• Journal of Digital Convergence
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• 제13권9호
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• pp.269-276
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• 2015

Recently, with the activation of the industry related to the big data, the global security companies have expanded their scopes from structured to unstructured data for the intelligent security threat monitoring and prevention, and they show the trend to utilize the technique of user's tendency analysis for security prevention. This is because the information scope that can be deducted from the existing structured data(Quantify existing available data) analysis is limited. This study is to utilize the analysis of security tendency(Items classified purpose distinction, positive, negative judgment, key analysis of keyword relevance) applying the machine learning algorithm($Na{\ddot{i}}ve$ Bayes, Decision Tree, K-nearest neighbor, Apriori) in the big data environment. Upon the capability analysis, it was confirmed that the security items and specific indexes for the decision of security tendency could be extracted from structured and unstructured data.

• Convergence Security Journal
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• 제22권1호
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• pp.55-60
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• 2022

This study is to analyze trends and relational structures in the energy sector related to renewable energy. For this reason, in this study, we focused on big data including SNS data. SNS utilizes the Instagram platform to collect renewable energy hash tags and use them as a word embedding method for big data analysis and social network analysis, and based on the results derived from this research, it will be used for the development of the renewable energy industry. It is expected that it can be utilized.

• Journal of Digital Contents Society
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• 제19권1호
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• pp.181-191
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• 2018

With the development of IT, hacking crimes are becoming intelligent and refined. In Emergency response, Big data analysis in information security is to derive problems such as abnormal behavior through collecting, storing, analyzing and visualizing whole log including normal log generated from various information protection system. By using the full log data, including data we have been overlooked, we seek to detect and respond to the abnormal signs of the cyber attack from the early stage of the cyber attack. We used open-source ELK Stack technology to analyze big data like unstructured data that occur in information protection system, terminal and server. By using this technology, we can make it possible to build an information security control system that is optimized for the business environment with its own staff and technology. It is not necessary to rely on high-cost data analysis solution, and it is possible to accumulate technologies to defend from cyber attacks by implementing protection control system directly with its own manpower.

• Journal of the Korea Institute of Information Security & Cryptology
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• 제23권5호
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• pp.803-813
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• 2013

As the developments of smart devices and social network services, the amount of data has been exploding. The world is facing Big data era. For these reasons, the Big data processing technology which is a new technology that can handle such data has attracted much attention. One of the most representative technologies is Hadoop. Hadoop Distributed File System(HDFS) designed to run on commercial Linux server is an open source framework and can store many terabytes of data. The initial version of Hadoop did not consider security because it only focused on efficient Big data processing. As the number of users rapidly increases, a lot of sensitive data including personal information were stored on HDFS. So Hadoop announced a new version that introduces Kerberos and token system in 2009. However, this system is vulnerable to the replay attack, impersonation attack and other attacks. In this paper, we analyze these vulnerabilities of HDFS security and propose a new protocol which complements these vulnerabilities and maintains the performance of Hadoop.

• Journal of Digital Convergence
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• 제14권12호
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• pp.155-164
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• 2016

In this paper, we investigate and analyze big data platform published at home and abroad. The results had a problem with personal information security on each platform. In particular, there was a vulnerability in the encryption of personal information stored in big data representative of HBase NoSQL DB that is commonly used for big data platform. However, data encryption and decryption cause the system load. In this paper, we propose a method of encryption with HBase, encryption and decryption systems, and methods for applying the personal information management system (PMIS) for each step of the way and big data platform to reduce the load on the network to communicate. And we propose a new big data platform that reflects this. Therefore, the proposed Big Data platform will greatly contribute to the activation of Big Data used to obtain personal information security and system performance efficiency.

• Journal of the Korea Academia-Industrial cooperation Society
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• 제20권5호
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• pp.492-501
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• 2019

To use the system safely in cyberspace, you need to use a security solution that is appropriate for your situation. In order to strengthen cyber security, it is necessary to accurately understand the flow of security from past to present and to prepare for various future threats. In this study, information security words of security/hacking news of Naver News which is reliable by using text mining were collected and analyzed. First, we checked the number of security news articles for the past seven years and analyzed the trends. Second, after confirming the security/hacking word rankings, we identified major concerns each year. Third, we analyzed the word of each security solution to see which security group is interested. Fourth, after separating the title and the body of the security news, security related words were extracted and analyzed. The fifth confirms trends and trends by detailed security solutions. Lastly, annual revenue and security word frequencies were analyzed. Through this big data news analysis, we will conduct an overall awareness survey on security solutions and analyze many unstructured data to analyze current market trends and provide information that can predict the future.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제11권7호
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• pp.3558-3577
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• 2017

In 2D-to-3D video conversion process, the virtual left and right view can be generated from 2D video and its corresponding depth map by depth image based rendering (DIBR). The depth map plays an important role in conversion system, so the copyright protection for depth map is necessary. However, the provided virtual views may be distributed illegally and the depth map does not directly expose to viewers. In previous works, the copyright information embedded into the depth map cannot be extracted from virtual views after the DIBR process. In this paper, a new copyright protection scheme for the depth map is proposed, in which the copyright information can be detected from the virtual views even without the depth map. The experimental results have shown that the proposed method has a good robustness against JPEG attacks, filtering and noise.

• Journal of Information Processing Systems
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• 제16권2호
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• pp.377-393
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• 2020

Freight management systems require a new business model for rapid decision making to improve their business processes by dynamically analyzing the previous experience data. Moreover, the amount of data generated by daily business activities to be analyzed for making better decisions is enormous. Online-to-offline or offline-to-online (O2O) is an electronic commerce (e-commerce) model used to combine the online and physical services. Data analysis is usually performed offline. In the present paper, to extend its benefits to online and to efficiently apply the big data analysis to the freight management system, we suggested a system architecture based on O2O services. We analyzed and extracted the useful knowledge from the real-time freight data for the period 2014-2017 aiming at further business development. The proposed system was deemed useful for truck management companies as it allowed dynamically obtaining the big data analysis results based on O2O services, which were used to optimize logistic freight, improve customer services, predict customer expectation, reduce costs and overhead by improving profit margins, and perform load balancing.

• Journal of the Korea Institute of Information Security & Cryptology
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• 제29권2호
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• pp.439-449
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• 2019

The development of information technology represented by ICBMA (IoT, Cloud, Big Data, Mobile, AI), is leading to a surge in data and a numerical and quantitative increase in data centers to accommodate it. As the data center is recognized as a social infrastructure, It is very important to identify physical security threats in advance in order to secure safety, such as responding to a terrorist attack. In this paper, we develop physical security threat breakdown structure (PS-TBS) for easy identification and classification of threats, and verify the feasibility and effectiveness of the PS-TBS through expert questionnaires. In addition, we intend to contribute to the improvement of physical security level by practical use in detailed definition on items of PS-TBS.

• Convergence Security Journal
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• 제15권7호
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• pp.31-38
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• 2015

Recently the government civil affairs administration system has been advanced to a cloud computing environment from a simple network environment. The electronic civil affairs processing environment in recent years means cloud computing environment based bid data services. Therefore, there exist lots of problems in processing big data for the government civil affairs service compared to the conventional information acquisition environment. That is, it processes new information through collecting required information from different information systems much further than the information service in conventional network environments. According to such an environment, applications of providing administration information for processing the big data have been becoming a major target of illegal attackers. The objectives of this study are to prevent illegal uses of the electronic civil affairs service based on IPs nationally located in civil affairs centers and to protect leaks of the important data retained in these centers. For achieving it, the safety, usability, and security of services are to be ensured by using different authentication processes and encryption methods based on these processes.