• Proceedings of the Korean Society of Disaster Information Conference
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• 2023.11a
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• pp.319-320
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• 2023

본 논문은 이러한 국가중요시설에서의 드론테러 위협과 대응실태를 분석하여 문제점을 도출함으로써 안티드론시스템을 실효적으로 활용하기 위한 법·제도적 발전방안을 제시하는 데에 연구의 목적으로 두었다. 연구방법은 질적연구방법으로서 기존 선행연구논문, 정책자료 등에서 다루지 못한 다양한 문제점들을 전문가 심층면담을 통해 분석하였다. 심층면담을 위한 연구참여자는 국내 안티드론 및 테러분야 전문가 16명을 선정하여 반구조화 인터뷰 12개 문항을 토대로 진행하였다. 연구결과 현재 우리나라 국가중요시설 드론테러에 대해 효과적으로 대응하기 위해서 선행되어야 할 4 가지 문제점에 대한 개선사항이 식별되었다.

• Journal of The Korean Institute of Defense Technology
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• v.5 no.3
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• pp.18-28
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• 2023

The threat of drones is widely occurring not only in the military field but also for important national facilities such as airports and nuclear power plants. Drones are very diverse in types and control methods, so it is not easy to have a uniform defense method and system, and with the development of drone technology, the war paradigm using drones as weapons is also changing. In particular, advances in drone technology are improving the efficiency and accuracy of reconnaissance and attack missions. Nevertheless, it is very difficult to secure research cases on military operation of drones due to difficulties in obtaining information on military operations. Therefore, in this study, we try to create basic data that can effectively establish a plan for performing reconnaissance and attack missions by deriving each operational aspect through analysis of operation cases of reconnaissance and attack drones.

• Journal of Internet Computing and Services
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• v.25 no.1
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• pp.147-155
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• 2024

Currently, the 4th Industrial Revolution, like other revolutions, is bringing great change and new life to humanity, and in particular, the demand for and use of drones, which can be applied by combining various technologies such as big data, artificial intelligence, and information and communications technology, is increasing. Recently, it has been widely used to carry out dangerous military operations and missions, such as the Russia-Ukraine war and North Korea's reconnaissance against South Korea, and as the demand for and use of drones increases, concerns about the safety and security of drones are growing. Currently, a variety of research is being conducted, such as detection of wireless communication abnormalities and sensor data abnormalities related to drones, but research on real-time detection of threats using radio frequency characteristic data is insufficient. Therefore, in this paper, we conduct a study to determine whether the characteristic data is normal or abnormal signal data by collecting radio frequency signal characteristic data generated while the drone communicates with the ground control system while performing a mission in a HITL(Hardware In The Loop) simulation environment similar to the real environment. proceeded. In addition, we propose an unsupervised learning-based threat detection system and optimal threshold that can detect threat signals in real time while a drone is performing a mission.

• Journal of Advanced Navigation Technology
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• v.21 no.1
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• pp.145-152
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• 2017

As a popularization of small UAS to have improved flight performance and easiness of controlling, the UAS industry is increased and also small UAS is to be a new threat for airspace security of national strategic infrastructure. Rising the new threat makes the negative side effect of small UAS operation. This phenomena brought to new R&D needs "defense system" for small UAS/UAV - called Anti-Drone. The paper addressed case study of defects, accidents and threats by small UAS/UAV as world wide level, and research and development trend of UAS defense system as each technical category - CONOP (Concept of Operation), identification/recognition method and control/supremacy techniques. As a result, this suggests the direction what and where drone defense system should be applied first and required for Korean society in the view of society system (regime) and a point of view for minimizing side effect as UAS popularization.

• Journal of Advanced Navigation Technology
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• v.24 no.5
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• pp.393-407
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• 2020

In order to reduce the threat by illegal unmanned aerial vehicles, a tracking system based on sound was implemented. There are three main points to the drone acoustic tracking method. First, it scans the space through variable beam formation to find a sound source and records the sound using a microphone array. Second, it classifies it into a hidden Markov model (HMM) to find out whether the sound source exists or not, and finally, the sound source is In the case of a drone, a sound source recorded and stored as a tracking reference signal based on an adaptive beam pattern is used. The simulation was performed in both the ideal condition without background noise and interference sound and the non-ideal condition with background noise and interference sound, and evaluated the tracking performance of illegal drones. The drone tracking system designed the criteria for determining the presence or absence of a drone according to the improvement of the search distance performance according to the microphone array performance and the degree of sound pattern matching, and reflected in the design of the speech reading circuit.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2016.05a
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• pp.355-358
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• 2016

Recently, As the interest of the drone has increased the fields such as broadcasting, disaster site and leisure which uses the drone has been constantly expanded. However, an invasion of a person's privacy and a threat of hacking attack also have increased as population of drone. High-resolution cameras mounted on drones can take a photo or real-time video anytime and anywhere. It causes the invasion of privacy from private houses, buildings, and hotels. In this paper, we perform a security vulnerability assessment tests on the camera's from common commercial drones and we propose the countermeasures to protect the drones against unauthorized attacker who attempts to access the drone's camera from internal or external. Through this research, we expect the Aviation Act and legislation accept the concept of security and provide the polices such as drones equipped with security devices from the production stage to promote drone industry.

• The Journal of the Convergence on Culture Technology
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• v.9 no.3
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• pp.257-262
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• 2023

Recently there are increasing number of claims that it is necessary to build a countermeasure in case of aggressive threats by small drones. During Russia-Ukraine war ignited by Russian invasion on February 2022, attacking drones have been being used widely to damage other country's national major facilities. On December 2022, 5 drones sent by North Korea made a flight around Seoul, South Korea about 7 hours, but it was not successful to search and track them. Furthermore, none of these were destroyed and shot down. Counter-drone system is essential system to search and identify unintended small drones and disable them. This paper is for proposing required functions for building a counter-drone system for national major facilities. We conducted focus group interviews with relevant government officials and analyzed their suggestions on how to augment protection capabilities to defend against small drone attacks.

• 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.17 no.5
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• pp.163-178
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• 2017

Recently, drone applications have been expanded not only in the military and security fields but also in daily life such as commercial and sports, and there is also a growing interest in using drone for private security work. This study focuses on the discussion on the use of drones in private security, drones regulation in the related laws such as the Private Security Act and the Aviation Safety Law, and major issues in accepting the Private Security Act. First, it focuses on the scope of private security work as defined by the Private Security Act, focusing on the use of drones as surveillance, information gathering, guidance and warning services, evacuation services, search and related material transport services, respectively. Second, the related laws for the use of drones in private security work include the Private Security Act and the Aviation Safety Act. However, the Private Security Act does not prescribe the current drones and the use of drones is regulated by Aviation Safety Act. Third, it is necessary to adjust the qualifications and authority range of security guards in the Private Security Act, to accept the drones as a type of security equipment, and to consider how countermeasures against threat types using drones should be accepted in the Private Security Act.

• Journal of Advanced Navigation Technology
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• v.26 no.5
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• pp.304-311
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• 2022

Although the SEAD(suppression to enemy air defenses) mission is a strategically important task in modern warfare, the high risk of direct exposure to enemy air defense assets forces to use of unmanned aerial vehicles. this paper proposes a path planning algorithm for SEAD mission for an unmanned aerial vehicle and a method for calculating the mission effectiveness on the planned path. Based on the RRT-based path planning algorithm, a low-altitude ingress/egress flight path that can consider the enemy's short-range air defense threat was generated. The Dubins path-based Intercept path planning technique was used to generate a path that is the shortest path while avoiding the enemy's short-range anti-aircraft threat as much as possible. The ingress/intercept/egress paths were connected in order. In addition, mission effectiveness consisting of fuel consumption, the survival probability, the time required to perform the mission, and the target destruction probability was calculated based on the generated path. The proposed techniques were verified through a scenario.