasures against SWARMS and building an Identify Friend or Foe (IFF) acoustic library; updates to the legal / regulatory landscape; UAS proliferation along the Chinese New Silk Road Sea / Land routes; and ethics in this new age of autonomous systems and artificial intelligence (AI).https://newprairiepress.org/ebooks/1027/thumbnail.jp

Untersuchung von ausbringungspezifischer Simulation zur Optimierung drahtloser Sensornetzwerke

This theses researches whether it is possible to map existing deployments to a simulator accurately enough to use simulation to optimize for this specific deployment. For this purpose DrySim was developed as an approach to achieve more realistic simulation of Wireless Sensor Networks (WSNs). DrySim has two components, RealSim and DryRun: RealSim traces the network connectivity of a deployed WSN and allows replaying it in a simulator, whereas DryRun supports exploring a configuration space by running simulations and extracting and preparing data for further analysis. Two different test beds located in office environments were used to evaluate and verify the approach. Measurements in the two test beds showed that they required different configuration options. This was reflected in simulation as well as trial results. The evaluation presents a solid data basis for three scenarios, with a total of 1320 test bed and 8800 simulation runs between 5 and 20 minutes. During the evaluation care was taken to avoid systematic or probe effects. Analysis of the test beds also revealed that the default settings of ContikiOS, a popular WSN operating system, are unsuitable for most WSN deployments. The theses also features an analysis of the impact of different components on a WSN node. Specifically it was evaluated how accurately they can and must be simulated to achieve realistic results. These studies revealed two important points: Firstly the micro controller must be emulated to achieve real time accuracy. Secondly the radio characteristics of a network cannot be predicted and thus must be measured in the final deployment. In previous work, only specific aspects of simulating WSNs were researched. The research done in the context of DrySim, however, shows that to achieve realistic WSN simulation the main components, which are software, micro controller and radio chip and the radio network, must not be treated separately. With DrySim a solution is presented that allows for realistic enough simulation to tune configuration parameters to a specific deployment, while keeping the effort of tweaking the simulation model at a minimum.Diese Arbeit untersucht, ob es möglich ist bestehendes Sensornetzwerk in einem Simulator abzubilden, so dass dieses auf im Simulator ausbringungspezifisch optimiert werden kann. Hierzu wurde DrySim entwickelt. Ein Ansatz um eine realistischere Simulation von drahtlosen Sensornetzwerken (WSN) zu erzielen. DrySim besteht aus zwei Komponenten, RealSim und DryRun: RealSim zeichnet die Netzwerkkonnektivität eines ausgebrachten WSN auf und kann diese im einem Simulator wiedergeben. DryRun hingeben kann durch die Ausführung von Simulationen einen Konfigurationsraum erkunden und die gewonnenen Daten aufbereiten. Der Ansatz wurde in zwei Testnetzwerke, die in Büroräumen ausgebracht waren evaluiert. Die Messungen in den beiden Netzwerken haben gezeigt, dass sie unterschiedliche Konfigurationen benötigen, was sich auch in den Simulationen widergespiegelt hat. Die Evaluation präsentiert eine solide Datenbasis für drei Szenarien, mit 1320 Versuchen auf den Testnetzwerken und 8800 Simulationen zwischen 5 und 20 Minuten. Es wurde darauf geachtet den Einfluss durch systematische Fehler und die Beobachtung zu vermeiden. Die Untersuchung hat auch gezeigt, dass die Standardeinstellungen von ContikiOS, eines verbreiteten WSN-Betriebssystems für die meisten Umgebungen ungeeignet sind. Die Arbeit analysiert auch den Einfluss der verschiedenen Komponenten auf einen WSN-Knoten. Insbesondere wurde untersucht, wie akkurat diese simuliert werden können und müssen um realistische Simulationsergebnisse zu erzielen. Hierbei wurden zwei wichtige Punkte herausgearbeitet: Erstens muss der Mikrocontroller emuliert werden, um Echtzeitgenauigkeit zu erreichen. Zweitens können die Funkcharakteristiken eines Netzwerks nicht vorhergesagt werden und müssen daher vermessen werden. Vorhergehenden Arbeiten haben sich meist auf spezifische Aspekte der Simulation von Sensornetzwerken konzentriert. Die in Kontext von DrySim betriebene Forschung zeigt jedoch, dass realistische Simulationsergebnisse nur erreicht werden können, wenn die Hauptkomponenten, Software, Mikrocontroller, Radio-Chip und Funknetzwerk nicht getrennt betrachtet werden. Mit DrySim wird eine Lösung präsentiert, die es erlaubt bestehende Netzwerke so akkurat zu simulieren, dass man die Konfigurationsparameter auf dieses spezifische Netzwerk anpassen kann. Dabei bleibt der Konfigurationsaufwand bei einem Minimum

Safety and Reliability - Safe Societies in a Changing World

The contributions cover a wide range of methodologies and application areas for safety and reliability that contribute to safe societies in a changing world. These methodologies and applications include: - foundations of risk and reliability assessment and management - mathematical methods in reliability and safety - risk assessment - risk management - system reliability - uncertainty analysis - digitalization and big data - prognostics and system health management - occupational safety - accident and incident modeling - maintenance modeling and applications - simulation for safety and reliability analysis - dynamic risk and barrier management - organizational factors and safety culture - human factors and human reliability - resilience engineering - structural reliability - natural hazards - security - economic analysis in risk managemen

Jornadas Nacionales de Investigación en Ciberseguridad: actas de las VIII Jornadas Nacionales de Investigación en ciberseguridad: Vigo, 21 a 23 de junio de 2023

Jornadas Nacionales de Investigación en Ciberseguridad (8ª. 2023. Vigo)atlanTTicAMTEGA: Axencia para a modernización tecnolóxica de GaliciaINCIBE: Instituto Nacional de Cibersegurida