• Title/Summary/Keyword: 불법드론

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Discussions on Regulation and Use of Police Drones (경찰활동상 드론규제와 활용을 위한 논의)

  • Park, Han-Ho;Kim, Sung-Hwan
    • The Journal of the Korea Contents Association
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    • v.17 no.7
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    • pp.408-415
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    • 2017
  • The aim of this study is to discuss some of the prominent ideas which use drone for police works. Focusing on the extent of the utility and practicability of using drone in policing, this paper attempts to address both positive and negative aspects in conjunction with related statutes and regulations. This study uses a qualitative case study approach and offers three practical implications including: (1) enacting a law that covers using drones in policing, (2) hiring technical professionals or training police officers to prevent illegal drones and to implement a variety of policing strategies, and (3) collecting data and information on crime and criminals and then developing the best way to respond to these problems.

An Illegal Drone Tracking Scheme Using Swarming Flight (군집 비행을 이용한 불법 드론 추적 기법)

  • Kim, Ryun-Woo;Song, Hong-Jong;Ban, Tae-Won
    • Journal of the Korea Institute of Information and Communication Engineering
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    • v.26 no.6
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    • pp.943-948
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    • 2022
  • Drones have been widely used in various fields due to the rapid development of done-related technologies, which causes various problems. The schemes which can track target drones by using signal transmitted by target drones have been investigated as a key technology for anti-drone systems to solve these problems. In this paper, we investigate an illegal drone tracking system based on swarming flight that consists of multiple small drones in order to resolve the limitations of a conventional system that consists of a single drone. In addition, we also propose a scheme with which we can adaptively adjust the separation distance between small drones in a swarm according to channel situations. We analyzed the performance of the proposed scheme in terms of success ratio and the number of movements. The proposed scheme can improve the success ratio and the number of movements by 170% and 63% respectively, compared to the conventional scheme.

Optimal Surveillance Trajectory Planning for Illegal UAV Detection for Group UAV using Particle Swarm Optimization (불법드론 탐지를 위한 PSO 기반 군집드론 최적화 정찰궤적계획)

  • Lim, WonHo;Jeong, HyoungChan;Hu, Teng;Alamgir, Alamgir;Chang, KyungHi
    • Journal of Advanced Navigation Technology
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    • v.24 no.5
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    • pp.382-392
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    • 2020
  • The use of unmanned aerial vehicle (UAV) have been regarded as a promising technique in both military and civilian applications. Nevertheless, due to the lack of relevant and regulations and laws, the misuse of illegal drones poses a serious threat to social security. In this paper, aiming at deriving the three-dimension optimal surveillance trajectories for group monitoring drones, we develop a group trajectory planner based on the particle swarm optimization and updating mechanism. Together, to evaluate the trajectories generated by proposed trajectory planner, we propose a group-objectives fitness function in accordance with energy consumption, flight risk. The simulation results validate that the group trajectories generated by proposed trajectory planner can preferentially visit important areas while obtaining low energy consumption and minimum flying risk value in various practical situations.

The Analysis of The Jaming Effectiveness according to Anti-Drone Detection Distance (안티드론 탐지 거리에 따른 재밍의 영향성 분석)

  • Hong, Sung-Hwa
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2021.10a
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    • pp.664-666
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    • 2021
  • Anti-drone means a device that detects and blocks the intrusion and activity of illegal drones, and includes technology that crashes illegal drones or destroys them in the air. This paper analyzes the impact of jamming due to remote drone detection with anti-drone technology. The impact of jamming signals may vary depending on the distance of the drone. The present invention has an advantage of simultaneously jamming a drone at a short distance and a drone at a long distance due to the generation of a triangular wave, and efficiently operates a battery by not transmitting the drone at a maximum power.Also, even if the jamming is not affected at a distance, the jamming effect is greater at a close range, so it can be influenced differently.

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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.

Replay Attack based Neutralization Method for DJI UAV Detection/Identification Systems (DJI UAV 탐지·식별 시스템 대상 재전송 공격 기반 무력화 방식)

  • Seungoh Seo;Yonggu Lee;Sehoon Lee;Seongyeol Oh;Junyoung Son
    • Journal of Aerospace System Engineering
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    • v.17 no.4
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    • pp.133-143
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    • 2023
  • As drones (also known as UAV) become popular with advanced information and communication technology (ICT), they have been utilized for various fields (agriculture, architecture, and so on). However, malicious attackers with advanced drones may pose a threat to critical national infrastructures. Thus, anti-drone systems have been developed to respond to drone threats. In particular, remote identification data (R-ID)-based UAV detection and identification systems that detect and identify illegal drones with R-ID broadcasted by drones have been developed, and are widely employed worldwide. However, this R-ID-based UAV detection/identification system is vulnerable to security due to wireless broadcast characteristics. In this paper, we analyze the security vulnerabilities of DJI Aeroscope, a representative example of the R-ID-based UAV detection and identification system, and propose a replay-attack-based neutralization method using the analyzed vulnerabilities. To validate the proposed method, it is implemented as a software program, and verified against four types of attacks in real test environments. The results demonstrate that the proposed neutralization method is an effective neutralization method for R-ID-based UAV detection and identification systems.

A Study on the Establishment of Anti-Drone system for the Protection of National Important Facilities (국가중요시설 방호를 위한 안티드론 시스템 구축 방안 연구)

  • Hwang, Soon-phil;Kim, Doo-hwan
    • 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.

Design of Context-Aware-Based Drone Control Mechanism by Using Two-Factor (이중요소를 이용한 상황인지 기반 드론 제어 메커니즘 설계)

  • Oh, Yoon-Seok;Kim, Aeyoung;Seo, Seung-Hyun
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.29 no.1
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    • pp.57-66
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    • 2019
  • Drones, which are used in various fields, are vulnerable to various security threats such as physical deodorization attacks and information leakage attacks because they operate in an unmanned environment and use wireless communication with weak security. In particular, research is needed to prevent damages such as leakage of stored information and unauthorized use due to illegal drone deodorization. In this paper, we propose a context - aware drone control mechanism that protects stored internal information and prevents unauthorized use when the drones are illegally deactivated. We also demonstrated the feasibility of the proposed mechanism as a prototype implementation and experiment.

YOLO based Drone detection on Embeded Board (임베디드 보드에서의 YOLO 기반 드론 탐지)

  • Yu, ByeungHo;Park, HanBin;Kim, MinSung;Choi, Haechul
    • Proceedings of the Korean Society of Broadcast Engineers Conference
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    • fall
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    • pp.335-337
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    • 2021
  • 최근 드론의 용도는 취미, 공연, 농업, 안전, 군사, 연구, 물자수송 등 다양한 분야와 목적으로 활용되고 있다. 더불어 드론의 불법적 활용으로 인한 안전 및 법적 문제 또한 빈번히 발생하고 있어, 이런 문제들을 예방하기 위한 드론의 탐지 기술이 활발히 연구되고 있다. 본 논문은 카메라로 촬영된 영상에서 조류와 같은 다른 객체와 구별하여 드론을 탐지하는 기술과 상공에서 바라본 객체들을 탐지하는 기술을 구현한다. 제안 방법은 딥러닝 기반의 YOLOv4를 사용하였다. UAV_123 데이터세트로 학습한 실험 결과, mAP는 85%, Recall은 85%, Precision은 81%의 정확도를 보였다. 제안 방법은 인명 구조, 배송, 건축 뿐만 아니라 안티 드론 시장에서도 효과적으로 활용될 수 있을 것으로 기대된다.

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무인이동체 드론의 취약점분석 및 대응기술 연구 동향

  • Kim, Myoungsu;You, Ilsun;Yim, Kangbin
    • Review of KIISC
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    • v.30 no.2
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    • pp.49-57
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    • 2020
  • 군사 등의 특수 목적으로만 사용되었던 무인비행체 드론이 최근 상용 수준의 간결한 구조와 저가화가 가능해지면서 여러 제조업체를 통하여 민간분야의 다양한 응용에 활용 가능함을 증명하고 있다. 그러나 제조업체들 간의 시장 우위 선점을 위한 과열 경쟁으로 인하여 보안 안전성 검증 단계를 거치지 않은 드론과 이에 수반되는 애플리케이션이 시장에 바로 출시되면서 이들이 우리 사회를 향한 공격도구로 활용될 수 있다는 새로운 잠재적 위협이 우려되고 있다, 이와 관련하여 현재 드론과 애플리케이션과의 연결 및 데이터 통신 과정에서 완성도가 낮은 접근제어 기술이나 암호화되지 않은 통신방식을 비롯하여 드론 내부 소프트웨어의 코딩 상의 문제점 등에 의하여 다양한 취약점이 노출되고 있는 상태이다. 이러한 취약점들로 인하여 드론의 인증 해제 및 하이재킹을 통한 불법 영상촬영이나 개인정보의 유출 등을 비롯하여 특정 목표물을 향한 드론의 고의적 추락 등이 발생할 경우 재산 피해뿐만 아니라 인명 피해까지 발생할 수 있다. 특히, 현재의 드론 응용은 초기단계여서 향후 다양한 응용과 유관 기술들이 폭넓게 전개되어야 하는 시점에서 이러한 사고 가능성은 매우 심각하게 인식되어야 할 것이다. 더구나 제4차 산업혁명 시대의 드론은 비상시를 위한 다이나믹 모바일 게이트웨이 역할까지도 수행하여야 하는 환경에서 악의적인 행위는 전체 사회로 확산될 우려도 있으므로 미래 사회의 드론을 위한 안전문제는 매우 시급하고 중대하다고 할 수 있다. 이에 본 고에서는 현재까지 발표된 드론에 대한 다양한 보안위협을 조사하고 이러한 보안 위협을 요소별로 분류하여 정리하였다. 본 기고가 간단하게나마 정리한 내용을 통하여 다양한 보안위협에 대한 대응기술을 준비하기 위한 시발점이 되었으면 한다.