• 한국정보통신학회:학술대회논문집
• /
• 한국정보통신학회 2013년도 춘계학술대회
• /
• pp.693-696
• /
• 2013

정보보호시스템(Information protection system)기반의 IT 환경 구축이 보편화되면서 공공기관 및 기업체에서는 정보시스템 자원의 활용과 통합을 위한 하나의 필수적인 환경으로 인식하기 시작하였고, 클라우드 시스템(Cloud System), 클라우드 보안(Cloud Security), 빅데이터(Big Data), 빅데이터 보안(Big Data Security), 산업보안(Industry Security)등이 이슈화 되고 있다. 이러한 영향으로 인해 정보보호시스템(Information protection system) 구축에 따른 내외부적인 보안 위협요소 분석과 대응방안 수립하고자 한다. 본 논문에서는 정보보호시스템(Information protection system) 도입에 따른 여러 가지 보안 위협요소를 알아보고 특히 산업보안적인 측면과 내외부 보안위협요소에 관한 측면을 조명하여 대응방안 수립에 관한 기반 지식을 제공하고자 한다.

• 융합보안논문지
• /
• 제4권3호
• /
• pp.1-8
• /
• 2004

Computational Grid나 Data Grid와 같은 대규모 분산 시스템은 장애 탐지, 성능 측정, 성능튜닝, 성능 예측, 스케줄링, 보안 분석 등의 작업을 위해 많은 량의 모니터링 데이터를 필요로 한다. 네트워크 특성을 나타내는 지표들은 네트워크 모니터링 시스템을 통해 얻어질 수 있으며 시스템에 의해 축적된 자료는 상기한 작업의 정확한 분석을 돕는다. 본 논문에서는 네트워크 모니터링 시스템의 한 형태로 네트워크 모니터링기반의 네트워크 성능 및 보안 분석 시스템을 소개한다. 본 시스템은 이용자 중심으로 네트워크 성능 및 보안 데이터를 제공하며, 이용자가 원격지의 네트워크 특성을 측정 환경에 따라 변화해 가며 측정할 수 있게 함으로써 해당 원격지의 네트워크 서비스를 가늠해 볼 수 있게 한다.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• 제12권12호
• /
• pp.6057-6078
• /
• 2018

Smart home systems provide a safe, comfortable, and convenient living environment for users, whereby users enjoy featured home services supported by the data collected and generated by smart devices in smart home systems. However, existing smart devices lack sufficient protection in terms of data security and privacy, and challenging security and privacy issues inevitably emerge when using these data. This article aims to address these challenging issues by proposing a private blockchain-based access control (PBAC) scheme. PBAC involves employing a private blockchain to provide an unforgeable and auditable foundation for smart home systems, that can thwart illegal data access, and ensure the accuracy, integrity, and timeliness of access records. A detailed security analysis shows that PBAC could preserve data security against various attacks. In addition, we conduct a comprehensive performance evaluation to demonstrate that PBAC is feasible and efficient.

• 디지털산업정보학회논문지
• /
• 제10권1호
• /
• pp.89-97
• /
• 2014

Recently, spread of Smartphones caused activation of mobile services, because of that Big Data such as clouding service able to proceed with large amount of data which are hard to collect, save, search and analyze. Many companies collected variety of private and personal information without users' agreement for their business strategy and marketing. This situation raised social issues. As companies use Big Data, numbers of damage cases are growing. In this Thesis, when Big Data process, methods of analyze and research of data are very important. This thesis will suggest that choices of security levels and algorithms are important for security of private informations. To use Big Data, it has to encrypt the personal data to emphasize the importance of security level and selection of algorithm. Thesis will also suggest that research of utilization of Big Data and protection of private informations and making guidelines for users are require for security of private information and activation of Big Data industries.

• 정보보호학회논문지
• /
• 제27권5호
• /
• pp.1117-1127
• /
• 2017

사물인터넷 시대의 도래로 인터넷에 연결된 다양한 기기들의 사용은 급성장 하였으나 사물인터넷 보안은 아직 취약한 상태이다. 사물인터넷은 목적에 따라 다양한 기기들이 사용되고 또한 저 전력 환경에서 동작할 수 있도록 각기 다른 프로토콜들을 사용하고 있으며, 많은 양의 트래픽을 발생시켜 기존 보안 기술들을 접목시키기 어렵다. 그러므로 본 논문에서는 이러한 문제점을 해결하기 위한 방안중의 하나로 Hadoop/Hive를 이용한 빅데이터 분석 기술 및 통계 분석 도구인 R을 활용하여 네트워크 정상행위 규정 방법을 제시하며 시뮬레이션을 통해 제안한 방법의 유효성을 검증한다.

• International Journal of Computer Science & Network Security
• /
• 제21권12spc호
• /
• pp.643-647
• /
• 2021

The use of data analysis on large volumes of data constitutes a challenge for deducting knowledge and new information. Data can be heterogeneous and complex: Semi-structured data (Example: XML), Data from social networks (Example: Tweets) and Factual data (Example: Spreading of Covid-19). In this paper, we propose a generic multidimensional model in order to analyze complex data, according to several dimensions.

• International Journal of Computer Science & Network Security
• /
• 제22권3호
• /
• pp.364-374
• /
• 2022

Health information systems (HIS) are facing security challenges on data privacy and confidentiality. These challenges are based on centralized system architecture creating a target for malicious attacks. Blockchain technology has emerged as a trending technology with the potential to improve data security. Despite the effectiveness of this technology, still HIS are suffering from a lack of data privacy and confidentiality. This paper presents a blockchain-based data storage security architecture integrated with an e-Health care system to improve its security. The study employed a qualitative research method where data were collected using interviews and document analysis. Execute-order-validate Fabric's storage security architecture was implemented through private data collection, which is the combination of the actual private data stored in a private state, and a hash of that private data to guarantee data privacy. The key findings of this research show that data privacy and confidentiality are attained through a private data policy. Network peers are decentralized with blockchain only for hash storage to avoid storage challenges. Cost-effectiveness is achieved through data storage within a database of a Hyperledger Fabric. The overall performance of Fabric is higher than Ethereum. Ethereum's low performance is due to its execute-validate architecture which has high computation power with transaction inconsistencies. E-Health care system administrators should be trained and engaged with blockchain architectural designs for health data storage security. Health policymakers should be aware of blockchain technology and make use of the findings. The scientific contribution of this study is based on; cost-effectiveness of secured data storage, the use of hashes of network data stored in each node, and low energy consumption of Fabric leading to high performance.

• 한국컴퓨터정보학회논문지
• /
• 제27권5호
• /
• pp.199-204
• /
• 2022

이 연구의 목적은 경비업법에 대한 연구자들의 관점이 아닌 언론보도 빅데이터를 분석하여 경비업법에 대한 이해를 넓히고 다양한 현상들에 대한 의미를 살펴보는데 연구의 목적을 두고 있다. 연구방법은 우리니라의 범죄예방과 사회질서유지의 중요한 주체로써 경비업무의 대한 규정하고 있는 「경비업법」을 키워드로 검색하였다. 자료검색은 빅카인즈에서 제공가능한 1990년부터 2021년까지로 하였다. 또한 자료검색 기간동안의 구체적인 분석을 위해 정착기(1976~2001), 성장기-양적(2002~2012), 성장기-질적(2013~2021)로 구분하여 분석하였다 연구결과에 따른 경비업법의 언론보도 인식은 시대의 흐름에 따라 민간경비의 사회적 역할 및 중요성은 계속 강조되고 있다고 볼 수 있다. 그에 따른 민간경비의 시장성은 앞으로도 다양한 산업군과 결합되어 국민의 생명과 재산을 보호하는데 큰 역할을 할 것으로 판단된다. 하지만 경찰과 더불어 치안서비스를 제공하는 민간경비산업은 법적 규제 및 불법적인 문제들로 야기되는 다양한 사회적 이슈로 인해 민간경비산업의 발전을 저해하는 요소로 부각될 수 있기 때문에 거기에 따른 책임 및 역할을 더욱더 강화시킬 필요성이 제기된다.

• ETRI Journal
• /
• 제42권2호
• /
• pp.292-304
• /
• 2020

As side-channel analysis and machine learning algorithms share the same objective of classifying data, numerous studies have been proposed for adapting machine learning to side-channel analysis. However, a drawback of machine learning algorithms is that their performance depends on human engineering. Therefore, recent studies in the field focus on exploiting deep learning algorithms, which can extract features automatically from data. In this study, we survey recent advances in deep learning-based side-channel analysis. In particular, we outline how deep learning is applied to side-channel analysis, based on deep learning architectures and application methods. Furthermore, we describe its properties when using different architectures and application methods. Finally, we discuss our perspective on future research directions in this field.

• 대한가정학회지
• /
• 제29권4호
• /
• pp.151-165
• /
• 1991

The purpose of this study was to examine causal model of resources and demands, family financial management and subjective financial security among urban households based on system theory. For this purpose, the data were collected by the questionnaire sheets. 455 housewives participated this survey in Seoul. And the data were analyzed by various statistical methods such as Frequency, Percentile, ANOVA, F-test, Pearson's correlation analysis, Multipe Regression Analysis, and Path Analysis. The results of this research were as follows: 1. There were significant differences in the Subjective Financial Security according to resource variables and demand yariables. Those variables were such as housewive's age, education, occupation, househead's occupation, per capita income, aspiration, expectancy, perception of financial progress and relative deprivation. 2. The higher family financial management level, the higher level of Subjective Financial security. And the higher family financial management plan·implement level, the higher level of Subjective Financial security. 3. The lower debt/asset ratio, the higher level of Subjective Financial security. 4. Aspiration, per capita income an financial managemant variables showed direct effect on Subjective Financial security among all variables affecting the urban households' Subjective financial security. While housewive's education level, aspiration, per capita income and husband's occupation affected indirectly on the Subjective Financial security through family financial managemant.