• Journal of the Korean Society of Systems Engineering
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• v.17 no.2
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• pp.23-36
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• 2021

Recently, the rapid development of drones is increasing as a variety of threats to important facilities of the country. In order to build an anti-drone system that responds to drones with high technical characteristics, standardization is required in terms of operation, system, and technology. By applying the defense architecture framework, it contributes to the establishment of the optimal system by proposing a standardization plan for the operational and system perspectives of the anti-drone system by creating outputs equivalent to the stage of prior research on weapons systems. It is a prerequisite for building a drone system the operational concept of the anti-drone system, the definition of the drone threat, the function of each component, the interface, the definition of data flow, the system performance and effect scale, etc. Management, security officers, and equipment manufacturers of important national and public facilities on site expect that it will be used as an objective standard at the government level for the component technology of the equipment to respond to the drone threat and the performance required in the environment.

• The Journal of the Institute of Internet, Broadcasting and Communication
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• v.24 no.3
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• pp.163-169
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• 2024

Anti-drone (anti-drone) is at the center of the debate over the failure to shoot down a North Korean drone that invaded the metropolitan area at the end of 2022. Anti-drone is a means of detecting and restraining drone flights in unauthorized airspace. Anti-drone technology is a key defense system for drone technology that is essential in the current illegal situation of various drones. We must be alert in the war in Ukraine, where the role of drones has increased. Drone attacks, which are not easy to defend, may determine the victory or defeat of the war. Competition for anti-drone technology development in countries around the world will rise. When new anti-drone technology emerges, drones that go beyond it will be developed. This study presented the current status of anti-drone by analyzing the defense system of domestic drones.

• Journal of the Korean Society of Systems Engineering
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• v.19 no.2
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• pp.126-134
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• 2023

Drones are emerging as a new security threat, and the world is working to reduce them. Detection and identification are the most difficult and important parts of the anti-drone systems. Existing detection and identification methods each have their strengths and weaknesses, so complementary operations are required. Detection and identification performance in anti-drone systems can be improved through the use of artificial intelligence. This is because artificial intelligence can quickly analyze differences smaller than humans. There are three ways to utilize artificial intelligence. Through reinforcement learning-based physical control, noise and blur generated when the optical camera tracks the drone may be reduced, and tracking stability may be improved. The latest NeRF algorithm can be used to solve the problem of lack of enemy drone data. It is necessary to build a data network to utilize artificial intelligence. Through this, data can be efficiently collected and managed. In addition, model performance can be improved by regularly generating artificial intelligence learning data.

• The Journal of the Convergence on Culture Technology
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• v.10 no.4
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• pp.483-494
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• 2024

This study is a study on influencing factors to derive considerations when establishing a large drone integrated protection system targeting important national facilities. Currently, drone protection is implemented by piecemeal installation of drone protection equipment developed on the market in response to the needs of government agencies, the military, and national important facilities. For this reason, there is a waste of resources, such as duplicate installation or overlapping operation of equipment, and institutional and legal problems between operations are emerging. Accordingly, we sought to identify factors influencing the establishment of an efficient and systematic anti-drone protection system targeting national important facilities. Considering the research purpose and scope, this study derived 3 influencing factors and 12 detailed influencing factors through case analysis, protection theory research, and analysis of related laws. If the results of this study are used as considerations when building an integrated anti-drone protection system in the future, all national defense elements will be integrated and systematic integrated anti-drone protection will be possible according to their respective roles. In addition, it will provide a theoretical foundation for building an integrated anti-drone protection system. The results of this study are valuable in that they present logical and systematic influencing factors for establishing an integrated anti-drone protection system.

• Convergence Security Journal
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• v.23 no.2
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• pp.75-84
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• 2023

Recently, as the use of drones for military purposes is increasing, such as the Russia-Ukraine War, North Korea's reconnaissance against South Korea, and Army Tiger 4.0's dronebot system, anti-drone technology is developing a lot in each country. However, traditional anti-drone technologies in the form of using conventional weapons or electronic warfare weapons have the disadvantage of being expensive, so anti-drone technologies that can be performed at low cost are currently being newly researched. Therfore, in response to these anti-drone technologies, many efforts are being made to increase the survivability of our allies. In line with this trend, this study assumes a virtual anti-drone system applied with cyber domain and electronic warfare domain technologies that can be performed at low cost, rather than a technique using expensive conventional weapons or electronic warfare weapons among various anti-drone technologies. In response to this, we would like to present a plan to increase the survivability of friendly drones.

• The Journal of the Korea institute of electronic communication sciences
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• v.18 no.6
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• pp.1217-1228
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• 2023

In this paper, technical and patent analysses of anti-drone technology, which aim to neutralize drone attacks are conducted. We conducted research on the technical definition of anti-drone, the technical elements of anti-drone systems, and investigated the patents related to anti-drone and drone filed domestically and internationally over the past 10 years, starting from 2011. For domestic patents, we examined the number of patent applications related to anti-drone and the overall domestic patent applications over the past 10 years. Regarding international filings, we investigated the patent applications related to anti-drone filed in the United States, Europe, Japan, China, and under the PCT system in the past 10 years. We conducted a search for patents related to anti-drone, including neutralization techniques identified under the keyword "anti-drone," patents related to drone detection and identification techniques, and patents related to drone neutralization techniques. Through the conducted research, a total of 91 patents were filed for drone detection techniques. Out of these, 5 patents, accounting for 5.5%, were filed by public institutions. In the case of patents filed for drone identification techniques, there were a total of 174 patents. Among these, 4 patents, which is 2.3%, were filed by public institutions.

• Electronics and Telecommunications Trends
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• v.37 no.1
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• pp.10-20
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• 2022

A drone without attaching guns or bombs can be a dangerous weapon, since its motor speed is greater than 3000 rpm, which is similar to that of a mower powered by a LiPo battery. The anti-drone system is the only means of detecting and neutralizing drone attacks. Many defense companies around the world provide solutions using various types of equipment (for example, radar, cameras, jamming guns, and net guns). ETRI has also developed a Low-Altitude Drone Detection (LADD) system consisting of Ku-band radar and an Electro-Optical/Infra-Red (EO/IR) camera. In this paper, we summarize recent technical advances in anti-drone systems around the world and introduce the features and describe the performance of the LADD system.

• Journal of Digital Convergence
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• v.18 no.11
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• pp.247-257
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• 2020

The Purpose of this study is to present effective Anti-Drone systems to protect national important facilities against drones that are illegally used by crime groups and terrorists with malicious intents. In order to accomplish the purpose of the study, technical and policy reports regarding Anti-Drone systems, open documents from manufacturers and various research papers are reviewed, and in-depth interviews with experts were conducted. Studies have shown that it is effective to overlay and mix different detection systems so that they can improve detection rates by supplementing each other's advantages and disadvantages, and that the means of incapacitation need to acquire flexibility by using both soft-kill and hard-kill methods in accordance with operational environment for the effective usage. In other words, the establishment of an illegal drone pre-management system, mixed and overlapping detection assets, determining appropriate countermeasures, and multiple distribution of means of incapacitation. The establishment of a protection system for important national facilities through the operation of overlapping and complex anti-drone systems is the most urgent task.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2019.05a
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• pp.63-66
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• 2019

Recently, as the technology of drones develops, a malicious attack using a drones becomes a problem, and an anti-drone technology for detecting an attack dron for a malicious attack is required. However, currently used drone detection systems are expensive and require a lot of manpower. Therefore, in this paper, we propose an anti - drone method using the analysis and algorithms of the anti - drone that can monitor the attack drones. In this paper, we identify and detect attack drones using sniffing, and propose capture and deception algorithm through spoofing using current GPS based detection system.

• Journal of the Korea Society of Computer and Information
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• v.28 no.4
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• pp.93-104
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• 2023

Recently, the technology of drones is developing remarkably. The role of military drones is so great that they can cause serious damage to the enemy's important strategic assets without any damage to our allies in all battlefield environments (land, sea, air). However, the battleship combat management system currently operated by the Korean Navy is vulnerable to defense because there is no customized defense system against drones. As drones continue to develop, they are bound to pose a major threat to navy in the future. This paper proposes a way for the warfare software of naval combat management system sets a combat mode suitable for anti-drone battle, evaluates the threat priority in order to preemptively respond to drone threats and eliminate drone threats through automatic allocation of self-ship-mounted weapons and sensors, and through a test of the improved warfare software in a simulated environment, it was proved that the time to respond to the drone was improved by 62%.