• 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.

• 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 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.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.33 no.4
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• pp.609-619
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• 2023

Recently, crimes using drones, one of the IoT industries have been continuously reported. In particular, drones are characterized by easy access and free movement, so they are used for various crimes such as transporting explosives, transporting drugs, and illegal recording. In order to analyze and investigate these criminal acts, drone forensic research is highly emphasized. Media data, PII, and flight records are digital forensic artifacts that can be acquired from drones, in particluar flight records are important artifacts since they can be used to trace drone activities. Therefore, in this paper, the characteristics of the deleted flight record files of DJI drones are presented and verified using the Phantom3, Phantom4 andMini2 models, two drones with differences in characteristics. Additionally, the recovery level is analyzed using the flight record file characteristics, and lastly, drones with the capacity to recover flight records for each drone model and drone models without it are classified.

• The Journal of the Convergence on Culture Technology
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• v.9 no.2
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• pp.327-332
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• 2023

On December 26, 2022, North Korea's drone provocation resumed for the first time in eight years. The threat covered not only the Seoul metropolitan area but also the no-fly zone for the presidential office's security, and the South Korean military's response to it is not appropriate, which is a major controversy. In the midst of this, problems caused by the prohibition of small drones' flight and illegal intrusion into restricted areas are increasing in Korea, and the threat is becoming a reality, such as being used for terrorist attacks abroad. In this paper, the concept of "Counter-Drone" and related technologies were considered for these drone threats, and implications were derived through domestic and overseas small drone threats, and the direction of development of the Counter-Drone system was presented. North Korea's drone threat is expected to be more diversified, massified, and advanced, resulting in bolder attacks and provocations. Therefore, the South Korean military should push for early powering of the integrated control system and the conter drone system, joint and military cooperation in response to the threat of small drones, and the ability to carry out joint operations between South Korea and the U.S.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.34 no.1
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• pp.103-114
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• 2024

In a situation where drone-related crimes continue to rise, research in drone forensics becomes crucial for preventing and responding to incidents involving drones. Conducting forensic analysis on flight record files stored internally is essential for investigating illegal activities. However, analyzing flight record files generated through the exclusive DUML protocol requires a deep understanding of the protocol's structure and characteristics. Additionally, a forensic analysis tool capable of handling cryptographic payloads and analyzing various drone models is imperative. Therefore, this study presents the methods and characteristics of flight record files generated by drones. It also explains the structure of the flight record file and the features of the DUML packet. Ultimately, we conduct forensic analysis based on the presented structure of the DUML packet and propose an extension forensic analysis system that operates more universally than existing tools, performing expanded syntactic analysis.

• Proceedings of the Korea Information Processing Society Conference
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• 2017.04a
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• pp.326-329
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• 2017

We argue that the one potential solution is creating a drone or quadcopter that could be used to detect the network hacking attempts and even have the capability to disconnect illegal drones from their user's jamming signals, or de-authenticate them from networks. This could be used as a direct countermeasure, or would at least provide monitoring capacities, for these criminally-purposed drones. In this paper, we focus on implementing the device that can detect intrusion.

• Electronics and Telecommunications Trends
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• v.36 no.6
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• pp.46-54
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• 2021

Drone remote identification (ID) capability is essential to ensure public safety, help law enforcement, and secure the safety and efficiency of the national airspace. Remote ID technology can be used to differentiate compliant drones from illegal drones that pose a potential security risk by providing airspace awareness to the civil aviation agency and law enforcement entities. In addition, the increased safety and efficiency obtained by mandating remote ID will make it possible to operate drones over populated areas and beyond visual lines of sight. In addition, remote ID will allow drones to be safely integrated into unmanned traffic management systems and the national airspace. Remote ID devices can be categorized by type, i.e., broadcast remote ID or network remote ID. The broadcast remote ID, which has high technical maturity and will be applied in the near future, is primarily considered to ensure the security of drones. The network remote ID, which is being developed and tested and will be applied in the distant future, can be used additionally to ensure the safety and the efficiency of the national airspace. In this paper, we analyze the trends on regulation and standardization activities for drone remote ID primarily in the United State and Europe.

• Journal of Advanced Navigation Technology
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• v.20 no.6
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• pp.604-611
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• 2016

Drone, which refers to unmanned aerial vehicles (UAV), industries are improving rapidly and exceeding existing level of remote controlled aircraft models. Also, they are applying automation and cloud network technology. Recently, the ability of drones can bring serious threats to public safety such as explosives and unmanned aircraft carrying hazardous materials. On the purpose of reducing these kinds of threats, it is necessary to detect these illegal drones, using acoustic feature extraction and classifying technology. In this paper, we introduce sound feature vector extraction method by harmonic feature extraction method (HLA). Feature vector extraction method based on HLA make it possible to distinguish drone sound, extracting features of sound data. In order to assess the performance of distinguishing sounds which exists in outdoor environment, we analyzed various sounds of things and real drones, and classified sounds of drone and others as simulation of each sound source.

• The Journal of the Korea Contents Association
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• v.21 no.11
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• pp.20-29
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• 2021

This study aims to explore the issue of drones and crime in newspaper articles. BIG KINDS, an online news archive of the Korea Press Foundation, collected 1,213 newspaper articles that met the terms of "drone" and "crime" in 11 central and 28 regional comprehensive newspapers between January 1, 1990 and May 1, 2021. Among them, we perform keyword frequency, centrality analysis, network structure construction, CONCOR analysis, and density matrix analysis on 117 key keywords. According to the analysis, the main issues were classified into eight, and the report analysis on drones and crimes in newspaper articles showed that the government's policy-making and social problems on protecting people's privacy, preventing illegal filming, securing navigation safety, social security and resolution. This study attempts to expand the field of humanities and social studies related to drones and crime, and specifically suggests the current status and counterplan against drone-related crimes as policy implications and media implications.