• Journal of Information Processing Systems
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• v.17 no.4
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• pp.772-786
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• 2021

The process of tracking suspicious behavior manually on a system and gathering evidence are labor-intensive, variable, and experience-dependent. The system logs are the most important sources for evidences in this process. However, in the Microsoft Windows operating system, the action events are irregular and the log structure is difficult to audit. In this paper, we propose a model that overcomes these problems and efficiently analyzes Microsoft Windows logs. The proposed model extracts lists of both common and key events from the Microsoft Windows logs to determine detailed actions. In addition, we show an approach based on the proposed model applied to track illegal file access. The proposed approach employs three-step tracking templates using Elastic Stack as well as key-event, common-event lists and identify event lists, which enables visualization of the data for analysis. Using the three-step model, analysts can adjust the depth of their analysis.

• International Journal of Computer Science & Network Security
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• v.21 no.11
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• pp.165-170
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• 2021

Discrete event systems interact with the external environment to decide which action plan is adequate. Some of these interactions are not predictable in the modelling phase and require consequently an adaptation of the system to the metamorphosed behavior of the environment. One of the challenging issues is to guarantee safety behavior when failures tend to derive the system from normal status. In this paper we propose a framework to combine diagnose technique with adaptive control to avoid unsafe sate an maintain the normal behavior as long as possible.

• Proceedings of the Korean Information Science Society Conference
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• 2007.06d
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• pp.21-24
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• 2007

ESM 에서 보안이벤트 분석기술에는 실시간 보안이벤트 필터링 기술, 보안이벤트 상호연관분석기술, 보안이벤트 시각화 분석기술이 활용되고 있다. 기존 보안이벤트 분석기술에서 탐지하지 못하는 미탐을 감소시키고 침입 탐지율을 향상시키기 위하여 보안이벤트 프로파일링 기술을 접목한 침입추론 기술을 제안한다. 보안이벤트를 네트워크 분류, 호스트 분류, 웹 이벤트 분류로 유형을 구분하고 각각을 프로파일링 하여 네트워크 공격의 Anomaly와 웹 어플리케이션 공격을 탐지할 수 있다.

• Journal of the Korea Safety Management & Science
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• v.11 no.4
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• pp.221-228
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• 2009

Electronic Product Code Information Services(EPCIS) is an EPCglobal standard for sharing EPC related information between trading partners. EPCIS provides a new important capability to improve efficiency, security, and visibility in the global supply chain. EPCIS data are classified into two categories, master data (static data) and event data (dynamic data). Master data are static and constant for objects, for example, the name and code of product and the manufacturer, etc. Event data refer to things that happen dynamically with the passing of time, for example, the date of manufacture, the period and the route of circulation, the date of storage in warehouse, etc. There are four kinds of event data which are Object Event data, Aggregation Event data, Quantity Event data, and Transaction Event data. This thesis we propose an event-based data model for EPC Information Service repository in RFID based integrated logistics center. This data model can reduce the data volume and handle well all kinds of entity relationships. From the point of aspect of data quantity, we propose a formula model that can explain how many EPCIS events data are created per one business activity. Using this formula model, we can estimate the size of EPCIS events data of RFID based integrated logistics center for a one day under the assumed scenario.

• Asia pacific journal of information systems
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• v.30 no.2
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• pp.328-352
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• 2020

If a firm announces an investment in IT security, how the market value of its competitors reacts to the announcement? We try to shed light on this question through an event study design. To test the relationship, we collected 143 announcements on cybersecurity investment and measured the subsequent impact on 533 competitors' abnormal returns, spanning from 2000 to 2019. Our estimation results present that, on average, the announcements have no observable impact on the market value of announcing firms and competitors as well, which is consistent with findings of a prior study. Interestingly, however, the impact becomes evident when we classify our samples by industries (Finance vs. non-Finance or ICT vs. non-ICT) and firm size (Big vs. Small). We interpret our empirical findings through the lenses of contagion effect and competition effect between announcing firms and their competitors. Key finding of our study is that, for financial service firms, the effect resulting from the announcement on cybersecurity investment transfers to competitors in the same direction (i.e., contagion effect).

• Journal of the Korea Institute of Information Security & Cryptology
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• v.32 no.5
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• pp.1009-1017
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• 2022

Log data has been used as a basis in understanding and deciding the main functions and state of information systems. It has also been used as an important input for the various applications in cybersecurity. It is an essential part to get necessary information from log data, to make a decision with the information, and to take a suitable countermeasure according to the information for protecting and operating systems in stability and reliability, but due to the explosive increase of various types and amounts of log, it is quite challenging to effectively and efficiently deal with the problem using existing tools. Therefore, this study has suggested a multiclass classification of the security severity level of multi-source event log using machine learning based on natural language processing. The experimental results with the training and test samples of 472,972 show that our approach has archived the accuracy of 99.59%.

• Journal of the Society of Disaster Information
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• v.8 no.2
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• pp.158-170
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• 2012

Citizens'income has been increased along with the trend of rapid changes in society, and the quality of their lives has been improved as well. As much as the degree of increase of quality of life, the number of spectators for performing art events, etc. who desire to fulfill their needs for enjoyment of varied cultural performances have been increasing, and also a large number of spectators enjoys a variety of festivals being held in each provincial area as well as international events: we still remember such frantic rooting shown by citizens during 2002 World Cup drawing attention and interest of entire nation. There are always risks of loss of human lives if accidents occur as there sult of close-packed crowd gathered at the same time. Therefore, it is required to prepare adequate security measures in order to prevent various accidents before hand. It is hoped that this research work would be of help for further efficient and systematic security management for the performing arts centers or public theaters encouraging the event organizer and the private security firm and the Korea Private Security Association to exert great effort and investments in further projects for development of security technology. Also, it is required to build a performance culture to consider audience's safety first from the beginning to the end of the event on the basis of efficient security management. Furthermore, spect at or sare required to recognize the fact that safety in the site for performing arts should be guaranteed for everyone's sake, and, to achieve this, they are obliged to be more cooperative with the event organizer and the private security firm, forming a trinity all together, in order not to have safety threatening situations in the site of performing arts events.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.25 no.3
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• pp.649-664
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• 2015

Recently, the risk of security incidents has been increased due to change of IT environment and development of new hacking methods. Event study methodology that measures the effect of a specific security incident on the stock price is widely adopted to analyze the damage cost of security incidents on market value. However, analysis of company's temporary stock price change is limited to immediate practical implication, and reputation loss should be considered as a collateral damage caused by security incidents. We analyzed 52 security incidents of listed Korean companies in the last decade; by refining the criteria presented by Tobin's q, we quantitatively showed that the companies has significantly higher reputation loss due to security loss than the other companies. Our research findings can be used in order that the companies can efficiently allocate its resource and investment for information security.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.25 no.10
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• pp.1391-1396
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• 2021

The boundary-based security system has the advantage of high operational efficiency and easy management of security solutions, and is suitable for denying external security threats. However, since it is operated on the premise of a trusted user, it is not suitable to deny security threats that occur from within. A zero trust access control model was proposed to solve this problem of the boundary-based security system. In the zero trust access control model, the security requirements for real-time security event monitoring must be satisfied. In this study, we propose a monitoring method for the most basic file access among real-time monitoring functions. The proposed monitoring method operates at the kernel level and has the advantage of fundamentally preventing monitoring evasion due to the user's file bypass access. However, this study focuses on the monitoring method, so additional research to extend it to the access control function should be continued.

• International Journal of Computer Science & Network Security
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• v.24 no.4
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• pp.179-191
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• 2024

With the advancement of modern technology, cyber-attacks are always rising. Specialized defense systems are needed to protect organizations against these threats. Malicious behavior in the network is discovered using security tools like intrusion detection systems (IDS), firewall, antimalware systems, security information and event management (SIEM). It aids in defending businesses from attacks. Delivering advance threat feeds for precise attack detection in intrusion detection systems is the role of cyber-threat intelligence (CTI) in the study is being presented. In this proposed work CTI feeds are utilized in the detection of assaults accurately in intrusion detection system. The ultimate objective is to identify the attacker behind the attack. Several data sets had been analyzed for attack detection. With the proposed study the ability to identify network attacks has improved by using machine learning algorithms. The proposed model provides 98% accuracy, 97% precision, and 96% recall respectively.