• Convergence Security Journal
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• v.23 no.2
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• pp.75-84
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• 2023

Recently, as the use of drones for military purposes is increasing, such as the Russia-Ukraine War, North Korea's reconnaissance against South Korea, and Army Tiger 4.0's dronebot system, anti-drone technology is developing a lot in each country. However, traditional anti-drone technologies in the form of using conventional weapons or electronic warfare weapons have the disadvantage of being expensive, so anti-drone technologies that can be performed at low cost are currently being newly researched. Therfore, in response to these anti-drone technologies, many efforts are being made to increase the survivability of our allies. In line with this trend, this study assumes a virtual anti-drone system applied with cyber domain and electronic warfare domain technologies that can be performed at low cost, rather than a technique using expensive conventional weapons or electronic warfare weapons among various anti-drone technologies. In response to this, we would like to present a plan to increase the survivability of friendly drones.

• KIPS Transactions on Computer and Communication Systems
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• v.12 no.12
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• pp.347-356
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• 2023

In the recent war between Ukraine and Russia, low-orbit satellite communication played a major role, and Korea laid a foothold for low-orbit satellite communication services with the successful launch of Nuri in May 2023 and entered a full-scale civilian space age competition. In order to create an ecosystem for ICT digital transformation and data convergence in the field of low-orbit satellite communication, this paper conducts user sentiment analysis by importing posts from Reddit, one of the world's SNS, and extracts need-related sentences through need mining to identify user needs, performs topic modeling to classify topics, and prepares an action plan according to these topics. We hope that this study will be used as a policy resource for the development and innovation of new business models in the field of low-orbit satellite communication, bridging the digital information gap and solving social problems, contributing to sustainable digital transformation and enhancing soft power.

• 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.

• Proceedings of the Korean Society of Crop Science Conference
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• 2022.10a
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• pp.6-6
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• 2022

Prolonged Russia-Ukraine war, and unstable situation of supply and demand of global crops including the COVID-19 pandemic have raised awareness regarding food crisis, and in addition to this situation, export restriction measures imposed by some countries have accelerated the rise in the prices. Since the Republic of Korea depends annual crop consumption (21.32 million tons) mostly on the imports (food self-sufficiency rate in 2020 was 45.8%, crop self-sufficiency rate was 20.2%), our main task is to stably secure food. Now we need to put focus on building capacity to secure stable food supply, and actively manage and respond to risks. To overcome this condition, the Korean government set robust food sovereignty as its policy task, and has been focusing on the policy capacity by providing financial and policy support in parallel. We need to implement mid- to long-term measures to strengthen food security as well as to ensure domestic price stability. While increasing the domestic capacity to supply food in the mid- to long-term perspective, we are implementing projects to bring in crops which are inevitable to be imported by private companies. Specifically, we are making efforts to expand infrastructure for the public reserve and domestic production of wheat and beans which have low self-sufficiency rate, and to secure food sovereignty by providing support to secure global crop supply chain to private companies. The Ministry of Agriculture, Food and Rural Affairs plans to set a target for food self-sufficiency rate and prepare a policy to strengthen mid- to long-term food security by establishing a task force to strengthen mid- to long-term food security in the Ministry. Especially, although wheat is the second staple food, domestic wheat production and the foundation for the industry is poor. Compared to the wheat imports, domestic production of wheat is 30 thousand tons (self-sufficiency rate of 1%), leading to a vulnerable status against internal and external shocks. Through the establishment of the Wheat Industry Promotion Act (Feb. 2020) and the First Master Plan for Wheat Industry Promotion (Nov. 2020), the Korean government has developed a policy basis, and has been providing financial support in overall across the production, distribution and consumption process. In addition, the government established a production complex for Korean wheat and beans in order to supply affordable government-supplied commodities, provide education and consulting services, and create a high-quality stable production system, including facilities and equipment. We are also continuing to increase the public reserve for wheat and beans with the purpose of stable supply and demand as well as food security. The Korean government will establish and implement mid- to long-term measures to strengthen the foundation for domestic production across production, distribution and consumption process, and to stably secure global supply chain including through diversified import channels.

• Convergence Security Journal
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• v.24 no.1
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• pp.83-93
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• 2024

As the paradigm of the global defense industry changes due to the Russia-Ukraine war, Korea's cutting-edge conventional weapons systems are attracting attention from around the world. In 2023, Korea ranked 9th in world arms exports, and is pursuing innovation in the defense industry with the goal of becoming the world's 4th largest defense exporter by 2027. The defense industry is a national strategic industry that requires a long period of time and a large budget, and defense technology is a core technology that has a great impact on the advancement of defense and the national economy. Over the past five years, Korea has suffered economic losses worth approximately 25 trillion won due to the outflow of cutting-edge technology overseas, and there is an urgent need for institutional improvement to prevent the outflow of defense technology. Therefore, this study presented Korea's defense industry development strategy by examining the laws and systems that the three key players in the Indo-Pacific region, the United States, China, and Japan, are promoting to protect defense industry technology. To foster the defense industry as a promising future industry in Korea, it is necessary to respond to the fast-evolving pace of development of advanced science and technology in connection with securing technological sovereignty and protect defense technology, which is a key technology of the country, by improving related laws and systems.

• 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.

• 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.