• Title/Summary/Keyword: Russia-Ukraine War

Search Result 47, Processing Time 0.019 seconds

The Development of Artificial Intelligence-Enabled Combat Swarm Drones in the Future Intelligent Battlefield (지능화 전장에서 인공지능 기반 공격용 군집드론 운용 방안)

  • Hee Chae;Kyung Suk Lee;Jung-Ho Eom
    • Convergence Security Journal
    • /
    • v.23 no.3
    • /
    • pp.65-71
    • /
    • 2023
  • The importance of combat drones has been highlighted through the recent outbreak of the Russia-Ukraine war. The combat drones play a significant role as a a game changer that alters the conventional wisdom of traditional warfare. Many pundits expect the role of combat swarm drones would be more crucial in the future warfare. In this regard, this paper aims to analyze the development of artificial intelligence-enabled combat swarm drones. To transform the human-operated swarm drones into fully autonomous weaponry system our suggestions are as follows. Developments of (1) AI algorithms for optimized swarm drone operations, (2) decentralized command and control system, (3) inter-drones' mission analysis and allocation technology, (4) enhanced drone communication security and (5) set up of ethical guideline for the autonomous system. Specifically, we suggest the development of AI algorithms for drone collision avoidance and moving target attacks. Also, in order to adjust rapidly changing military environment, decentralized command and control system and mission analysis allocation technology are necessary. Lastly, cutting-edging secure communication technology and concrete ethical guidelines are essential for future AI-enabled combat swarm drones.

SNS Sentiment Analysis and Needmining for ICT Digital Transformation and Data Convergence Ecosystem Establishment in LEO Satellite Communications (저궤도 위성통신 분야의 ICT 디지털 전환과 데이터 융합 생태계 조성을 위한 SNS 감성분석과 니드마이닝)

  • Byeong-Hee Lee;Tae-Hyun Kim
    • KIPS Transactions on Computer and Communication Systems
    • /
    • v.12 no.12
    • /
    • pp.347-356
    • /
    • 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.

A Study on the Formation and Development of Collective Security System and the Possibility of Security System Shift in East Asia (집단안보체제의 형성 및 발전요인과 동아시아 안보체제의 변화 가능성 연구)

  • Oh, Dongkeon
    • Maritime Security
    • /
    • v.7 no.1
    • /
    • pp.1-29
    • /
    • 2023
  • For the last 70 years, the U.S.-led bilateral security system, or "Hub-and-Spokes" system, has been applied to Northeast Asia, and the system has been successfully settled in terms of stability and economic achievements of the region. Given the increasing complexity of the security environment of East Asia, it is plausible to consider the possibility of a security system shift from bilateral alliances to collective security. In order to analyze the driver of collective security system, this study developed three factors of formation and development of collective security system - main threat, intensity of the threat, and confidence among countries in the system - by reviewing international political theories related to security cooperation. Comparing the formation, development, and achievements of NATO and SEATO, the study figures out that the existence of the main threat, the high intensity of the threat, and the strong confidence among countries in the security system are the primary drivers for a successful collective security system. Based on the result, the study also analyzed the possibility of a security system shift in East Asia. Considering contemporary international conflicts such as U.S.-China strategic competition, Russia-Ukraine War, and growing threats posed by North Korean nuclear and missiles, the study anticipates that the necessity of a collective security system that will replace the current security system of the region would arise. Still, although some issues between countries should be overcome, the growing intensity of the threats will promote cooperation among countries by improving their confidence.

  • PDF

Mid- to Long-term Food Policy Direction

  • Bo-ram Kim
    • Proceedings of the Korean Society of Crop Science Conference
    • /
    • 2022.10a
    • /
    • pp.6-6
    • /
    • 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.

  • PDF

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
    • /
    • v.24 no.6
    • /
    • pp.119-125
    • /
    • 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.

South Korea's Defense Industry Development Strategy - Focusing on Technology Protection Policy - (한국의 방위산업 발전전략 연구 - 기술보호정책을 중심으로 -)

  • Geum-Ryul Kim
    • Convergence Security Journal
    • /
    • v.24 no.1
    • /
    • pp.83-93
    • /
    • 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.

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
    • /
    • v.25 no.1
    • /
    • pp.147-155
    • /
    • 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.