Air Defense Research Articles

Space cybersecurity challenges, mitigation techniques, anticipated readiness, and future directions

Space Cybersecurity (SC) is becoming critical due to the essential role of space in global critical infrastructure – enabling communication, safe air travel, maritime trade, weather monitoring, environmental surveillance, financial services, and defence systems. Simultaneously, involving diverse stakeholders in space operations further amplifies this criticality. Similarly, previous research has identified isolated vulnerabilities in SC and proposed individual solutions to mitigate them. While such studies have provided useful insights, they do not offer a comprehensive analysis of space cyber-attack vectors and a critical evaluation of the effectiveness of mitigation strategies. This study addresses this problem by holistically examining the scope of potential space cyber-attack vectors, encompassing the ground, space, user, cloud, communication channels, and supply chain segments. Furthermore, the study evaluates the effectiveness of legacy security controls and frameworks and outlines SC-vector-aligned counterstrategies and mitigation techniques to tackle the unique SC threats. Based on the analysis, the study proposes future research directions to develop and test advanced technological solutions and regulatory and operational frameworks to establish international standards policies and foster stakeholder collaboration. The study contributes a multi-disciplinary foundation and roadmap that researchers, technology developers, and decision-makers can draw on in shaping a robust and sustainable SC framework.

New Trends in the Procurement and Use of Unmanned Aerial Vehicles

Based on the presented classification of unmanned aerial vehicles (UAVs), the specifics of their use in modern conflicts are examined. The main trends in the procurement of UAVs are analyzed. It is indicated that the use of UAVs in combat is not limited to the functions of reconnaissance, target designation and strikes, as well as the detection and destruction of terrorist groups, as was the case in Afghanistan and Iraq conflicts. Thе UAVs are increasingly used within the framework of reconnaissance and strike complexes on the battlefield. The RD and production of small and mini-drones, as well as of unmanned aerial vehicles capable of remaining invulnerable to air defense systems, are actively developing. Other modern technologies of unmanned systems are being advanced. Due to the fact that in recent years the trend of massive use of small and mini-UAVs in conflicts has prevailed, supplies to the armed forces of various countries of heavy and a number of medium (tactical) high-altitude and medium-altitude drones are decreasing, while the purchases of small drones, as well as light civilian UAVs with reconfigured software, are increasing.

The queuing system of a scientific journal

The results of the research difference of the calendar date between begining and ending editorial processes in the Journal of “Almaz – Antey” Air and Space Defence Corporation are given, and the counting of dates per month for beginning the processes (entering articles, transferring to literacy editing etc.). Based on the analysis it was concluded that the incoming article might be considered as an incoming application to queuing system, which the scientific journal is. For such incoming application can be estimate the distribution functions incoming flows, average and maximum term be in queuing system, also as the distribution functions of the service mode and another characteristics, which stay unchanged (stationary) in time for researched scientific journal.

Simulating autonomous drone behaviors in an anti-access area denial (A2AD) environment

Army senior military leaders are invested in acquiring modernized aerial platforms and equipment to augment the US Army’s ability to overcome Anti-Access Area Denial (A2AD) threats imposed by modern Integrated Air Defense Systems (IADS). A prominent element of this modernization effort is the employment of autonomous drones to defeat IADS threats while minimizing risk to Army Soldiers. This research utilizes a framework for classifying the levels of autonomous capability along three dimensions: the ability to act alone, the ability to cooperate, and the ability to adapt. A virtual combat model, created using the Advanced Framework for Simulation, Integration, and Modeling (AFSIM), simulates the engagement between an enemy IADS and a friendly formation comprised of autonomous drones, attack helicopters, and a Long Range Precision Fires (LRPF) capability. A designed experiment evaluates drone performance with varying levels of autonomy. The experimental results reveal that low levels of autonomy yield a 20.74% increase in survivability and a 5.52% increase in lethality.

Modernisasi Alat Utama Sistem Senjata TNI dalam Mendukung Tugas TNI AL

This study analyzes the modernization of TNI AL weaponry systems to support maritime defense tasks in Indonesian jurisdictional waters. Using the Analytic Network Process (ANP) method, the research identifies the challenges and obstacles faced, as well as determining modernization priorities. The ANP results show that modernizing the Indonesian Navy Warship (KRI) is the top priority, followed by the development of Fast Missile Boats (KCR), the modernization of the Maritime Air Defense System, and the procurement of new submarines. Additionally, the Indonesian Navy faces both conventional military threats, such as naval attacks from other countries, and asymmetric threats, including piracy and maritime terrorism. To address these threats, the Indonesian Navy needs to develop advanced technologies, including cyber security and monitoring technologies to prevent illegal activities at sea. The study also finds that modernization efforts face various obstacles, requiring the improvement of maintenance facilities and intensive training. The use of ANP and NVivo helps formulate an effective modernization strategy to enhance operational readiness and the maritime defense capabilities of the Indonesian Navy.

Design and Implementation of Wind Speed-Based Radar Antenna Safety System Prototype

Air defense radar is a system that detects the presence of one or more air objects at a certain distance, altitude, and direction. One type of air defense radar used by the Indonesian National Armed Forces (TNI) is the Thomson TRS 2215D. An essential part of the radar is the rotating part of the radar antenna support called the antenna pivot. The rotation of the radar antenna must constantly be monitored and controlled for rotational stability at a speed of 6 Rotations per Minute (RPM) with a maximum wind speed of 120 km/h to prevent damage to the driving gear. Stormy weather with high wind speeds can cause the rotation speed of the radar antenna to be uncontrollable, which can cause damage. The solution offered in this study is to build a safety system that will lock the radar antenna automatically when the wind speed is detected to exceed tolerances and maintain the security of the radar antenna and its support system. The safety system was designed using an ESP32 Wi-Fi device equipped with an anemometer wind speed sensor, a Liquid Crystal Display (LCD) monitor, a Direct Current (DC) motor, and a Blynk Internet of Things (IoT) application. The test was conducted in a simulation using a multi-meter and oscilloscope measuring instrument. Testing the radar antenna's safety system prototype on a laboratory scale shows that the safety system can work as designed. The system can lock the radar antenna when the airflow is set at a speed of 54 km/h or 15 m/s, communication with the Blynk server works well, and the ESP32 device can transmit data at a maximum distance of 14 meters.

Satisfaction Evaluation of Civil Air Defense Engineering Renovated into Cooling Place from the Perspective of Public Experience

Scientific and reasonable satisfaction evaluation is an excellent way to understand the effects of building (structure) renovation and public satisfaction. This study presents a satisfaction evaluation of civil air defense engineering renovated into cooling place from the perspective of public experience. First, a satisfaction evaluation indicator system was constructed for civil air defense engineering renovated into cooling place from the perspective of public experience, focusing on 5 first-level indicators—location condition, spatial status, physical environment, service management, and emotional experience—and 27 second-level indicators. Second, the matter-element extension and combined weighting method were introduced to establish a satisfaction evaluation model for civil air defense engineering renovated into cooling place from the perspective of public experience. Finally, the rationality of the index system and feasibility of the evaluation model were verified by considering civil air defense cooling centers as examples. This research can provide a basis for the further optimization of such projects and the development and management of cities, as well as new ideas or methods for the satisfaction evaluation of similar old buildings (structures) after renovation.

Non-linear programming model proposal for mutual support distance of air defence systems

With the advancements in technology, the deployment of air defence systems required for the defence of a country after procurement is considered as an important problem in terms of defence effectiveness. It is seen that criteria such as coverage, strike effectiveness and logistics network are taken into account while deploying. In addition, principles such as remote countermeasures, defence in depth and all-round defence are also taken into account. In this study, two different deployment models are proposed for point and area air defence. In this model, the optimum deployment distance at which other systems can support each other in addition to a deployed air defence system is determined. In the nonlinear target programming model proposed for point air defence, the number of missiles is considered to be reasonably balanced for perimeter defence, while for area defence, the nonlinear optimization problem is addressed by calculating the equally important coverage and strike effectiveness criteria values. In this study, it is observed that the approach based on mutual support distance has been used for the first time in the defence literature. According to the results obtained, it is observed that this proposed model for determining the mutual support distance solves the deployment problem optimally.

The establishment of evacuation zones during the period of Japanese colonial rule and their subsequent utilization following liberation: focusing on Seoul and Tokyo

ABSTRACT This study explores the historical context and evolution of evacuation area policies in Tokyo and Seoul, established during the Japanese colonial era, and examines their post-liberation utilization. While both cities aimed to protect against bombing by establishing evacuation areas, they differed significantly in establishment, layout, and location due to varying urban structures. Tokyo’s air defense zones encircled the outskirts, with evacuation zones situated along main roads, while Gyeongseong focused on core zones. Post-liberation, Japan swiftly converted evacuation areas into roads and green spaces, whereas Seoul’s plans were hindered by the Korean War. Discussions about converting evacuation area began in 1959 and eventually focused on roads rather than parks.

Optimization of ventilation efficiency in tunnel-type underground spaces using response surface methodology: a case study of Yunlong Mountain civil defense in Xuzhou

Civil defense projects, designed as wartime underground spaces, often lack effective natural ventilation and have considerable depth, which complicates their use as public spaces in peacetime. However, the application of passive ventilation technologies can create effective airflow channels within these structures, significantly enhancing ventilation efficiency and thus improving the overall thermal comfort level. For this study, air age, along with average wind speed, temperature, and relative humidity as stipulated by the “Requirements for Environmental Sanitation of Civil Air Defense Works during Peacetime Use” (GBT 17216-2012), were selected as evaluation metrics. This paper compares the ventilation effectiveness between single ventilation shafts and multiple ventilation shafts under positive and negative pressure conditions in underground civil defense structures. The results indicate that negative pressure ventilation in multiple shaft configurations performs optimally across various ventilation approaches. Subsequently, the Response Surface Methodology (RSM) was utilized to further optimize the positioning of multiple ventilation shafts. The study examined the impact of three ventilation shaft locations on average wind speed, temperature, relative humidity, and air age, leading to an optimized design. Specifically, the optimal positions are 54.76 m for Shaft A, 51.45 m for Shaft B, and 79.85 m for Shaft C, achieving an average wind speed of 0.222 m/s, a temperature of 26 °C, a relative humidity reduction to 85.47%, and an average air age of 10.57 s. This research provides practical insights for the optimization of ventilation in underground civil defense facilities.

Launching Point Estimation Using Inverse First-Order Pitch Programming

This paper presents an estimation of the launching points of unmanned aerial vehicles (UAVs) equipped with boosters. When UAVs are detected and tracked by sensors such as radars, the fast identification of vehicle launching points is needed for air traffic control and defense systems. When UAVs in a boosting phase are controlled by first-order pitch programming, this paper leverages inverse first-order pitch programming to analytically solve launching points. Furthermore, a two-point robust measurement selection (T-RMS) scheme is developed to reduce errors such as random noise and bias by utilizing multiple moving average filters. The proposed work is verified by various simulation results.

National and International Perspectives of the Hungarian Ground-Based Air Defence Forces (2)

Based on the findings of part 1 of my article series, analysing the strategic environment and considering first ideas of multinational capability development options for the Hungarian ground-based air defence forces, the present force structure and already initiated next steps are assessed and remaining capability gaps are identified. It is encouraging to see that prudent procurement decisions can systematically lead the way from a Soviet dominated weapon system landscape to swiftly being on track to becoming one of the most capable ground-based air defence forces nations in Europe and NATO.

The Optimal Strategies of Maneuver Decision in Air Combat of UCAV Based on the Improved TD3 Algorithm

Nowadays, unmanned aerial vehicles (UAVs) pose a significant challenge to air defense systems. Unmanned combat aerial vehicles (UCAVs) have been proven to be an effective method to counter the threat of UAVs in application. Therefore, maneuver decision-making has become the crucial technology to achieve autonomous air combat for UCAVs. In order to solve the problem of maneuver decision-making, an autonomous model of UCAVs based on the deep reinforcement learning method was proposed in this paper. Firstly, the six-degree-of-freedom (DoF) dynamic model was built in three-dimensional space, and the continuous actions of tangential overload, normal overload, and roll angle were selected as the maneuver inputs. Secondly, to improve the convergence speed for the deep reinforcement learning method, the idea of “scenario-transfer training” was introduced into the twin delayed deep deterministic (TD3) policy gradient algorithm, the results showing that the improved algorithm could cut off about 60% of the training time. Thirdly, for the “nose-to-nose turns”, which is one of the classical maneuvers for experienced pilots, the optimal maneuver generated by the proposed method was analyzed. The results showed that the maneuver strategy obtained by the proposed method was highly consistent with that made by experienced fighter pilots. This is also the first time in a public article that compared the maneuver decisions made by the deep reinforcement learning method with experienced fighter pilots. This research can provide some meaningful references to generate autonomous decision-making strategies for UCAVs.

An adaptive operation planning and EBO-BPNN optimization method for decision support systems

Formulating a course of action (COA) before a combat is crucial for operational command. Research in command and control (C2) artificial intelligence is currently focused on using intelligent auxiliary decision-making methods to implement COA. This paper proposes a COA planning method based on line of operation (LOO) and uses planning domain definition language (PDDL) to describe combat scenarios and COA. Following the effect-based optimization (EBO) principle, an effect evaluation model for COA was constructed, and dynamic bayesian networks (DBNs) was used to determine the reasoning and calculate the results of the effect evaluation network. To further improve the execution efficiency of the effect evaluation model in practical applications, the network was optimized through a back propagation neural network (BPNN). Relevant experiments based on the coordinated distributed air defense and anti-missile scenario were carried out using the LOO model to complete the planning of COA. A BPNN evaluation model based on the DBNs evaluation model was built. After training and fine-tuning, it achieved similar evaluation results, with a mean absolute percentage error (MAPE) of less than 0.02%. Compared with the DBNs model, the BPNN model achieved an efficiency improvement of no less than 65%, effectively reducing the consumption of computing resources. This research is the first time to realize the modeled description of COA planning, automatic evaluation, and calculation optimization of COA effects. It can support the development of decision support systems (DSS) and has the potential for practical application.

Methodology for assessing the effectiveness of the impact intermittent noise interference to a radar station with adaptive detection threshold formation

Problem statement. For aviation suppression equipment, it is characteristic to separate the modes of interference and reconnaissance radiation in time due to the problem of their electromagnetic compatibility. It is also possible to alternately suppress various objects with a limited bandwidth of the interference station. This leads to periodic interruptions of the noise interference and, consequently, a decrease in its spectral density. A feature of radar stations of the latest and modernized means of intercepting air defense systems aimed at hitting targets in a complex interference environment is adaptive control of parameters and modes of operation of various subsystems. In particular, modern radar stations provide for the adaptive formation of a detection threshold based on estimates of the statistical characteristics of such interference. Such estimates are formed over the interference integration interval, the size of which is generally selected from the condition of insignificant influence of signals reflected from the targets on them. Moreover, for the most correct consideration of the interference situation in the vicinity of the detected target, the strobe pulses of the false alarm probability stabilization circuit, forming the integration interval, are placed on both sides of the analyzed range resolution element. Goal. To evaluate the effect of intermittent noise interference parameters on the operation of radar stations with adaptive detection threshold foration. Assumptions. When developing the methodology, the following typical assumptions were made: in target detection mode, the radar station emits pulse signals with a low or medium pulse repetition rate; the signal reflected from the target, noise interference and internal noise are independent normal random processes; interference and internal noise have a uniform spectral density within the bandwidth of the radar receiver; the receiving path of the radar station has a traditional structure, which includes: an intermediate frequency amplifier, a linear amplitude detector, an integrator and a threshold device. Results. For the first time, the obtained technique takes into account the influence of time and energy parameters of intermittent noise interference on the probability of correct target detection by a radar station with adaptive detection threshold formation. Reducing the duration of the interference pulse in the period of intermittent noise interference leads to a nonlinear increase in the probability of correct target detection. To maximize this indicator, it is necessary to ensure a sufficiently high accuracy in estimating the statistical characteristics of the power of intermittent noise interference. The reliability of the results obtained using the developed methodology is confirmed by the fact that the effectiveness of intermittent noise interference, while excluding pauses in its radiation, is reduced to the effectiveness of continuous noise interference. Practical significance. The developed technique makes it possible to clarify the technical requirements for radar stations that implement flexible control of the target detection mode under the influence of intermittent noise interference of unknown intensity.

Room-Temperature Band-Aligned Infrared Heterostructures for Integrable Sensing and Communication.

The demand for miniaturized and integrated multifunctional devices drives the progression of high-performance infrared photodetectors for diverse applications, including remote sensing, air defense, and communications, among others. Nonetheless, infrared photodetectors that rely solely on single low-dimensional materials often face challenges due to the limited absorption cross-section and suboptimal carrier mobility, which can impair sensitivity and prolong response times. Here, through experimental validation is demonstrated, precise control over energy band alignment in a type-II van der Waals heterojunction, comprising vertically stacked 2D Ta2NiSe5 and the topological insulator Bi2Se3, where the configuration enables polarization-sensitive, wide-spectral-range photodetection. Experimental evaluations at room temperature reveal that the device exhibits a self-powered responsivity of 0.48 A·W-1, a specific directivity of 3.8 × 1011 cm·Hz1/2·W-1, a response time of 151 µs, and a polarization ratio of 2.83. The stable and rapid photoresponse of the device underpins the utility in infrared-coded communication and dual-channel imaging, showing the substantial potential of the detector. These findings articulate a systematic approach to developing miniaturized, multifunctional room-temperature infrared detectors with superior performance metrics and enhanced capabilities for multi-information acquisition.

Improving Aerial Targeting Precision: A Study on Point Cloud Semantic Segmentation with Advanced Deep Learning Algorithms

The integration of technological advancements has significantly impacted artificial intelligence (AI), enhancing the reliability of AI model outputs. This progress has led to the widespread utilization of AI across various sectors, including automotive, robotics, healthcare, space exploration, and defense. Today, air defense operations predominantly rely on laser designation. This process is entirely dependent on the capability and experience of human operators. Considering that UAV systems can have flight durations exceeding 24 h, this process is highly prone to errors due to the human factor. Therefore, the aim of this study is to automate the laser designation process using advanced deep learning algorithms on 3D point clouds obtained from different sources, thereby eliminating operator-related errors. As different data sources, dense 3D point clouds produced with photogrammetric methods containing color information, and point clouds produced with LiDAR systems were identified. The photogrammetric point cloud data were generated from images captured by the Akinci UAV’s multi-axis gimbal camera system within the scope of this study. For the point cloud data obtained from the LiDAR system, the DublinCity LiDAR dataset was used for testing purposes. The segmentation of point cloud data utilized the PointNet++ and RandLA-Net algorithms. Distinct differences were observed between the evaluated algorithms. The RandLA-Net algorithm, relying solely on geometric features, achieved an approximate accuracy of 94%, while integrating color features significantly improved its performance, raising its accuracy to nearly 97%. Similarly, the PointNet++ algorithm, relying solely on geometric features, achieved an accuracy of approximately 94%. Notably, the model developed as a unique contribution in this study involved enriching the PointNet++ algorithm by incorporating color attributes, leading to significant improvements with an approximate accuracy of 96%. The obtained results demonstrate a notable improvement in the PointNet++ algorithm with the proposed approach. Furthermore, it was demonstrated that the methodology proposed in this study can be effectively applied directly to data generated from different sources in aerial scanning systems.

The value of national defense: Assessing public preferences for defense policy options

Defense spending accounts for a large share of the budget in many countries, but the value of the resulting public good – national defense – has so far escaped assessment. Much of the literature has instead considered indirect benefits of defense spending in terms of greater economic growth or technological spillovers. In this paper, we assess the direct welfare effects of defense policy, namely an increase in the security of citizens, by means of a survey-based discrete choice experiment. Drawing on a representative sample of the German population, results suggest substantial willingness to pay for an increase in troop numbers, the establishment of a European army and an improved air defense system. The reintroduction of compulsory military service does not enjoy public support. Results further indicate substantial preference heterogeneity across respondents and policy options which we explore. As such, these findings demonstrate how methods of survey-based, non-market valuation can help to refine research in this area of public policy.

Simulation Study of the Damage Effect of Typical Fragment on UAV Target

Abstract UAV poses a serious threat to ground troops and combat personnel in modern operations, and fighting against UAV is called an important task of air defense operations. Taking DJI UAV as the object, this article researches the typical blasting debris of the prefabricated damage effect of drone target through modeling simulation and simulation calculation, which is focused on damage simulation analysis of the drone battery, power plant, camera and other key components, and studies the damage condition of fragments in different direction and at different speeds, which can improve theoretical basis and reference for fighting against the drone and its swarm.

Konflik China Dan Taiwan Dalam Tinjauan Hukum Internasional

Introduction: It is necessary to know that international law is basically a collection of applicable legal provisions defended by the international community. The current understanding of international law is law that refers to the relationship between one country and another, between a country and international organizations, which give rise to the rights and obligations of each country and international institutions. The Taiwan Air Force reported that at least 19 Chinese fighter jets, including nuclear bombers, entered their Air Defense Identification Zone (ADIZ) air defense zone on Sunday, May 9, 2021. Purposes of the Research: This study aims to study and understand the relationship between China and Taiwan in terms of international law and to examine and understand the penetration of Chinese fighter planes into Taiwan violating Taiwan's sovereignty in terms of international law.Methods of the Research: This research is a normative juridical research by means of research conducted by collecting primary, secondary, tertiary data, obtained by using library research. The data that has been collected is analyzed systematically based on legal disciplines to achieve clarity on the issues to be discussed.Results of the Research: The results obtained from this study are that the territorial sovereignty of the State is the most important thing in the case of relations between China and Taiwan according to international law. The territorial sovereignty of the State is a guarantee in upholding the meaning that the state has full power rights to exercise its territorial rights within the boundaries of its territory. This has been expressly regulated and stipulated in the provisions of international law as international law regulates the state to have the authority to be responsible and overcome violations of sovereignty in the territory of the country. As in the case of the conflict, the intrusion of Chinese fighter planes into Taiwan clearly violated the sovereignty of the State's territory, more specifically the territory of Taiwan, as well as impacted relations for the two countries. contrary to the applicable laws and regulation