• Convergence Security Journal
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• v.6 no.1
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• pp.45-53
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• 2006

It has been proposed that several RFID authentication protocols based on hash chain. Status based authentication protocol and challenge-response based authentication protocol are secured against location tracking attacks, spoofing attacks, replay attacks, traffic analysis attacks but are vulnerable to Dos attacks. RFID authentication protocol with strong resistance against traceability and denial of service attack is secured against location tracking attack, spoofing attacks, replay attacks, DoS attacks but are vulnerable to traffic analysis attacks. The present study suggests a more secure and lightweight RFID authentication protocol which is combining the advantages of hash-chain authentication protocol and RFID authentication protocol with strong resistance against traceability and denial of service attack. The results of the secure analysts for a proposed protocol are illustrated that it is secured against location tracking attacks, spoofing attacks, replay attacks, traffic analysis attacks, Dos attacks and is a lightweight operation between server and tag.

• The Journal of the Korea institute of electronic communication sciences
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• v.14 no.6
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• pp.1077-1082
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• 2019

The development of computing technology and networking has developed into a fundamental technology of the Fourth Industrial Revolution, which provides a ubiquitous environment. In the ubiquitous environment, the IoT environment has become an issue so that various devices and the things can be actively accessed and connected. Also, the RFID system using the wireless identification code attaches an RFID tag to the object, such as the production and distribution of products. It is applied to the management very efficiently. EPCglobal is conducting a research on RFID system standardization and various security studies. Since RFID systems use wireless environment technology, there are more security threats than wire problems. In particular, failure to provide confidentiality, indistinguishability, and forward safety could expose them to various threats in the Fourth Industrial Revolution. Therefore, this study analyzes the standard method of EPCgolbal and proposes RFID security method using hash code that can consider the amount of computation.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.16 no.12
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• pp.2695-2701
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• 2012

We need privacy protection protocols, that satisfy three essential security requirements; confidentiality, indistinguishability and forward security, in order to protect user's privacy in RFID system. The hash-chain based protocol that Ohkubo et. al proposed is the most secure protocol, that satisfies all of the essential security requirements, among existing protocols. But, this protocol has a disadvantage that it takes very long time to identify a tag in the back-end server. In this paper, we propose a scheme to keep security just as it is and to reduce computation time for identifying a tag in back-end server. The proposed scheme shows the results that the identification time in back-end server is reduced considerably compared to the hash-chain based protocol.

• Convergence Security Journal
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• v.17 no.1
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• pp.3-13
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• 2017

As security log plays important roles in various fields, the integrity of log data become more and more important. Especially, the stored log data is an immediate target of the intruder to erase his trace in the system penetrated. Several theoretical schemes to guarantee the forward secure integrity have been proposed, even though they cannot provide the integrity of the log data after the system is penetrated. Authentication tags of these methods are based on the linear-hash chain. In this case, it is difficult to run partial validation and to accelerate generating and validating authentication tags. In this paper, we propose a log authentication mechanism, based on Mekle Tree, which is easy to do partial validation and able to apply multi threading.

• Journal of Korea Multimedia Society
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• v.16 no.12
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• pp.1413-1426
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• 2013

RFID thecnology has been widely adopted by industries for supply chain management. When a product item is manufactured RFID tag is attached to the product item and supply chain management among factories, distributors, retailers and customers needs to handle ownership transfer for the product item carefully. With RFID technology, the secure and efficient ownership transfer protocol is an important issue for the identification of product items and the overall system efficiency on supply chain. Many ownership transfer protocols have been proposed now. They have security problems and use complex operations such as encryption operation and hash function. Lo et al. proposed a protocol using lightweight operations such as shift, addition, XOR, and random number generation[1]. However, this protocol has a security problem in which the secret key between the tag and the new owner is disclosed to the attackers, and it is also weak against the Fraud attack[2]. In this paper, we propose a new ownership transfer protocol using lightweight operations such as shift, addition, and random number generation. This protocol is the modified version of Lo et al.'s protocol and is secure against the security attacks.

• The Korean Journal of Archival Studies
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• no.67
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• pp.99-138
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• 2021

In the era of big data, analyzing not only structured data but also unstructured data is emerging as an important task. Official documents produced by government agencies are also subject to big data analysis as large text-based unstructured data. From the perspective of internal work efficiency, knowledge management, records management, etc, it is necessary to analyze big data of public documents to derive useful implications. However, since many of the public documents currently held by public institutions are not in open format, a pre-processing process of extracting text from a bitstream is required for big data analysis. In addition, since contextual metadata is not sufficiently stored in the document file, separate efforts to secure metadata are required for high-quality analysis. In conclusion, the current official documents have a low level of machine readability, so big data analysis becomes expensive.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.16 no.4
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• pp.13-26
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• 2006

RFID technology is evaluated as one of core technologies for ubiquitous environment, because of its various characteristics which barcode systems don't have. However, RFID systems have consumer's privacy infringement problems, such like information leakage and location tracing. We need RFID privacy protection protocols, that satisfy three essential security requirements; confidentiality, indistinguishability and forward security, in order to protect consumer's privacy perfectly. The most secure protocol, that satisfies all of the three essential security requirements, among existing protocols, is the hash-chain based protocol that Ohkubo proposed. Unfortunately this protocol has a big disadvantage that it takes very long time to identify a tag in the back-end server. In this paper, we propose a scheme to keep security just as it is and to reduce computation time for identifying a tag in back-end server. The proposed scheme shows the results that the identification time in back-end server is reduced considerably compared to the original scheme of Ohkubo protocol.

• Proceedings of the Korea Information Processing Society Conference
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• 2022.05a
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• pp.12-14
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• 2022

최근 코로나 바이러스로 인한 팬데믹이 장기화 되었고 이는 개인의 정신건강에도 많은 악영향을 미치고 있다. 이에 따른 코로나 우울감 해소 방안으로 '감정일기 애플리케이션'을 제안하며 감정 분석을 위해 2차원 좌표계를 사용한다. 이 애플리케이션에서는 사용자가 입력한 좌표값의 평균으로 콘텐츠를 추천하는데, 평균 좌표값이 획일화되어 한 가지 범주에 고착되는 문제가 있다. 이를 해결하고자 본 논문에서는 콘텐츠 평가 변수 및 사용자 성향 변수를 이용하여 평균 좌표값에 변화를 주었다. 이를 통해 사용자에게 보다 적합한 콘텐츠 추천을 기대한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2021.11a
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• pp.483-486
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• 2021

재난 및 위기상황이 발생하면 해당 상황을 신속하고 정확하게 파악해야 많은 사람들을 구조할 수 있다. 본 논문은 SNS에서 재난 및 위기 상황을 정확하게 인식하는 연구를 진행한다. 텍스트 정규화, 워드 토큰화, 단어 임베딩 과정을 통해 전처리를 진행하고 키워드와 여러 특징들을 뽑아 SVM classifier를 사용하여 분류 작업을 실시한다. 실험결과 재난과 연관이 있는 경우에 해시태그의 빈도수, URL 빈도수, 두 키워드간의 거리가 다른 특징들의 조합보다 더 좋은 결과를 나타내었다.

• Proceedings of the Korea Information Processing Society Conference
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• 2021.11a
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• pp.570-573
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• 2021

오늘날 SNS를 사용하는 사람들이 증가함에 따라, 생성되는 데이터도 많아지고 종류도 매우 다양해졌다. 하지만 유익한 정보만 존재하는 것이 아니라, 부정적, 반사회적, 사행성 등의 부적절한 콘텐츠가 공존한다. 때문에 사용자에 따라 적절한 콘텐츠를 필터링 할 필요성이 증가하고 있다. 따라서 본 연구에서는 SNS Instagram을 대상으로 콘텐츠의 해시태그를 수집하여 데이터화 했다. 또한 k-평균 군집화 기법을 적용하여, 유사한 특성의 콘텐츠들을 군집화하고, 각 군집은 실루엣 계수(Silhouette Coefficient)와 키워드 다양성(Keyword Diversity)을 계산하여 콘텐츠의 적절성을 판단하였다.