• Title/Summary/Keyword: 드론위협

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Unsupervised Learning-Based Threat Detection System Using Radio Frequency Signal Characteristic Data (무선 주파수 신호 특성 데이터를 사용한 비지도 학습 기반의 위협 탐지 시스템)

  • Dae-kyeong Park;Woo-jin Lee;Byeong-jin Kim;Jae-yeon Lee
    • 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.

Countermeasure of Uumanned Aerial Vehicle (UAV) against terrorist's attacks in South Korea for the public crowded places (국내 소프트 타깃 대상 드론테러의 법제도 개선방안 연구)

  • Oh, Hangil
    • Journal of the Society of Disaster Information
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    • v.15 no.1
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    • pp.49-66
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    • 2019
  • Purpose: This study aims to apply the counter terrorism policy in pertain to malicious drone abuse and the croweded public places in South Korea. And, to improve counter terrorism protection measure, this study suggests an adoptation of Anti UAV technology into counter terrorism related regulation. Method: Compared to nations' operations of counter terrorism prevention and protection activities with the South Korean gov, problems and limitations are suggested. Results: Anti UAV technology could not be applied for Multi-user facilities by any law due to the limitation, so that it is required to amend counte terrporism related policies and law. Conclusion: This study intends to identify various protection methods against UAV threats. To reduce the risk of UAV, the law of public safety and counter terrorism should be promoted and reinforced for the first.

Vulnerability Analysis and Demonstration of a GPS Spoofing Attack in Drone Environment: Based on Product G (드론 환경에서의 GPS 스푸핑 취약점 분석 및 실증: G 제품을 대상으로)

  • Sejun Hong;Suwan Ko;Kyungroul Lee
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2023.07a
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    • pp.215-216
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    • 2023
  • 군사 목적으로 사용되던 드론이 일반 사용자를 위한 범용 드론으로 활용 분야가 확장됨에 따라, 국방 및 운송, 물류, 농업과 같은 다양한 분야에서 활용되는 실정이며, 이와 관련된 산업의 발전에 기여하고 있다. 그러나 급격한 발전으로 인하여, 드론의 안전성은 고려하지 못한 한계점이 존재하였고, 이는 드론에서의 다양한 보안위협으로 나타났다. 본 논문에서는 4차 산업 혁명 시대의 핵심 기술인 드론의 안전성을 향상시키기 위한 목적으로, 드론의 신규 취약점을 발굴하고 실증하였다. 실험을 위하여, 최근 출시된 G 제품을 대상으로, 드론에서 발생 가능한 다양한 취약점 중 하나인 GPS 스푸핑 공격을 시도하였으며, 실험 결과, GPS 좌표를 변조함으로써, 비행이 가능한 구역에서 비행 금지 구역으로 인식하도록 좌표를 조작하였으며, 비행 금지 구역으로 인식한 드론은 준비된 동작에 따라, 강제로 착륙시키거나 다른 장소로 이동시키는 것이 가능하다. 본 논문의 결과는 드론의 안전성을 향상시키기 위한 참고 자료로 활용될 것으로 사료된다.

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A Study on the Response Plan through the Analysis of North Korea's Drones Terrorism at Critical National Facilities - Focusing on Improvement of Laws and Systems - (국가중요시설에 대한 북한의 드론테러 위협 분석을 통한 대응방안 연구 - 법적·제도적 개선을 중심으로 -)

  • Choong soo Ha
    • Journal of the Society of Disaster Information
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    • v.19 no.2
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    • pp.395-410
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    • 2023
  • Purpose: The purpose of this study was to analyze the current state of drone terrorism response at such critical national facilities and derive improvements, especially to identify problems in laws and systems to effectively utilize the anti-drone system and present directions for improvement. Method: A qualitative research method was used for this study by analyzing a variety of issues not discussed in existing research papers and policy documents through in-depth interviews with subject matter experts. In-depth interviews were conducted based on 12 semi-structured interviews by selecting 16 experts in the field of anti-drone and terrorism in Korea. The interview contents were recorded with the prior consent of the study participants, transcribed back to the Korean file, and problems and improvement measures were derived through coding. For this, the threats and types were analyzed based on the cases of drone terrorism occurring abroad and measures to establish anti-drone system were researched from the perspective of laws and systems by evaluating the possibility of drone terrorism in the Republic of Korea. Result: As a result of the study, improvements to some of the problems that need to be preceded in order to effectively respond to drone terrorism at critical national facilities in the Republic of Korea, have been identified. First, terminologies related to critical national facilities and drone terrorism should be clearly defined and reflected in the Integrated Defense Act and the Terrorism Prevention Act. Second, the current concept of protection of critical national facilities should evolve from the current ground-oriented protection to a three-dimensional protection concept that considers air threats and the Integrated Defense Act should reflect a plan to effectively install the anti-drone system that can materialize the concept. Third, a special law against flying over critical national facilities should be enacted. To this end, legislation should be enacted to expand designated facilities subject to flight restrictions while minimizing the range of no fly zone, but the law should be revised so that the two wings of "drone industry development" and "protection of critical national facilities" can develop in a balanced manner. Fourth, illegal flight response system and related systems should be improved and reestablished. For example, it is necessary to prepare a unified manual for general matters, but thorough preparation should be made by customizing it according to the characteristics of each facility, expanding professional manpower, and enhancing response training. Conclusion: The focus of this study is to present directions for policy and technology development to establish an anti-drone system that can effectively respond to drone terrorism and illegal drones at critical national facilities going forward.

Research on the drone detection based on the radar (레이다 기반의 드론 탐지 기법 연구)

  • Moon, Minjung;Song, Kyungmin;Yu, Sujin;Sim, Hyunseok;Lee, Wookyung
    • Journal of Satellite, Information and Communications
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    • v.12 no.2
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    • pp.99-103
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    • 2017
  • Recently, acccording to price decline and miniaturization of drone, it is increased dramatically that drone usage in various category including military and private sectors. In accordance with popular usage, There is a increasing risk of safety accident, national security and public privacy problem. Hence there is a high demand for study and analysis applicable to the related technology and anti-drone method including drone detection and jamming. In general, it is extremely difficult to detect and recognize drones using conventional sensors. In this paper, we classify drone detection technology and Drone detection experiments are performed using CW RADAR to obtain and analyze micro-doppler pattern. This preliminary study aims to provide fundamental theory on radar drone detection and experimental test results such that in-depth anti-drone technology can be established in future.

A Study On Optimized Drone Forensic Methodology Applied with Open Source Based Drone Live Forensic Tool (오픈소스 기반 드론 라이브 포렌식 도구를 활용하는 드론 포렌식 방법론 연구)

  • Seyoung Baik;Sangwook Lee
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.33 no.4
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    • pp.633-646
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    • 2023
  • The increases in UAVs(Unman Aerial Vehicle) such as drone result in safety issues and the threat of illegal drone as well. Recognizing the need for Drone forensics, domestic and foreign organizations and agencies are trying to establish drone forensic guidelines. The definition of Drone forensic artifacts and examination of forensic tools must be provided, in order to establish a practical drone forensic framework on security sites and also the concept of drone live forensic which provides meaningful data that can be extracted in a live state. In this study, the drone forensic methodology covering various types of drones is explained, and the practical forensic methodology with live forensic PoC(Proof Of Concept) tools; LiPFo(Live-PX4-Forenensic) is proposed.

Vulnerability Analysis and Demonstration of WiFi Password Cracking in Drone Environment: Based on Products A and B (드론 환경에서의 WiFi 패스워드 크래킹 취약점 분석 및 실증 : A와 B 드론을 대상으로)

  • Wonbin Jeong;Jinwook Kim;Heewon Song;Sejun Hong;Kyungroul Lee
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2024.01a
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    • pp.113-115
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    • 2024
  • 최근 개발되는 드론은 사용자의 편의를 위하여, 사진이나 동영상과 같은 파일을 휴대 기기로 전송하거나 휴대 기기로 드론을 조종하는 것과 같은 휴대 기기를 통한 다양한 기능들을 제공하며, 이러한 기능들은 와이파이를 기반으로 이루어진다. 그러나, 와이파이는 인증 해제 공격이나 Evil Twin 공격과 같은 취약점이 존재하며, 이러한 취약점으로 인하여 드론에서 제공하는 다양한 기능들과 관련된 보안 위협이 발생할 가능성이 존재한다. 따라서, 본 논문에서는 와이파이를 사용하는 드론에서 발생 가능한 취약점을 미리 분석하고 방어하기 위한 목적으로, 와이파이에서 발생 가능한 취약점 중 하나인 패스워드 크래킹 취약점을 분석하였다. 실험 결과, 드론에서 제공하는 와이파이의 패스워드를 크래킹함으로써 공격자가 드론 네트워크 내부로 진입이 가능한 것을 실증하였다. 향후, 드론 환경에서 패스워드 크래킹 뿐만 아니라, 와이파이에서 발생 가능한 다양한 취약점을 분석하고 실증할 예정이다.

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A Research on Adversarial Example-based Passive Air Defense Method against Object Detectable AI Drone (객체인식 AI적용 드론에 대응할 수 있는 적대적 예제 기반 소극방공 기법 연구)

  • Simun Yuk;Hweerang Park;Taisuk Suh;Youngho Cho
    • Journal of Internet Computing and Services
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    • v.24 no.6
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    • pp.119-125
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    • 2023
  • Through the Ukraine-Russia war, the military importance of drones is being reassessed, and North Korea has completed actual verification through a drone provocation towards South Korea at 2022. Furthermore, North Korea is actively integrating artificial intelligence (AI) technology into drones, highlighting the increasing threat posed by drones. In response, the Republic of Korea military has established Drone Operations Command(DOC) and implemented various drone defense systems. However, there is a concern that the efforts to enhance capabilities are disproportionately focused on striking systems, making it challenging to effectively counter swarm drone attacks. Particularly, Air Force bases located adjacent to urban areas face significant limitations in the use of traditional air defense weapons due to concerns about civilian casualties. Therefore, this study proposes a new passive air defense method that aims at disrupting the object detection capabilities of AI models to enhance the survivability of friendly aircraft against the threat posed by AI based swarm drones. Using laser-based adversarial examples, the study seeks to degrade the recognition accuracy of object recognition AI installed on enemy drones. Experimental results using synthetic images and precision-reduced models confirmed that the proposed method decreased the recognition accuracy of object recognition AI, which was initially approximately 95%, to around 0-15% after the application of the proposed method, thereby validating the effectiveness of the proposed method.

Study on Legal Regulations for Utilization of Drone in Private Security (민간경비에서 드론 활용과 법적 규제에 관한 연구)

  • Kim, Kye Won;Seo, Jin Seok
    • 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.

Vulnerability Analysis and Demonstration of a GPS Spoofing Attack: Based on Product A (드론 환경에서의 GPS 스푸핑 공격 취약점 분석 및 실증: A 드론을 대상으로)

  • Youngjae Lee;Jinwook Kim;Wonbin Jung;Kyungroul Lee
    • Proceedings of the Korean Society of Computer Information Conference
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    • 2024.01a
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    • pp.109-111
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    • 2024
  • 군사 목적으로 개발된 드론은 최근 다양한 산업 및 민간 분야로 확대되고 있으며, 이러한 확대에 따라, 드론이 급격하게 발전하여, 농업이나 무인 드론 택배와 같은 산업 전반적으로 긍정적인 효과를 창출하는 추세이다. 그러나 이러한 발전에 반하여, 드론에 장착된 카메라를 통한 사생활 침해나 테러 목적으로 활용하는 것과 같은 부정적인 측면이 드러나기 시작하였다. 특히, 드론의 위치와 밀접한 연관이 있는 GPS와 관련하여, 무인 이동체의 특성상, GPS 신호에 의존하여 사용자에게 드론의 위치를 전달하지만, 이러한 GPS 신호를 송신하는 위성은 거리가 매우 멀리 위치하고, 이에 따라, 신호 세기가 비교적 약한 문제점을 가진다. 이와 같은 문제점을 악용하는 GPS 스푸핑 공격이 등장하였으며, 이 공격은 만약 공격자가 GPS 신호를 조작하여 송신한다면, 드론에 장착된 GPS 수신기는 조작된 GPS 위치를 수신하며, 이에 따라, 드론의 제어권을 탈취하거나 충돌 유발, 비정상적인 비행 경로 유도와 같은 문제점이 발생한다. 본 논문에서는 최신의 상용화된 드론을 대상으로, GPS 스푸핑 공격의 취약점을 분석하고 실증한다. 이를 위하여, 공격자가 비행 금지 구역에 해당하는 GPS 신호를 조작하는 것으로 공격을 시도하고, 이에 따른 드론에서 준비된 동작인 강제 착륙과 같은 비정상적인 행위를 유발하여, 드론의 임무 수행 능력을 제한하는 취약점을 분석하고 실험을 통하여 실증한다. 본 논문의 결과를 토대로, 최신 드론에서 발생 가능한 보안 위협을 도출함으로써, 드론의 안전성을 향상시키기 위한 자료로 활용될 수 있을 것으로 사료된다.

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