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Modelling the dynamics of information warfare: an attacker-defender scenario using Lotka-Volterra equations

International Journal of Information technology (Singapore) 2025年第3期17卷 1407-1418页

作者： Pandey, Rashmikiran Pandey, Mrinal Nazarov, Alexey Nikolaevich Faculty of Radio and Computer Technology Moscow Institute of Physics & Technology Moscow 141701 Russian Federation Federal Research Center “Computer Science and Control” Russian Academy of Science Moscow 119333 Russian Federation

The dynamics of information warfare in an attacker-defender scenario pose significant challenges in today’s digital age. To address these challenges, this research models the dynamics of information warfare using modified Lotka-Volterra equations, adapted from predator-prey interactions, to simulate the interactions between attackers and defenders. The model captures the growth, interaction, and feedback loops of both populations, offering insights into their dynamics over time. By incorporating the attacker’s growth rate and the defender’s natural decline rate, and discretizing time for real-time simulation, the study reveals how attacker populations initially grow but decline as defenders enhance their countermeasures. The defender population stabilizes as their defensive capabilities improve, demonstrating the model’s effectiveness in representing the complex dynamics of information warfare. © Bharati Vidyapeeth's Institute of computer Applications and Management 2024.

关键词： Attacker-defender Cyber security Information warfare Lotka-Volterra equations Population dynamics

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Development and Investigation of Vision System for a Small-Sized Mobile Humanoid Robot in a Smart Environment

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International Journal of Crowd Science 2025年第1期9卷 29-43页

作者： Abu-Jassar, Amer Tahseen Attar, Hani Amer, Ayman Lyashenko, Vyacheslav Yevsieiev, Vladyslav Solyman, Ahmed Department of Computer Science College of Information Technology Amman Arab University Amman11937 Jordan Faculty of Engineering Zarqa University Zarqa2000 Jordan College of Engineering University of Business and Technology Jeddah21448 Saudi Arabia Department of Media Systems and Technology Kharkiv National University of Radio Electronics Kharkiv61166 Ukraine Department of Electrical and Electronics Engineering Faculty of Engineering and Architecture Nişantaşı University Istanbul34398 Turkey

The conducted research aims to develop a computer vision system for a small-sized mobile humanoid robot. The decentralization of the servomotor control and the computer vision systems is investigated based on the hardware solution point of view, moreover, the required software level to achieve an efficient matched design is obtained. A computer vision system using the upgraded tiny-You Only Look Once (YOLO) network model is developed to allow recognizing and identifying objects and making decisions on interacting with them, which is recommended for crowd environment. During the research, a concept of a computer vision system was developed, which describes the interaction between the main elements, on the basis of which hardware modules were selected to implement the task. A structure of information interaction between hardware modules is proposed, and a connection scheme is developed, on the basis of which a model of a computer vision system is assembled for research, with the required algorithmic and software for solving the problem. To ensure the high speed of the computer vision system based on the ESP32-CAM module, the neural network was improved by replacing the Visual Geometry Group 16 (VGG-16) network as the base network for extracting the functions of the Single Shot Detector (SSD) network model with the tiny-YOLO lightweight network model, which made it possible to preserve the multidimensional structure of the network model feature graph, resulting in increasing the detection accuracy, while significantly reducing the amount of calculations generated by the network operation, thereby significantly increasing the detection speed, due to a limited set of objects. Finally, a number of experiments were carried out, both in static and dynamic environments, which showed a high accuracy of identifications. © The author(s) 2025.

关键词： Anthropomorphic robots

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100 GS/s Equivalent Time Sampling Receiver for UWB Radar Applications

100 GS/s Equivalent Time Sampling Receiver for UWB Radar App...

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German Microwave Conference

作者： Marco Mütze Petr Schaffer Armin Bakkal Michael Bärhold João Vítor Possamai de Menezes Peter Birkholz Dirk Plettemeier Chair of Radio Frequency and Photonics Engineering Faculty of Electrical and Computer Engineering TU Dresden Germany Chair of Speech Technology and Cognitive Systems Faculty of Electrical and Computer Engineering TU Dresden Germany

ISBN: (数字)9783982039749

ISBN: (纸本)9798331521790

This paper presents the design of an ultra-wideband (UWB) sub-nanosecond equivalent time sampling (ETS) receiver. It has been developed as a part of a novel silent speech radar application working at frequencies between 500 MHz and 5 GHz. The system is based on commercial-off-the-shelf (COTS) components such as a programmable delay chip (PDC), track and hold amplifier (THA) and an analog to digital converter (ADC). The receiver system has been fabricated on PCB, optimized and tested. The resulting system accepts a LVPECL sampling clock up to 250 MHz and features an analog input bandwidth of 5 GHz and an equivalent sampling rate of up to 100 GS/s.

关键词： Receivers Bandwidth Radar tracking Microwave amplifiers Delays Ultra wideband radar Analog-digital conversion Clocks

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DL-AMC: Deep Learning for Automatic Modulation Classification

arXiv

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arXiv 2025年

作者： Rehman, Faheem Ur Abbas, Qamar Shehzad, M. Karam Faculty of Management Sciences FAST National University of Computer and Emerging Sciences Islamabad Pakistan Faculty of Computer Science and Engineering GIK Institute of Engineering Sciences and Technology Pakistan Radio Interface and Access Group Nokia Standards Paris France

Automatic Modulation Classification (AMC) is a signal processing technique widely used at the physical layer of wireless systems to enhance spectrum utilization efficiency. In this work, we propose a fast and accurate AMC system, termed DL-AMC, which leverages deep learning techniques. Specifically, DL-AMC is built using convolutional neural network (CNN) architectures, including ResNet-18, ResNet-50, and MobileNetv2. To evaluate its performance, we curated a comprehensive dataset containing various modulation schemes. Each modulation type was transformed into an eye diagram, with signal-to-noise ratio (SNR) values ranging from -20 dB to 30 dB. We trained the CNN models on this dataset to enable them to learn the discriminative features of each modulation class effectively. Experimental results show that the proposed DL-AMC models achieve high classification accuracy, especially in low SNR conditions. These results highlight the robustness and efficacy of DL-AMC in accurately classifying modulations in challenging wireless environments. © 2025, CC BY-NC-ND.

关键词： Convolutional neural networks

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Pulsed Electromagnetic Field Interaction With a Transmission Line: An Analytical Traveling-Wave Approach Based on Reciprocity

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IEEE Transactions on Antennas and Propagation 2025年

作者： Stumpf, Martin Antonini, Giulio Lager, Ioan E. Ekman, Jonas The Czech Republic Lerch Laboratory of em Research Department of Radio Electronics Feec Brno University of Technology Technická Brno3082/12 616 00 Czech Republic Luleå University of Technology Department of Computer Science Electrical and Space Engineering Eislab Luleå971 87 Sweden University of l'Aquila UAq Emc Laboratory Department of Industrial and Information Engineering and Economics L'Aquila671 00 Italy Delft University of Technology Terahertz Sensing Group Faculty of Electrical Engineering Mathematics and Computer Science Delft2628 CD Netherlands

Pulsed electromagnetic (EM) field signal transfer from a general EM source distribution to a transmission line (TL) is analyzed with the aid of Lorentz's reciprocity theorem. In this fashion, the transient voltage induced by the impulsive EM source is expressed through the EM fields as radiated by the TL. These transmitted EM fields are expressed in closed form using an analytical procedure that resembles the Cagniard-DeHoop (CdH) technique. The validity of the proposed reciprocity-based methodology is verified with the aid of an alternative analytical solution describing the EM field signal transfer excited by an impulsive vertical electric dipole (VED). Illustrative numerical examples are presented. © 1963-2012 IEEE.

关键词： Time domain analysis

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Electronically tunable pseudocapacitance for fractional-order (α = 0.25) passive element

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Measurement: Journal of the International Measurement Confederation 2025年 253卷

作者： Sotner, Roman Colburn, Simon Jerabek, Jan Polak, Ladislav Freeborn, Todd Department of Radio Electronics Faculty of Electrical Engineering and Communication Brno University of Technology Technicka 3082/12 Brno616 00 Czech Republic Department of Electrical Engineering Faculty of Military Technology University of Defence Brno Czech Republic Department of Electrical and Computer Engineering The University of Alabama Tuscaloosa United States Department of Telecommunications Faculty of Electrical Engineering and Communication Brno University of Technology Technicka 3082/12 Brno616 00 Czech Republic

A novel device based on component substitution is presented to realize a fractional-order (α = 0.25) passive element with electronically tunable pseudocapacitance. Tuning is achieved using a single bias voltage applied to optocouplers operating as variable resistance elements. Experimental measurements of a fabricated device demonstrate pseudocapacitance from 46 μF/sec3/4 to 464 μF/sec3/4 using a bias voltage from 3 V to 20 V. The constant phase behavior with ± 2.5° variation over three decades of frequency (up to 1 MHz) is demonstrated. The practical application example implements variable pseudocapacitance in electronically adjustable integrator. © 2025 Elsevier Ltd

关键词： Tuning

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Are D2D and RIS in the same league? Cooperative RSSI-based localization model and performance comparison

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Ad Hoc Networks 2025年 175卷

作者： Chukhno, Nadezhda Bravenec, Tomas Díez-González, Javier Trilles, Sergio Torres-Sospedra, Joaquín Iera, Antonio Araniti, Giuseppe ICT Faculty Tampere University Tampere33014 Finland Institute of New Imaging Technologies Universitat Jaume I Castellón de la Plana Castellón12071 Spain Department of Radio Electronics Brno University of Technology Brno616 00 Czech Republic Department of Mechanical Computer and Aerospace Engineering Universidad de León León24004 Spain Departament d'Informàtica Universitat de València València46010 Spain DIMES University of Calabria Arcavacata di Rende87036 Italy Parma43124 Italy DIIES Department University Mediterranea of Reggio Calabria Reggio Calabria89124 Italy

The next generation of high-accuracy positioning services is required to satisfy the sub-meter accuracy level for more than 95% of the network area, including indoor, outdoor, and urban deployments. In this vein, inter-agent measurements appear to provide additional position information and, hence, have the capacity to boost localization accuracy. This paper researches cooperative positioning techniques by means of device-to-device (D2D) and reconfigurable intelligent surfaces (RIS) technologies leveraging received signal strength (RSS) based ranging. We estimate the maximum capacities of the positioning systems in terms of accuracy through the Gaussian noise model, proposed universal theoretical distance-dependent noise model, and empirical noise model. We also evaluate the positioning error achieved by combining two or more technologies. Numerical results reveal the use cases advantageous for RIS- and D2D-aided localization. Then, based on the results, valuable guidelines are derived on the optimal sensor fusion metric – median – that minimizes the mean error of the cooperative localization. © 2025 The Authors

关键词： Gaussian noise (electronic)

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EEG Classification for Motor Imagery Mental Tasks Using Wavelet Signal Denoising 28

EEG Classification for Motor Imagery Mental Tasks Using Wave...

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28th National Conference with International Participation, TELECOM 2020

作者： Ivaylov, Ivaylo Lazarova, Milena Manolova, Agata Faculty of Computer Systems and Technologies Department. Computer Systems Faculty of Telecommunications Technical University of Sofia Dept. Radio Communications and Video Technology 8 Kliment Ohridski blvd Sofia1000 Bulgaria

ISBN: (纸本)9781728187174

Brain-computer Interfaces (BCIs) are an approach that enables humans to interact with their surroundings by brain generated control signals. Electroencephalographic (EEG) signals that records electrical activity through the scalp might contain superfluous artifacts suppressing some valuable information. Thus the EEG signal denoising is an important stage of the EEG data analyses. The paper presents an experimental comparison of several classification approaches for 2-class motor imagery EEG data classification and explores the influence of wavelet signal denoising on the classification accuracy. © 2020 IEEE.

关键词： Brain computer interface

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Security of the Cryptosystem GPT Based on Rank Codes and Term-rank Codes

Security of the Cryptosystem GPT Based on Rank Codes and Ter...

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2021 International Conference Engineering and Telecommunication, En and T 2021

作者： Nguyen, Du Hoan Pham, Huu Loc Le Thi Trang, Linh Phystech School of Radio Engineering and Computer Science Moscow Institute of Physics and Technology Moscow Russia Electric Power University Information Technology Faculty Hanoi Viet Nam

ISBN: (纸本)9781728183909

This paper investigates public key cryptosystems (PKC) in the rank metric and term-rank metric. For security analysis of cryptosystems, we introduce a GPT system. Recently, respective structural attacks this system were proposed by Over-beck. For GPT system, Overbeck's attack succeeds in polynomial time. We will discuss the new construction of Shiki system. This paper describes Overbeck's attack to the new Shiki system. Also, investigation of the possibility of using term-rank codes in public key cryptosystems. © 2021 IEEE.

关键词： Polynomial approximation

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Research of performance parameters of virtual switches with OpenFlow support

Research of performance parameters of virtual switches with ...

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2020 International Conference Engineering and Telecommunication, En and T 2020

作者： Ushakova, Margarita Ushakov, Yuriy Cui, Jie Legashev, Leonid Shukhman, Alexander Bolodurin, Aleksandr Orenburg State University Department of Geometry and Computer Science Orenburg Russia School of Computer Science and Technology Anhui University Anhui China Moscow Institute of Physics and Technology Faculty of Radio Engeneering and Cybernetics Moskow Russia

ISBN: (纸本)9781728188294

This paper discusses the problems that arise with different ways of connecting virtual network switches with the OpenFlow mode. A technique for automated research of performance parameters of virtual switches with OpenFlow support is proposed. The study revealed modes in which significant packet loss and delays of more than 100 ms occur. It was found that on different parts of the packet's route, using Open vSwitch in OpenFlow mode inside virtual machines is not optimal. Also, the connection for virtualization systems via Open vSwitch is preferable to Linux Bridge. Exceeding the load beyond the identified limits entails the need to optimize the Open vSwitch and install the DPDK module for low-latency switching or change the load balancing on such nodes. © 2020 IEEE.

关键词： computer operating systems

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