• Journal of the Korea Institute of Information and Communication Engineering
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• v.19 no.5
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• pp.1110-1116
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• 2015

This paper analyzes global research trend on information security. All technical fields based on information requires security so that discovering technologies (technical terms) which are developing newly or dramatically is able to guide the future direction of the field of information security. In this paper, the ultimate of this research is to figure out the technologies related to information security and to forecast the future through understanding their trends. The paper, as a beginning for the analysis on macroscopic viewpoint, contains measurement of yearly relatedness between technical terms from 2001 to 2014 by using temporal co-occurrence and interpretation of its meaning through comparing the relatedness with trends of top-related technical terms. And to conclude, we could find that Android platform, Big data, Internet of things, Mobile technologies, and Cloud computing are emerging technologies on information security.

• Convergence Security Journal
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• v.16 no.1
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• pp.59-68
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• 2016

Recently, many domestic and foreign industries is increasing gradually in the importance of security such as the emergence of a Convergence Information Technology(internet of things, cloud computing service, big data etc). Among these techniques, the industrial security market is expected to grow gradually and the evolution of security technologies, as well as vulnerabilities are also expected to increase. Therefore, an increase in physical vulnerability factors it is no exaggeration to standards that are determining the security of industrial security. In this paper will be analyzed to the physical security technology and case study, physical vulnerability factor. Thereby this is expected to be utilized as a basis for the countermeasure of physical corresponding infringement and attack in a future.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2012.10a
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• pp.776-779
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• 2012

Recently one of the hot topics of IT field is big data. The security's meaning changed a lot, so security tools which were used to protect the limit area traditionally, now don't have any effectiveness. In the age of Cloud Computing, big data will do the best work. This paper discusses the technology related to big data and the intelligent security system utilizing big data.

• Convergence Security Journal
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• v.15 no.7
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• pp.47-53
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• 2015

Recently, the Internet of Things is an important technology with a Cloud computing services and a Big data in the IT fields. and The Internet of Things is widely used in various industries. This trend may be referred to as the emergence of significant based technologies for realizing a ubiquitous times. But the security problems of Internet of things are expected to increase with being realized in a variety of industries. and it will be have to provide a corresponding technology to the security threat for this. Therefore, this paper will be analyzed to the security threats of the Internet of Things by the cases. Thereby this is expected to be utilized as a basis for the countermeasure of Internet of Things in a future.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2021.05a
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• pp.638-640
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• 2021

The network separation environment is a network security design system that separates the internal business network from the external Internet network. It separates the internal business network from the external Internet by separating it into a business network that is not connected to the network to which the Internet is connected. The network is separated, and it is a relatively secure network structure compared to Danilman in terms of security. However, there are frequent cases of infecting internal networks by using vulnerabilities in internal systems, network devices, and security devices. In this paper, we analyze the vulnerability of IT security threats in such a network isolation environment and provide technical measures for effective security monitoring.

• The Journal of the Korea Contents Association
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• v.16 no.5
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• pp.1-12
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• 2016

Internet of Things (IoTs) technologies have been computerized information generated from a variety of objects and humans, and have been applied to various fields by connecting via the Internet. In order to compensate for the marginal characteristics of IoT smart devices, such as low-power, limited processing and capacities, combining IoT and cloud computing technologies is now established itself as one of the paradigms. In this paper, we look at the definition, features and services of IoT and cloud computing technology, and we investigate and analyze the conversing needs of IoT and could computing, existing conversion paradigms, convergence cases, and platforms. In results, there are challenges to be solved, even though the cloud technologies complement a number of restrictions of IoT and offer various advantages such as scalability, interoperability, reliability, efficiency, availability, security, ease of access, ease of use, and reduced cost of deployment. We analyze the new research issues of convergence paradigm, and finally suggest a research challenges for convergence.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.34 no.2
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• pp.289-299
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• 2024

Blockchains are not efficient for real-time processing because the growing number of transactions and users delays many computations and network communications. This study proposes a cloud proxy server, so that legitimate users can use blockchain as well as reduce network latency. To proceed with a blockchain transaction, the blockchain copy server verifies all transaction-related data, but the cloud proxy server verifies legitimate users with a simple zero-knowledge proof algorithm, enabling efficient blockchain real-time processing. The cloud proxy server can support blockchain anonymity, security, and scalability that can verify legitimate users with the proposed zero-knowledge proof by receiving the registered key pair of the blockchain user. In the proposed research analysis, blockchain-based cloud proxy server reduces network latency compared to previous studies and key processing on cloud proxy servers reduces the cost of key computation compared to previous studies.

• Convergence Security Journal
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• v.22 no.2
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• pp.51-57
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• 2022

Recently, the concept of zero trust has been introduced, and it is necessary to strengthen the security elements required for the next-generation security control system. Also, the security paradigm in the era of the 4th industrial revolution is changing. Cloud computing and the cybersecurity problems caused by the dramatic changes in the work environment due to the corona 19 virus continue to occur. And at the same time, new cyber attack techniques are becoming more intelligent and advanced, so a future security control system is needed to strengthen security. Based on the core concept of doubting and trusting everything, Zero Trust Security increases security by monitoring all communications and allowing strict authentication and minimal access rights for access requesters. In this paper, we propose a security enhancement plan in the security control field through a zero trust security model that can understand the problems of the existing security control system and solve them.

• Journal of the Institute of Convergence Signal Processing
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• v.12 no.4
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• pp.298-302
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• 2011

In this paper, we propose an efficient encryption algorithm for ensuring data privacy and security for cloud computing in mobile environments. As part of the evaluation of the proposed algorithm, we have implemented the algorithm in a PC environment and compared with the well-known encryption algorithm of the Data Encryption Standard (DES). The conventional DES algorithm is hard to maintain privacy, due to the fact that its initial and final permutation are known to the network To prevent this critical weakness, a triple DES algorithm has been reported, but it has a disadvantage of long encryption time. In this study, we propose random interleaving algorithm that uses the permutation table for improving privacy further. The proposed algorithm is found to run faster than the triple DES algorithm and also offers improved security in a wireless communication system.

• Information and Communications Magazine
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• v.32 no.11
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• pp.12-20
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• 2015

최근 의학 기술이 눈부시게 발전함에 따라 사람들은 수명이 연장되고 삶의 질 향상에 많은 관심을 가지게 되었다. 더욱이 혁신적인 디지털 기술 발전과 함께 다양한 웨어러블 기기와 수많은 헬스케어 어플리케이션이 출시되고 있으며, 이들은 어떻게 하면 개인의 성향이나 체질에 잘 맞는 맞춤형 (개인화) 서비스를 제공할 수 있을 것인가에 관심을 두고 진화하고 있다. 따라서 IoT 환경의 일상생활에서 입력되는 센서 데이터의 수집, 처리, 가공 기술, 일상 행위 및 라이프 스타일 인지, 지식 획득 및 관리 기술, 개인화 추천서비스 제공, 프라이버시 및 보안을 통합적으로 지원할 수 있는 프레임워크 개발에 대한 요구가 증대되고 있다. 이에 본 고에서는 저자가 개발중인 개인 맞춤 건강 및 웰니스 서비스를 제공하는 마이닝 마인즈 프레임워크를 소개한다. 마이닝 마인즈는 현존하는 최신 기술의 집약체로 개인화, 큐레이션, 빅 데이터 처리, 클라우드 컴퓨팅의 활용, 다양한 센서 정보의 수집과 분석, 진화형 지식의 생성과 관리, UI/UX를 통한 습관화 유도 등 다양한 요소를 포함한다. 그리고 건강 및 웰니스 프레임워크 요구사항 분석을 통해 마이닝 마인즈가 이러한 요구를 충족시킬 수 있으며, 개발된 프로토타입을 통해 개인화 서비스의 발전 가능성을 입증하고 향후 나아가야 할 방향을 제시한다.