• 디지털산업정보학회논문지
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• 제16권3호
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• pp.37-47
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• 2020

The In the 4^th industrial revolution, cyber space will evolve into hyper-connectivity, super-convergence, and super-intelligence due to the development of advanced information and communication technologies, which will connect the nation's core infrastructure into a single network. As applying the 4^th industrial revolution technology to the cyber attack technique, it is evolving in an intelligent and sophisticate method. In order to response intelligent cyber attacks, it is difficult to guarantee self-defense in cyberspace by policy-oriented, preplanned-centric and hierarchical cyber response strategies. Therefore, this research aims to propose a situation-flexible & action-oriented cyber response mechanism that can respond flexibly by selecting the most optimal smart security solution according to changes in the cyber attack steps. The proposed cyber response mechanism operates the smart security solutions according to the action-oriented detailed strategies. In addition, artificial intelligence-based decision-making systems are used to select the smart security technology with the best responsiveness.

• 한국IT서비스학회지
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• 제19권1호
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• pp.55-69
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• 2020

The Internet cyber space has become more important as it enters the intelligent information society of the 4th Industrial Revolution beyond the information age through the development of ICT, the expansion of personalized services through mobile and SNS, the development of IoT, big data, and artificial intelligence. The Internet has formed a new paradigm in human civilization, but it has focused only on the efficiency of its functions. Therefore, various side effects such as information divide, cyber terrorism, cyber violence, hacking, and personal information leakage are emerging. In this situation, facing the intelligent information society can lead to an uncontrollable chaos. Therefore, this study classifies the cyber dysfunction of intelligent information society and analyzes social cognition, suggests cyber dysfunction standard of intelligent information society, and examines the seriousness of dysfunction, and suggests technical research directions for future technologies and services. The dysfunctional classification of the intelligent information society was classified into five areas of cyber crime and terrorism, infringement of rights, intelligent information usage culture, intelligent information reliability, and social problems by FGI methodology. Based on the classification, the social perception of current and future cyber dysfunction severity was surveyed and it showed female is more sensitive than male about the dysfunction. A GAP analysis confirmed social awareness that the future society would be more serious about AI and cyber crime

• 전자통신동향분석
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• 제37권4호
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• pp.36-45
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• 2022

As the interest in achieving an intelligent society grows with the fourth industrial revolution's development, information and communications technologies technologies like artificial intelligence (AI), Internet of Things, virtual reality, information security, and blockchain technology are being actively employed in different fields for achieving an intelligent society. With these modifications, the information security paradigm in industrial and public institutions, like personal sensitive data, is quickly changing, and it is exposed to different cyber threats and breaches. Furthermore, as the number of cyber threats and breaches grows, so does the need for rapid detection and response. This demand can be satisfied by establishing cyber training programs and fostering experts that can improve cyber security abilities. In this study, we explored the domestic and international technology trends in cyber security education and training facilities for developing experts in information security. Additionally, the AI technology application in the cyber training ground, which can be established to respond to and deter cyber threats that are becoming more intelligent, was examined.

• 정보보호학회논문지
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• 제34권3호
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• pp.417-430
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• 2024

현대 기술의 발전과 인터넷의 보급이 확대되면서 사이버 위협도 증가하고 있다. 이러한 위협에 효과적으로 대응하기 위해 CTI(Cyber Threat Intelligence)의 활용에 대한 중요성이 커지고 있다. 이러한 CTI는 과거의 사이버 위협 데이터에 기반하여 새로운 위협에 대한 정보를 제공하지만, 데이터의 복잡성과 공격 패턴의 변화 등 다양한 요인으로 인해 분석의 어려움을 겪고 있다. 이러한 문제를 해결하기 위해, 본 연구는 다차원적 관계를 포괄적으로 나타낼 수 있는 그래프 데이터의 활용하고자 한다. 구체적으로는 악성코드 데이터를 대상으로 이기종 그래프를 구축하고, metapath2vec의 노드 임베딩 방법을 활용하여 사이버 공격 그룹을 더 효과적으로 식별하고자 한다. 결론적으로 토폴로지 정보를 기존 악성코드 데이터에 추가로 활용하였을 때 탐지성능에 미치는 영향을 분석함으로써, 사이버 보안 분야에 새로운 실질적 적용 가능성을 제시하며, CTI 분석의 한계를 극복하는 데 기여하고자 한다.

• 융합보안논문지
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• 제19권2호
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• pp.113-121
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• 2019

인터넷과 정보통신기술의 발달로 매일 대량의 공개출처정보(Open Source Intelligence, OSINT)가 발생하고 있다. 최근에는 전체 정보의 95%가 공개출처정보에서 나온다고 할 정도로 공개출처의 활용도가 높아졌다. 이러한 공개출처정보는 잘 정제되어 활용된다면 매우 효과적인 고가치 정보로 활용될 수 있다. 일례로 ISVG나 START 프로그램은 테러나 범죄와 관련된 공개출처정보를 수집해 테러리스트 색출이나 범죄예방에 활용해 많은 효과를 거두고 있다. 하지만 사이버공격과 관련된 공개출처정보는 기존의 테러나 범죄와 관련된 공개출처정보와는 달리 공격자, 공격목적, 피해범위 등을 명확히 식별하기 어렵고, 자료 자체가 상대적으로 정형화되지 않았다는 특징이 있다. 이러한 이유 때문에 공개출처정보를 활용해 사이버공격에 대한 데이터베이스(Database, DB)를 구축하고 활용하기 위해서는 기존의 방식과는 전혀 다른 새로운 접근방식이 요구된다. 따라서 본 논문에서는 공개출처정보를 활용해 사이버공격 데이터베이스를 구축하는 방법론을 제시하고 향후 활용방안에 대해 토의하고자 한다.

• International Journal of Computer Science & Network Security
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• 제24권4호
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• pp.179-191
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• 2024

With the advancement of modern technology, cyber-attacks are always rising. Specialized defense systems are needed to protect organizations against these threats. Malicious behavior in the network is discovered using security tools like intrusion detection systems (IDS), firewall, antimalware systems, security information and event management (SIEM). It aids in defending businesses from attacks. Delivering advance threat feeds for precise attack detection in intrusion detection systems is the role of cyber-threat intelligence (CTI) in the study is being presented. In this proposed work CTI feeds are utilized in the detection of assaults accurately in intrusion detection system. The ultimate objective is to identify the attacker behind the attack. Several data sets had been analyzed for attack detection. With the proposed study the ability to identify network attacks has improved by using machine learning algorithms. The proposed model provides 98% accuracy, 97% precision, and 96% recall respectively.

• 한국정보통신학회:학술대회논문집
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• 한국정보통신학회 2016년도 춘계학술대회
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• pp.235-238
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• 2016

With the vision of Internet of Things (IoT), physical world itself is becoming a connected information system on the Internet and cyber world is computing as a physical act to sense and respond to real-world events collaboratively. The systems that tightly interlink the cyber and physical worlds are often referred to as Smart Systems or Cyber-Physical Systems. Smart IoT Clouds aim to provide a cyber-physical infrastructure for utility (pay-as-you-go) computing to easily and rapidly build, modify and provision auto-scale smart systems that continuously monitor and collect data about real-world events and automatically control their environment. Developing specifications for service interoperability is critical to enable to achieve this vision. In this paper, we bring an issue to extend Open Cloud Computing Interface for uniform, interoperable interfaces for Smart IoT Cloud Services to access services and build a smart system through orchestrating the cloud services.

• 정보보호학회논문지
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• 제26권1호
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• pp.237-246
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• 2016

최근 다양한 유형의 사이버공격이 발생하였고 공격의 전략적 목적 및 전술적 수단도 진화하고 있다. 특히 한수원 사이버공격은 해킹과 심리전을 결합시킨 핵티비즘형으로 공격자는 국민을 사이버전에 참여시키려 하였고 기밀정보 공개 및 원전중단 협박으로 정부의 의사결정을 지속적으로 강요하였다. 따라서 본 논문에서는 사이버공격시 효과적 전략결정을 도출하기 위하여 개방형 정책결정모델에 공격지성을 포함시키고 게임이론을 활용하여 연구한다.

• International Journal of Advanced Culture Technology
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• 제8권3호
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• pp.54-60
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• 2020

Online cybercrime has various causes. The criminal guilty language, Criminal lingo is active in the shaded area with the bilateral aspect of the word on cyber. It has been continuously producing massive risk factors in cyberspace. Criminals are shared and disseminated online. It has been linked with fake news and aids to suicide that has recently become an issue. Thus the criminal lingo has become a real danger factor on cyber interface. Recently, Criminal lingo is shared and distributed as cyber hazard information. It is transformed that damaging to the youth and ordinary people through the internet and social networks. In order to take action, it is necessary to construct an expert system based on AI to implement a smart management architecture with block-chain technology. In this paper, we study technically a new smart management architecture which uses artificial intelligence based decision algorithm and block-chain tracking technology to prevent the spread of criminal lingo factors in the evolving cyber world. In addition, through the off-line regular patrol program of police units, we proposed the conversion of online regular patrol program for "cyber harem area".

• International Journal of Computer Science & Network Security
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• 제22권2호
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• pp.153-158
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• 2022

The Internet of Things (IoT) has gotten a lot of research attention in recent years. IoT is seen as the internet's future. IoT will play a critical role in the future, transforming our lifestyles, standards, and business methods. In the following years, the use of IoT in various applications is likely to rise. In the world of information technology, cyber security is critical. In today's world, protecting data has become one of the most difficult tasks. Different type of emerging cyber threats such as malicious, network based and abuse of network have been identified in the IoT. These can be done by virus, Phishing, Spam and insider abuse. This paper focuses on emerging threats, various challenges and vulnerabilities which are faced by the cyber security in the field of IoT and its applications. It focuses on the methods, ethics, and trends that are reshaping the cyber security landscape. This paper also focuses on an attempt to classify various types of threats, by analyzing and characterizing the intruders and attacks facing towards the IoT devices and its services.