• Title/Summary/Keyword: Defense AI

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Cyber Threats Analysis of AI Voice Recognition-based Services with Automatic Speaker Verification (화자식별 기반의 AI 음성인식 서비스에 대한 사이버 위협 분석)

  • Hong, Chunho;Cho, Youngho
    • Journal of Internet Computing and Services
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    • v.22 no.6
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    • pp.33-40
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    • 2021
  • Automatic Speech Recognition(ASR) is a technology that analyzes human speech sound into speech signals and then automatically converts them into character strings that can be understandable by human. Speech recognition technology has evolved from the basic level of recognizing a single word to the advanced level of recognizing sentences consisting of multiple words. In real-time voice conversation, the high recognition rate improves the convenience of natural information delivery and expands the scope of voice-based applications. On the other hand, with the active application of speech recognition technology, concerns about related cyber attacks and threats are also increasing. According to the existing studies, researches on the technology development itself, such as the design of the Automatic Speaker Verification(ASV) technique and improvement of accuracy, are being actively conducted. However, there are not many analysis studies of attacks and threats in depth and variety. In this study, we propose a cyber attack model that bypasses voice authentication by simply manipulating voice frequency and voice speed for AI voice recognition service equipped with automated identification technology and analyze cyber threats by conducting extensive experiments on the automated identification system of commercial smartphones. Through this, we intend to inform the seriousness of the related cyber threats and raise interests in research on effective countermeasures.

A study on improvement of policy of artificial intelligence for national defense considering the US third offset strategy (미국의 제3차 상쇄전략을 고려한 국방 인공지능 정책 발전방안)

  • Se Hoon Lee;Seunghoon Lee
    • Industry Promotion Research
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    • v.8 no.1
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    • pp.35-45
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    • 2023
  • This paper addressed the analysis of the trend and direction of the US defense strategy based on their third offset strategy and presented the practical policy implication of ensuring the security of South Korea appropriately in the future national defense environment. The countermeasures for the development ability of advanced weapon systems and secure core technologies for Korea were presented in consideration of the US third offset strategy for the future national defense environment. First, to carry out the innovation of national defense in Korea based on artificial intelligence(AI), the long-term basis strategy for the operation of the unmanned robot and autonomous weapon system should be suggested. Second, the platform for AI has to be developed to obtain the development of algorithms and computing abilities for securing the collection/storage/management of national defense data. Lastly, advanced components and core technologies are identified, which the Korean government can join to develop with the US on a basis of the Korea-US alliance, and the technical cooperation with the US should be stronger.

Designing Effective Summary Models for Defense Articles with AI and Evaluating Performance (AI를 이용한 국방 기사의 효과적인 요약 모델 설계 및 성능 평가)

  • Yerin Nam;YunYoung Choi;JongGeun Choi;HyukJin Kwone
    • Journal of the Korean Society of Systems Engineering
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    • v.20 no.1
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    • pp.64-75
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    • 2024
  • With the development of the Internet, the information in our lives has become fast and diverse. Especially in the field of defense, articles and information are pouring in from various sources every day, and fast information selection, understanding, and decision-making are required in the ever-changing situation. It is very cumbersome to go from platform to platform and read articles one by one to get the information you need. To solve this problem, this research aims to save time and provide quick access to the latest information by allowing you to quickly grasp key information from summarized content without having to read the entire article. This can improve efficiency by allowing defense professionals to focus more on important tasks rather than extensive information search and analysis.

A Study on the Improvement of Weapon System T&E performance System (국방 무기체계 시험평가 수행체계 개선방안 연구)

  • BaekJung Kim;Sukjae Jeong
    • Journal of The Korean Institute of Defense Technology
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    • v.5 no.2
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    • pp.1-9
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    • 2023
  • The purpose of this study is to derive the need to improve the test and evaluation(T&E) performance system of the weapon systems to which advanced science and technology is applied, evaluate priorities, and present development plans. T&E of Al-based weapon systems through a literature research and case analysis on changes in the T&E environment for weapon system, 11 detailed evaluation items were derived from the in terms of the T&E system, structure, and technology. Al-based weapon system test evaluation should be performed in parallel with data-based performance evaluation and actual T&E, and performance measurement using a separate T&E data set is required for AI models performance evaluation. As a result of analyzing the importance of T&E through AHP analysis, the order of T&E system-technology-structure was evaluated, and the priority of detailed evaluation items was evaluated in the order of T&E result judgment-T&E organization and expert training-scientific T&E. For evaluation items with high priority, measures to improve the T&E performance system were presented.

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A Study on AI Vaccine for the Defense against Adversarial Attack (적대적 공격의 방어를 위한 AI 백신 연구)

  • Song, Chae-Won;Oh, Seung-A;Jeong, Da-Yae;Lim, Yuri;Rho, Eun-Ji;Lee, Gyu-Young
    • Proceedings of the Korea Information Processing Society Conference
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    • 2021.11a
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    • pp.1132-1135
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    • 2021
  • 본 논문에서는 머신러닝 시스템에 심각한 오류를 발생시킬 수 있는 적대적 샘플을 제작하고, 이를 이용한 적대적 공격을 효과적으로 예방하고 방어할 수 있는 Adversarial Training 기반의 AI 백신을 개발하였으며, 본 논문이 제안하는 AI 백신이 적대적 샘플을 올바르게 인식하고 AI 공격 성공율을 현저하게 낮추는 등 강인성을 확보한 것을 실험을 통해 입증하였다. 아울러 스마트폰을 통해 수행결과를 확인할 수 있는 어플리케이션을 구현하여, 교육 및 시연 등을 통해 적대적 AI 공격에 대한 심각성을 인식하고 해당 방어과정을 명확히 이해할 수 있도록 하였다.

Improving the Security Policy Based on Data Value for Defense Innovation with Science and Technology (과학기술 중심 국방혁신을 위한 데이터 가치 기반 보안정책 발전 방향)

  • Heungsoon Park
    • Convergence Security Journal
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    • v.23 no.1
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    • pp.109-115
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    • 2023
  • The future outlook for defense faces various and challenging environments such as the acceleration of uncertainty in the global security landscape and limitations in domestic social and economic conditions. In response, the Ministry of National Defense seeks to address the problems and threats through defense innovation based on scientific and technological advancements such as artificial intelligence, drones, and robots. To introduce advanced AI-based technology, it is essential to integrate and utilize data on IT environments such as cloud and 5G. However, existing traditional security policies face difficulties in data sharing and utilization due to mainly system-oriented security policies and uniform security measures. This study proposes a paradigm shift to a data value-based security policy based on theoretical background on data valuation and life-cycle management. Through this, it is expected to facilitate the implementation of scientific and technological innovations for national defense based on data-based task activation and new technology introduction.

Efficiency Analysis of Integrated Defense System Using Artificial Intelligence (인공지능을 활용한 통합방위체계의 효율성 분석)

  • Yoo Byung Duk;Shin Jin
    • Convergence Security Journal
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    • v.23 no.1
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    • pp.147-159
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    • 2023
  • Recently, Chat GPT artificial intelligence (AI) is of keen interest to all governments, companies, and military sectors around the world. In the existing era of literacy AI, it has entered an era in which communication with humans is possible with generative AI that creates words, writings, and pictures. Due to the complexity of the current laws and ordinances issued during the recent national crisis in Korea and the ambiguity of the timing of application of laws and ordinances, the golden time of situational measures was often missed. For these reasons, it was not able to respond properly to every major disaster and military conflict with North Korea. Therefore, the purpose of this study was to revise the National Crisis Management Basic Act, which can act as a national tower in the event of a national crisis, and to promote artificial intelligence governance by linking artificial intelligence technology with the civil, government, military, and police.

A Study of AI model extraction attack and defense techniques (AI 모델 탈취 공격 및 방어 기법들에 관한 연구)

  • Jun, So-Hee;Lee, Young-Han;Kim, Hyun-Jun;Paek, Yun-Heung
    • Proceedings of the Korea Information Processing Society Conference
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    • 2021.05a
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    • pp.382-384
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    • 2021
  • AI (Artificial Intelligence)기술이 상용화되면서 최근 기업들은 AI 모델의 기능을 서비스화하여 제공하고 있다. 하지만 최근 이러한 서비스를 이용하여 기업이 자본을 투자해 학습시킨 AI 모델을 탈취하는 공격이 등장하여 위협이 되고 있다. 본 논문은 최근 연구되고 있는 이러한 모델 탈취 공격들에 대해 공격자의 정보를 기준으로 분류하여 서술한다. 또한 본 논문에서는 모델 탈취 공격에 대응하기 위해 다양한 관점에서 시도되는 방어 기법들에 대해 서술한다.

Development Trends of Defense Science and Technology based on the 4th Industrial Revolution (제4차 산업혁명 기반의 국방과학기술 개발 동향)

  • Jeong, Y.H.;Kim, S.N.;Park, H.S.
    • Electronics and Telecommunications Trends
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    • v.35 no.6
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    • pp.56-67
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    • 2020
  • The core technologies of the 4th Industrial Revolution, such as artificial intelligence, the Internet of Things, the cloud, big data, and mobile networks, are inspiring major changes and innovations in the defense sector worldwide. The United States, China, and Russia are pursuing defense research and development strategies that seek to maintain their leadership on the battlefield in the future through the overwhelming superiority of defense science technology. Defense science and technology concentrate on the development of challenging new disruptive technologies to efficiently respond to future battlefield environments, where the immediate process of determining the outcome of a war will lead to combat power. In this paper, we first look at the development strategies of the 4th Industrial Revolution in major countries and describe the latest trends in defense science and technology accordingly.

The AI Promotion Strategy of Korea Defense for the AI Expansion in Defense Domain (국방분야 인공지능 저변화를 위한 대한민국 국방 인공지능 추진전략)

  • Lee, Seung-Mok;Kim, Young-Gon;An, Kyung-Soo
    • Journal of Software Assessment and Valuation
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    • v.17 no.2
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    • pp.59-73
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    • 2021
  • Recently, artificial intelligence has spread rapidly and popularized and expanded to the voice recognition personal service sector, and major countries have established artificial intelligence promotion strategies, but in the case of South Korea's defense domain, its influence is low with a geopolitical location with North Korea. This paper presents a total of six strategies for promoting South Korea's defense artificial intelligence, including establishing roadmaps, securing manpower, installing the artificial intelligence base, and strengthening cooperation among stakeholders in order to increase the impact of South Korea's defense artificial intelligence and successfully promote artificial intelligence. These suggestions are expected to establish the foundation for expanding the base of artificial intelligence.