• Title/Summary/Keyword: Security Data Analysis

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A Study on Disconfirmity to Security Practices of Smart-phone : Focused on Roles of Efficacy (스마트폰 사용자의 보안수칙 실천 부족에 관한 연구 : 효능감의 역할을 중심으로)

  • Kim, Jea-hyun;Kim, Jong-ki
    • The Journal of Information Systems
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    • v.24 no.3
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    • pp.1-19
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    • 2015
  • Purpose This study discusses the contradictory behavior of smart-phone users who consider security is important, but they do not follow the security recommendations. We found through literature research that this contradictory behavior is resulted from a low level of efficacy. Design/methodology/approach Research hypotheses were set based on Extended Parallel Process Model, Control Theory, and Self Efficacy Mechanism. The data were collected from undergraduate students. Total of 178 data were used for the analysis. Findings Results of the analysis, first, showed that the relationship between threat and security attitude varies with the level of coping efficacy. Second, showed that the relationship between threat and fear does not vary with the level of coping efficacy. Both the groups with high coping efficacy and low coping efficacy had a statistically significant effect on the relationship between threat and fear.

The Development Plan of Voltage Security On-Line Monitoring System (전압안전성 온라인 감시시스템의 개발방안)

  • Jeon, D.H.;Kweon, S.G.;An, G.W.
    • Proceedings of the KIEE Conference
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    • 1998.07c
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    • pp.1173-1175
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    • 1998
  • This paper presented the development plan of voltage security on-line monitoring system (VSECOMs). VSECOMs consists of voltage security monitoring system and data management system. VSECOMs has the function of bus voltage watch. voltage stability analysis, and voltage security assessment. EMS data on-line acquisition, PSS/E file conversion, and overall data management. VSECOMs is designed with client/server structure. We will seek stable operation of KEPCO's power system by installation of VSECOMs in EMS of KEPCO.

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A Study on the 4th Industrial Revolution and E-Government Security Strategy -In Terms of the Cyber Security Technology of Intelligent Government- (제4차 산업혁명과 전자정부 보안연구 -지능형 정부의 빅데이터 사이버보안기술 측면에서-)

  • Lee, Sang-Yun;Yoon, Hong-Joo
    • The Journal of the Korea institute of electronic communication sciences
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    • v.14 no.2
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    • pp.369-376
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    • 2019
  • This paper studies desirable form of future e-government in terms of intelligent government research in response to new intelligent cyber security services in the fourth industrial revolution. Also, the strategic planning of the future e-government has been contemplated in terms of the centralization and intellectualization which are significant characteristics of the fourth industrial revolution. The new system construction which is applied with security analysis technology using big data through advanced relationship analysis is suggested in the paper. The establishment of the system, such as SIEM(Security Information & Event Management), which anticipatively detects security threat by using log information through big data analysis is suggested in the paper. Once the suggested system is materialized, it will be possible to expand big data object, allow centralization in terms of e-government security in the fourth industrial revolution, boost data process, speed and follow-up response, which allows the system to function anticipatively.

The analysis of data structure to digital forensic of dashboard camera (차량용 블랙박스 포렌식을 위한 분석 절차 및 저장 구조 분석)

  • An, Hwihang;Lee, Sangjin
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.25 no.6
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    • pp.1495-1502
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    • 2015
  • Dashboard camera is important system to store the variable data that not only video but also non-visual information that state of vehicle such as accelerometer, speed, direction. Non-visual information include variable data that can't visualization, so it used important evidence to figure out the situation in accident. It could be missed to non-visual information what can be prove the case in the just digital video forensic procedure. In this paper, We proposal the digital forensic analysis procedure for dashboard camera to all data in dashboard camera extract and analysis data for investigating traffic accident case. And I analyze to some products in with this digital forensic analysis procedure.

Analysis on ISMS Certification and Organizational Characteristics based on Information Security Disclosure Data (정보보호 공시 데이터를 이용한 정보보호 관리체계 인증과 조직의 특성 분석)

  • SunJoo Kim;Tae-Sung Kim
    • Information Systems Review
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    • v.25 no.4
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    • pp.205-231
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    • 2023
  • The Information Security Management System (ISMS) is a protection procedure and process that keeps information assets confidential, flawless, and available at any time. ISMS-P in Korea and ISO/IEC 27001 overseas are the most representative ISMS certification systems. In this paper, in order to understand the relationship between ISMS certification and organizational characteristics, data were collected from Korea Internet & Security Agency (KISA), Ministry of Science and ICT, Information Security Disclosure System (ISDS), Financial Supervisory Service, Data Analysis, Retrieval and Transfer System (DART), and probit regression analysis was performed. In the probit analysis, the relationship with four independent variables was confirmed for three cases: ISMS-P acquisition, ISO/IEC 27001 acquisition, and both ISMS-P and ISO/IEC 27001 acquisition. As a result of the analysis, it was found that companies that acquired both ISMS-P and ISO/IEC 27001 had a positive correlation with the total number of employees and a negative correlation with business history. In addition, the improvement direction of the ISMS-P certification system and information security disclosure system could also be confirmed.

Exploring the Strategy for Acquiring ISMS Certification through Probit Regression: Focusing on Organizational Characteristics (Probit 회귀분석을 통한 ISMS 인증 취득 전략 탐색: 조직 특성을 중심으로)

  • SunJoo Kim;Tae-Sung Kim
    • Journal of Information Technology Services
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    • v.23 no.1
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    • pp.11-25
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    • 2024
  • In the field of information security management systems, one of the representative certifications in Korea is ISMS-P certification, and internationally, ISO/IEC 27001 certification is recognized. When companies acquire both ISMS-P (or ISMS) and ISO/IEC 27001 certifications, budget and manpower are duplicated in similar areas. Therefore, it is necessary for the company to choose and invest in a certification that is suitable for its conditions. This paper proposes a strategy for obtaining information security management system certification that is suitable for the characteristics of the company, allowing for effective information security management based on the company's conditions. To achieve this, data were collected from the Ministry of Science and ICT's Information Security Disclosure System (ISDS), the Korea Internet & Security Agency (KISA), and the Financial Supervisory Service's Data Analysis, Retrieval and Transfer System (DART), and Probit regression analysis was conducted. During the Probit regression analysis, the relationships between seven independent variables and five cases of ISMS-P (or ISMS) acquisition, ISMS-P acquisition, ISMS acquisition, ISO/IEC 27001 acquisition, and both ISMS-P (or ISMS) and ISO/IEC 27001 acquisition were analyzed. The analysis results revealed the relationship between company characteristics, including industry, and certification acquisition in the ISMS field. Through this, strategies for certification acquisition based on company types could be suggested.

A Study on the Development Plan of Smart City in Korea

  • KIM, Sun-Ju
    • The Journal of Economics, Marketing and Management
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    • v.10 no.6
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    • pp.17-26
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    • 2022
  • Purpose: This study analyzes advanced cases of overseas smart cities and examines policy implications related to the creation of smart cities in Korea. Research design, data, and methodology: Analysis standards were established through the analysis of best practices. Analysis criteria include Technology, Privacy, Security, and Governance. Results: In terms of technology, U-City construction experience and communication infrastructure are strengths. Korea's ICT technology is inferior to major countries. On the other hand, mobile communication, IoT, Internet, and public data are at the highest level. The privacy section created six principles: legality, purpose limitation, transparency, safety, control, and accountability. Security issues enable urban crime, disaster and catastrophe prediction and security through the establishment of an integrated platform. Governance issues are handled by the Smart Special Committee, which serves as policy advisory to the central government for legal system, standardization, and external cooperation in the district. Conclusions: Private technology improvement and participation are necessary for privacy and urban security. Citizens should participate in smart city governance.

Research on major technology trends in the field of financial security through Korea and foreign patent data analysis (국내외 특허 데이터 분석을 통한 금융보안 분야 주요 기술 동향 분석연구)

  • Chae, Ho-Kuen;Lee, Jooyeoun
    • Journal of Digital Convergence
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    • v.18 no.6
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    • pp.53-63
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    • 2020
  • Electronic financial transactions are also actively increasing due to the rapid spread of information communication media such as the Internet, smart devices, and IoT, but as a derivative by-product, threats of financial security such as leakage of various personal information and hacking are also increasing. Therefore, the importance of financial security against this is increasing, but in Korea, financial security technology is relatively insufficient compared to advanced countries in the field of financial security, such as Active-X. Therefore, this study aims to present the major development direction in the domestic financial security field by comparing key technology trends with IPC classification frequency analysis, keyword frequency analysis, and keyword network analysis based on domestic and foreign financial security-related patent data. In conclusion, it seems that recent domestic and foreign trends have focused on the development of related technologies according to the development of smart device-based electronic financial services. Accordingly, it is intended to be used as the basis data for technology development of financial security by mapping the trend of financial security research trend and technology trend analysis through thesis data analysis that reflects the research of the preceding aspect as the technology of commercialization in the future.

SECURITY THREATS AND ATTACKS IN CLOUD

  • Mohammed, Asma;Al khathami, Jamilah;Alhakami, Wajdi
    • International Journal of Computer Science & Network Security
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    • v.21 no.1
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    • pp.184-191
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    • 2021
  • The amount of information and data in the digital era is increasing tremendously. Continuous online connectivity is generating a massive amount of data that needs to store in computers and be made available as and when required. Cloud computing technology plays a pivotal role in this league. Cloud computing is a term that refers to computer systems, resources and online services that aim to protect and manage data in an effective, more efficient and easy way. Cloud computing is an important standard for maintaining the integrity and security of sensitive data and information for organizations and individuals. Cloud security is one of the most important challenges that the security of the entire cloud system depends on. Thus, the present study reviews the security challenges that exist in cloud computing, including attacks that negatively affect cloud resources. The study also addresses the most serious threats that affect cloud security. We also reviewed several studies, specifically those from 2017-20, that cited effective mechanisms to protect authentication, availability and connection security in the cloud. The present analysis aims to provide solutions to the problems and causes of cloud computing security system violations, which can be used now and developed in the future.

Social Media Data Analysis Trends and Methods

  • Rokaya, Mahmoud;Al Azwari, Sanaa
    • International Journal of Computer Science & Network Security
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    • v.22 no.9
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    • pp.358-368
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    • 2022
  • Social media is a window for everyone, individuals, communities, and companies to spread ideas and promote trends and products. With these opportunities, challenges and problems related to security, privacy and rights arose. Also, the data accumulated from social media has become a fertile source for many analytics, inference, and experimentation with new technologies in the field of data science. In this chapter, emphasis will be given to methods of trend analysis, especially ensemble learning methods. Ensemble learning methods embrace the concept of cooperation between different learning methods rather than competition between them. Therefore, in this chapter, we will discuss the most important trends in ensemble learning and their applications in analysing social media data and anticipating the most important future trends.