Military Communications Research Articles

Enhanced Energy efficient routing protocol for OnDemand distance vector routing to improve communication in border area Military communication

Enhanced Energy efficient routing protocol for OnDemand distance vector routing to improve communication in border area Military communication

BLOCKCHAIN AND ITS APPLICATION IN THE DEFENCE SECTOR

The digital transformation of the economy affects many sectors, including the defence sector, which is sensitive from both a national and international perspective. The digitalisation of the economy is based on technologies such as robotics, autonomy, additive manufacturing technologies (3D printing), augmented reality, big data, quantum computers, artificial intelligence and blockchains. In this article, we will take a closer look at the latter, namely blockchain technology. We will briefly outline its main properties and advantages, which make it particularly attractive for use in the defence sector, and dwell on its application to implement such a tool as smart contracts. One of the key advantages of blockchain in the context of military operations is ensuring transparency and traceability of supplies. In today's realities, logistical problems can cost lives, but blockchain helps prevent fraud and improve coordination between interacting communication nodes. Thanks to the use of blockchain technologies, each unit of supply can be recorded in an immutable register, which allows you to track its path from sender to recipient. This reduces the risk of loss or theft, and simplifies the process of monitoring and verifying the accuracy of information about deliveries. In addition, the decentralised nature of the blockchain enhances the security of military communications, protecting them from interception and attack. Each message is encrypted in such a way that it can only be read by the addressee. This ensures a high level of confidentiality and data protection, as information transmitted through the blockchain is distributed among numerous network nodes, making it difficult for attackers to access. By using cryptographic methods, the blockchain ensures that even in the event of a successful attack, attackers will not be able to alter or falsify information. Creating a tamper-proof ID system will help fight counterfeiting and improve the process of identifying wounded or fallen soldiers. By assigning unique and unchangeable authenticators to personnel, equipment or weapons, one hundred per cent identification of military entities can be ensured. This allows for accurate tracking of the movement and status of each soldier and equipment, which contributes to more efficient resource management. This system also increases the level of trust in the information provided, as it is recorded in the blockchain and cannot be changed or deleted. The introduction of blockchain technology in the defence sector can bring significant benefits, including increased security, transparency and efficiency. However, this process is accompanied by numerous challenges and risks that need to be considered and overcome for successful integration.

Standardization Trends and Military Communication Applications of Core Technologies of 5G NR

5G New Radio(NR) technology, with its focus on high speed, low latency, and connectivity, introduces crucial advancements like MIMO for enhanced reliability and transmission rates, edge computing for reduced latency, and IAB for extended coverage. However, military communication networks face challenges such as limited capacity, unpredictable mobility and communication dead zones. This paper delves into the trends of the above 5G NR technologies outlined by the 3GPP standard, exploring their potential applications within military infrastructure networks. Our aim is to underscore the benefits of harnessing these technologies in military settings. Additionally, through simulation, we forecast the advantages associated with integrating these core 5G NR technologies, thereby paving the way for enhanced military communication capabilities.

Series Editorial: Military Communications and Networks

Series Editorial: Military Communications and Networks

Intrusion Detection System Using Chaotic Walrus Optimization-based Convolutional Echo State Networks for IoT-assisted Wireless Sensor Networks

Wireless Sensor Networks (WSN) based Internet of Things (IoT) networks have achieved greater research interest due to their multi-purpose data collection and transmission over different geographical locations. However, the fabrication of different cyber-attacks in these networks has been a severe concern for applications such as remote healthcare, military communications, etc. These attacks question the integrity and security of WSN-IOT networks for such applications, and the traditional Intrusion Detection Systems (IDS) have shown increased false alarm rates because of their substantial processing overhead, resource constraints, and low detection rates. This paper presents an intelligent IDS model using Chaotic Walrus Optimization-based Convolutional Echo State Networks (CWO-CESN) to solve existing problems. It increases the detection accuracy of different attacks. In this CWO-CESN-based IDS model, the data are gathered from the sensor/IoT nodes and are pre-processed. Then, the proposed CWO-CESN learns the features from these data and classifies them into attacks and standard data classes. This proposed CWO-CESN is a hybrid classifier model that integrates Convolutional Neural Networks (CNN) and Echo State Networks (ESN) as a single model and employs Chaotic map-based population initialized Walrus Optimizer for optimizing the hyperparameters. Validated on benchmark datasets, the proposed CWO-CESN-based IDS model attained accuracies of 99%, 99.5%, and 99.8% for the detection of different attacks for NSL-KDD, WSN-DS and IoT-23 datasets, respectively, and ensured secured and reliable application in significant fields.

Algorithmic improvement of the high-speed digital spectral-correlative radiolocation method

The algorithmic improvement of the high-speed digital spectral-correlative radiolocation method represents an innovative project that influences the development of new technologies. This work aims to enhance the precision and reliability of receiver systems through accurate signal direction, presenting new methodologies for addressing issues in the radiolocation field by analyzing spectral components of signals and their correlational relationships. Applying these algorithmic enhancements allows for significant improvements in the speed and accuracy of radiolocation processes. This benefits the efficiency of both military and civil communication systems, paving the way for future developments in radioelectronics and contributing to technological innovations.

War Is Back in Post-Heroic Europe: Change and Continuity in the Relationship Between the Armed Forces and Society

Since war is back in Europe, societal perceptions are shifting. Terms such as “warfighting,” “whole of society,” and “total defence force” are becoming more prevalent. There is a growing recognition of the military’s importance and heightened appreciation for soldiers, while taboos on weapon manufacturing and warfighting are disappearing. To what extent, how and with what implication have societal attitudes surrounding the armed forces changed in recent years? This article examines this question through exploratory empirical research of military, political, and public communication items, including media accounts and speeches. This reveals both change and continuity in what had been called post-heroic Europe: both a more pro-military stance and the persistence of one-dimensional narratives of conflict, military intervention and soldiers. This is strategically and ethically problematic. While fairy tale narratives dehumanize both opponents and “our” soldiers, demanding them to be superhuman, a tragic narrative better captures the human reality of war.

Integration of a novel 3D chaotic map with ELSS and novel cross-border pixel exchange strategy for secure image communication

This paper proposes a robust image encryption algorithm that utilizes a Novel three-dimensional (3D) Chaotic map and an Enhanced Logistic Sine System (ELSS). We leverage the unpredictability of 3D chaotic dynamics alongside the complexity of ELSS and DNA Sequence to forge a formidable image encryption scheme. Firstly, the image pixels are converted from decimal to hexadecimal notation and sorted in a 1D pixel array carrying a unique sequence of three channels of the RGB image. Secondly, the secret key is appended to XOR, the values with that 1-D pixels array. Thirdly, values are sorted by performing the binary right shift operation and encoded into DNA. Fourthly, a novel chaotic map is used to perform scrambling operations. Lastly, a novel enormous keyspace ELSS is used to perform efficient Border and Cross-Border (B &CB) pixel exchange, further enhancing the encryption quality of the proposed algorithm. Comprehensive security analysis proved that the proposed algorithm exhibits remarkable resilience against powerful known and chosen plaintext attacks and other prevalent cryptanalysis attacks, including differential attacks and exhaustive key search attacks. Henceforth, the proposed algorithm’s superior security and low computational cost make it an ideal choice for real-time secure image communication across various platforms, including satellite, multimedia, and military communications.

Application of ARIS and Adaptive Filtering Algorithm in Underwater Acoustic Communication

As the core of marine communication, underwater acoustic communication technology significantly improves the performance of underwater communication by using technologies such as modulation, multiple access and anti-interference. Among them, adaptive filtering technology plays a key role in eliminating noise and channel equalization. This paper explores the novel application of acoustic reconfigurable intelligence surface (ARIS) and adaptive filtering in underwater acoustic communication. It introduces the concept of ARIS-assisted underwater acoustic communication, integrating the least mean squares (LMS) algorithm to dynamically estimate and mitigate oceanic noise. This approach further enhances signal clarity and communication quality by leveraging orthogonal frequency division multiplexing (OFDM) technology. Simulation results show that the underwater acoustic channel with ARIS is superior to the traditional channel without ARIS in terms of bit error rate and anti-interference performance. This technology significantly enhances the reception quality of underwater communication signals, making it suitable for applications in marine monitoring, military communication, and other complex environments.

Chaos-based audio encryption: Efficacy of 2D and 3D hyperchaotic systems

Secure communication in the digital age is necessary; securing audio data becomes very critical since this is normally transmitted across susceptible networks. Traditional approaches to encryption, like Advanced Encryption Standard and Rivest–Shamir–Adleman, are pretty solid but mostly too computationally intensive for real-time audio applications. This paper presents a new audio encryption scheme using chaotic systems, characterized by high sensitivity to initial conditions, pseudo-randomness, and determinism. These properties make chaotic systems ideal for generating keys for cryptographic purposes. Indeed, complex keys that would be nearly impossible to reverse-engineer without exact initial parameters can be obtained with them. This methodology first digitizes the audio signal and subsequently encrypts each sample according to chaotic sequences from multiple systems, like 2D Memristive Hyperchaotic Maps and 3D Hyperchaotic Quadratic Maps. The encryption processes enormously increase the randomness of the encrypted audio and blind the original data, demonstrating the strength of the chaotic systems in securing audio information.Simulation of this encryption approach confirms its effectuality in providing strong security for audio data while maintaining efficiency, thus being suitable for real-time applications. The developed encryption schemes show high resistance to differential attacks, while the quality of the encrypted audio remains acceptable after transformation. This result can demonstrate chaotic systems’ potential to provide a secure and efficient solution for audio communications, which has broad applications in telecommunications, military communications, and confidential conferencing systems. This work, described in the paper, thus satisfies the growing demand for robust security in digital communications and opens up avenues of future research toward chaotic parameter optimization and an extension to other forms of data, enhancing the security features in all types of digital communication channels.

Biological template hydrothermal synthesis of hollow La-doped one-dimensional CaMnO3 fibers and their enhanced microwave absorption performance

The advancement of military technology, 5G communication, and electronic equipment has increased the demand for efficient electromagnetic wave absorption materials. Calcium manganate (CaMnO3) is a commonly used dielectric absorber due to its excellent dielectric polarization effect. However, traditional ceramic materials like CaMnO3 have low conductivity, making it difficult to achieve impedance matching and electromagnetic loss simultaneously. In this work, to address this issue and create ideal wave-absorbing materials, one-dimensional La-doped CaMnO3 materials were synthesized using a simple biological template hydrothermal method. By studying the relationship between doping content and electromagnetic parameters, it was found that the La-doped CaMnO3 material exhibited excellent electromagnetic wave absorption properties, with a minimum reflection loss (RLmin) of −73.62 dB and a maximum effective absorption bandwidth of 3.3 GHz in the X-band. The introduction of La elements, which have different electronegativities from Ca ions, altered the electron cloud distribution in the sample, leading to the formation of electric dipoles that disrupt charge distribution and dissipate electromagnetic waves. The dielectric loss in fibrous La-doped CaMnO3 is mainly due to interfacial polarization. The fibrous structure allows for increased contact area with the air medium, while the porous structure introduces air bubbles that alter the dielectric properties between the sample and the air medium. This not only enhances impedance characteristics to some extent but also triggers interfacial polarization. Both of these factors help improve the material's ability to absorb electromagnetic waves. The successful creation of this one-dimensional absorbing material opens up possibilities for developing new one-dimensional absorbing materials using a straightforward method.

Research on SDP-BF Method with Low False Positive Face to Passive Detection System

With the rapid development of 5G, UAV, and military communications, the data volume obtained by the non-cooperative perception system has increased exponentially, and the distributed system has become the development trend of the non-cooperative perception system. The data distribution service (DDS) produces a significant effect on the performance of distributed non-cooperative perception systems. However, the traditional DDS discovery protocol has problems such as false positive misjudgment and high flow overhead, so it can hardly adapt to a large multi-node distributed system. Therefore, the design of a DDS discovery protocol for large distributed system is technically challenging. In this paper, we proposed SDP-DCBF-SFF, a discovery protocol based on the Dynamic Counter Bloom Filter (DCBF) and Second Feedback Filter (SFF). The proposed discovery protocol coarsely filters the interested endpoints through DCBF and then accurately screens the uninterested endpoints through SFF to eliminate the connection requests of false positive endpoints and avoid extra flow overhead. The experimental results indicate that the proposed discovery protocol could effectively reduce the network overhead, and eliminate the false positive probability of endpoints in small, medium, large, and super large systems. In addition, it adopts the self-adaptive extension mechanism of BF to reduce the reconfiguration delay of BF and achieve the smallest system transmission delay. Therefore, the proposed discovery protocol has optimal comprehensive performance and system adaptability.

DYNAMICS OF NICKNAMES OF RUSSIAN SERVICEMEN

Currently, the life of military societas is of an increased interest in society in various issues, in particular – the peculiarities of communication of the language personality of the said society’s representative. The article is devoted to the analysis of the variability of nicknames of modern Russian servicemen. The research material included the linguistic and lexis obtained by questioning and by direct interviewing of cadets of Russian military higher educational institutions in two stages with a time interval of 8 years, which allows drawing objective and reliable conclusions on the nature of the dynamics of the existence of nickname nominations in military societas. Semantic groups of nicknames, characteristics of the structure, features of functioning, psychological attitude of the carriers and the environment are given. Based on the comparative analysis, conclusions were drawn about the similar and distinctive features of existence and the variability of unofficial military anthroponyms. The results of the study make it possible to identify such features of a language personality as the specificity of human perception in military communication, priority characteristics of the personality as a whole, and features of associative thinking. The research materials can be used to conduct seminars and special courses in both civilian and military higher educational institutions. The experience presented is also important for further research in the field of onomastics, sociolinguistics and linguoculturology.

Adaptive Joint Carrier and DOA Estimations of FHSS Signals Based on Knowledge-Enhanced Compressed Measurements and Deep Learning.

As one of the most widely used spread spectrum techniques, the frequency-hopping spread spectrum (FHSS) has been widely adopted in both civilian and military secure communications. In this technique, the carrier frequency of the signal hops pseudo-randomly over a large range, compared to the baseband. To capture an FHSS signal, conventional non-cooperative receivers without knowledge of the carrier have to operate at a high sampling rate covering the entire FHSS hopping range, according to the Nyquist sampling theorem. In this paper, we propose an adaptive compressed method for joint carrier and direction of arrival (DOA) estimations of FHSS signals, enabling subsequent non-cooperative processing. The compressed measurement kernels (i.e., non-zero entries in the sensing matrix) have been adaptively designed based on the posterior knowledge of the signal and task-specific information optimization. Moreover, a deep neural network has been designed to ensure the efficiency of the measurement kernel design process. Finally, the signal carrier and DOA are estimated based on the measurement data. Through simulations, the performance of the adaptively designed measurement kernels is proved to be improved over the random measurement kernels. In addition, the proposed method is shown to outperform the compressed methods in the literature.

Class-E, active electrically small antenna with enhanced bandwidth-efficiency product and high radiated power at the high-frequency (HF) band

Antennas operating at the high-frequency (HF) band (3–30 MHz) are frequently electrically small due to the large wavelength of electromagnetic waves (10–100 m). However, the bandwidth-efficiency products of passively matched electrically small antennas (ESAs) are fundamentally limited. Wideband HF waveforms using bandwidths of 24 kHz or more have recently received significant attention in military communications applications. Efficiently radiating such signals from conventional passive ESAs is very challenging due to fundamental physical limits on bandwidth-efficiency products of ESAs. However, active antennas are not subject to the same constraints. In this work, we present the design and experimental characterization of a high-power, class-E active ESA with enhanced bandwidth-efficiency product compared to that of passively matched ESAs. Specifically, the proposed class-E active ESA can radiate wideband HF signals with bandwidths of 24 kHz or more at 3 MHz (fractional bandwidths of ≈1%–4%), with total efficiencies ranging from 40% up to 80% depending on the modulation type and radiated power levels approaching 100 W. Our approach uses a highly efficient, integrated class-E switching circuit specifically designed to drive an electrically small, high-Q HF antenna over a bandwidth exceeding 24 kHz at 3 MHz. Using a high-Q RLC antenna model, we have successfully demonstrated wideband binary ASK, PSK, and FSK modulations with the proposed class-E active ESA. Experimental results indicate that the bandwidth-efficiency product of this class-E active ESA is 5.4–9.8 dB higher than that of an equivalent passive design with the same data rate and bit-error-rate.

Small-sized active phased array antenna for base stations of mobile radio networks in limited deployment conditions

Today, most telecommunications structures are oversaturated with antenna technology. There is a need to use high-rise buildings and facilities that are not equipped for communication. However, the use of such objects imposes a number of restrictions on the installation locations of antenna systems. Thus, the problem arises of developing an antenna system that makes it possible to achieve a circular radiation pattern using small-sized antennas. A model of a small-sized UHF AFAR has been developed. A distinctive feature of this AFAR is the use of a ring active phased antenna array with an electrically controlled radiation pattern as an antenna system. Such solutions have not been used in domestic antenna technology, including military radio communications. The antenna complex is proposed to be used for installation on mobile objects, as well as on the upper platforms of towers and masts to provide a circular radiation pattern in places where it is impossible to implement a ring antenna array around the perimeter of the object.

Fuzzy models for cyber incident detection in military information and communication systems databases

Protecting databases of military information and communication systems is an extremely important task in the modern cybersecurity sphere. Growing threats from cyberattacks, the need to effectively detect, counteract and prevent them require the use of new, more effective models and methods. The main disadvantages of existing models and methods include insufficient sensitivity to new threats, a large number of detection errors, low response to new threats, the possibility of bypassing protective measures, and low scalability, which are key challenges for further improvement and development of cybersecurity. The article analyzes the existing fuzzy models for detecting cyber incidents, identifies their shortcomings and emphasizes the need for their further improvement and development. An improved fuzzy model for detecting cyber incidents in databases of military information and communication systems and an improved fuzzy model for detecting cyber incidents in databases of military information and communication systems with weighted rules based on the expansion of cyber incident signs by obtaining them from different levels of cyber security of the data are proposed. The main levels of database cybersecurity include: the operating system level, the network level, and the database management system level. To eliminate the shortcomings associated with the false triggering of cyber incident detection rules and the complexity of their configuration in a dynamically changing cyberattack landscape, as well as the dimensionality of the knowledge base of the information and security event management system, a fuzzy model for detecting cyber incidents in databases of military information and communication systems with weights of rule antecedents is proposed. The expediency of applying the developed model is shown.

The method of assessing the sustainability of the functioning system based on the combat capabilities of the armies

The authors' analysis of the calculation of the value of the stability indicator of the military communication system, based on the experience of conducting military operations in the east of the country, proved by the use of the classic approach by the officials of the communication management staff is not possible. It requires carrying out numerous specialized calculations separately for the directions of communication with their further generalization for the military communication system as a whole in the conditions of uncertainty of conducting active hostilities. In addition, resilience is an integral indicator from the convolution of probabilistic partial indicators of survivability, reliability, immunity and cyber security. Therefore, the authors proposed to develop a new methodology for calculating the value of the stability of the operation of the military communication system in the modern conditions of conducting hostilities. Unlike the classical approach, it should be based on the use of other indicators that will simplify calculations. The authors developed a graphic model of the operation of the military communication system in modern conditions of active hostilities. To describe the operation of the proposed model, the authors used the values of the combat capabilities of troops (forces). The methodology takes into account the predicted impact of means of fire damage, radio-electronic warfare of the enemy on our military communication system and the implementation of combat support and radio-electronic protection measures by the communication units. To formalize the methodology, the authors obtained a number of compact analytical expressions that establish the probabilities of the ratio between the values of the combat capabilities of our troops and the enemy's troops. The methodology is easily implemented in the form of an information and calculation task and significantly reduces the time of operational calculations for the military communications management staff to make sound management decisions.

Emerging Technologies in Conflict: The Impact of Starlink in the Russia – Ukraine War

Abstract This paper examines the role of technology on military communications, focusing on the impact of the commercial Starlink system on the battlefield. Utilizing the conflict in Ukraine as a case study, it will evaluate in detail how Starlink has influenced military actions, decision support, and the coordination of military efforts, offering a unique perspective on the transformation of communications in the context of modern conflicts. Furthermore, the study will analyze the essential role played by Starlink in supporting military morale and social resilience, highlighting how access to secure and rapid satellite communications has contributed to maintaining a positive mindset and cohesion under wartime conditions. By addressing these dimensions, the paper aims to capture the critical importance of emerging technologies not only in optimizing military actions but also in strengthening civil solidarity and social cohesion in times of crisis or war.

TERMINOLOGY IN CHINESE MILITARY TECHNICAL TERMS: AN ANALYSIS

The study of military technical terms in Chinese is essential for understanding the linguistic and semantic frameworks that underpin military communication and documentation in China. This paper aims to provide a comprehensive analysis of the terminology used in Chinese military technical contexts, exploring its historical development, linguistic characteristics, and the challenges associated with translation and interpretation. Through a detailed examination of specific terms and their applications, this study highlights the complexities and nuances of Chinese military terminology, offering insights for linguists, translators, and military professionals.