• Korean Security Journal
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• no.60
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• pp.9-31
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• 2019

Due to the development of technology and popularization of drone, the so-called "dirty drone" that exploits drones for crimes and terrorism has become a social problem, and it is time to seriously consider the "revenge of drones." Indeed, the cases of threats posed by drones are expanding not only to threats to ground facilities, but also to aviation safety threats, more recently to large-scale events, demonstrations and crimes targeting specific personnel, and terrorism. This research clearly defined the concept of anti-drone when it emerged as a new type of social safety threat as it was abused in crime and terrorism, while response to it was not enough yet. Through this process, it was intended to present an effective anti-drones system. We analyzed the major controversial elements of anti-drone, and defined them as "comprehensive response activities at the legal, institutional and technical levels performed by law enforcement agencies, related technology and industrial entities in a way that prevents, detects, and blocks acts that violate public well-being and order, such as crimes and terrorism caused by the drones." To effectively respond to dirty drones, the authority of law enforcement agencies and the enactment of relevant laws were proposed. In the future, a comprehensive and systematic follow-up study of the anti system should be conducted.

• 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.

• 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.

• 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.9 no.4
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• pp.239-243
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• 2023

Due to recent small unmanned aircraft threats by North Korea and unsuccessful reponses, severe concerns about future national security have been being increasingly surged. Especially it is notable and unaccpetable to see that North Korea's small drones flying over capical areas over 7 hours were not efficiently detected and identified even though South Korea already recognized the threats since early 2010s. Meanwhile a US military troop operating THAAD system on Seung-Joo, South Korea successfully shot down unidentified small drone on Jan 2023. The threats caused by small unmanned aircraft is worrisome not only to South Korea, but also to international nations. This paper surveyed US DoD Strategy for countering small aircraft systems and suggest how to improve our current anti-dron systems so that small unmanned aircraft threats will be dynamically diminished or neutralized as fast as we can.