• Journal of Digital Contents Society
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• v.14 no.2
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• pp.179-189
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• 2013

With the rapid development of information technology in 21st century, networks are being used with various devices. Most human actions are processed through cyber space, and it is no longer separate from daily life; it has changed into one of the most important aspects of human life. Unfortunately, in cyber space, certification method has not only technical problems, but also ethological problems. Many users seemed to use the same password throughout several sites. And for a long period they refused to change it or made a small change from the earlier password. This research aims to discuss general factors of choosing and using passwords within information security through statistical analysis.

• Structural Engineering and Mechanics
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• v.71 no.6
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• pp.683-697
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• 2019

The reinforced concrete (RC) structures usually suffer large residual displacements under strong motions. The large residual displacements may substantially reduce the anti-seismic capacity of structures during the aftershock and increase the difficulty and cost of structural repair after an earthquake. To reduce the adverse residual displacement, several self-centering energy dissipation braces (SCEBs) have been proposed to be installed to the RC structures. To investigate the seismic responses of the RC structures with SCEBs under the earthquake excitation, an extended Bouc-Wen model with degradation and self-centering effects is developed in this study. The extended model realized by MATLAB/Simulink program is able to capture the hysteretic characteristics of the RC structures with SCEBs, such as the energy dissipation and the degradation, especially the self-centering effect. The predicted hysteretic behavior of the RC structures with SCEBs based on the extended model, which used the unscented Kalman filter (UKF) for parameter identification, is compared with the experimental results. Comparison results show that the predicted hysteretic curves can be in good agreement with the experimental results. The nonlinear dynamic analyses using the extended model are then carried out to explore the seismic performance of the RC structures with SCEBs. The analysis results demonstrate that the SCEB can effectively reduce the residual displacements of the RC structures, but slightly increase the acceleration.

• Journal of the Korea Institute of Information Security & Cryptology
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• v.31 no.1
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• pp.61-71
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• 2021

Instant messengers are a means of communication for modern people and can be used with smartphones and PCs respectively or connected with each other. Messengers, which provide various functions such as message, call, and file sharing, contain user behavior information regarded as important evidence in forensic investigation. However, it is difficult to analyze as well as acquire smartphone data because of the security of smartphones or apps. However, messenger data can be extracted through PC when the messenger is used on PC. In this paper, we obtained the credential data of Wire messenger in Windows 10, and showed that it is possible to log-in from another PC without authentication. In addition, we identified and classified major artifacts generated based on user behavior.

• International Journal of Computer Science & Network Security
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• v.23 no.4
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• pp.69-78
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• 2023

With the global rise of digital data, the uncontrolled quantity of data is susceptible to cyber warfare or cyber attacks. Therefore, it is necessary to improve cyber security systems. This research studies the behavior of malicious acts and uses Higuchi Fractal Dimension (HFD), which is a non-linear mathematical method to examine the intricacy of the behavior of these malicious acts and anomalies within the cyber physical system. The HFD algorithm was tested successfully using synthetic time series network data and validated on real-time network data, producing accurate results. It was found that the highest fractal dimension value was computed from the DoS attack time series data. Furthermore, the difference in the HFD values between the DoS attack data and the normal traffic data was the highest. The malicious network data and the non-malicious network data were successfully classified using the Receiver Operating Characteristics (ROC) method in conjunction with a scaling stationary index that helps to boost the ROC technique in classifying normal and malicious traffic. Hence, the suggested methodology may be utilized to rapidly detect the existence of abnormalities in traffic with the aim of further using other methods of cyber-attack detection.

• The Journal of Asian Finance, Economics and Business
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• v.9 no.5
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• pp.75-86
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• 2022

The service industry has been acknowledged as a critical part of mobile banking services in recent years. This study examines the impact of e-service quality and loyalty on the intention to use and use behavior of mobile banking services in Mongolia, a Central Asian country. As a result, based on past research, a conceptual model was suggested. This study comprises 209 completed questionnaires from young Mongolians who own a bank account and a smartphone. The data was collected based on convenience sampling, and it was analyzed with SmartPLS software using a partial least squares-structural equation modeling (PLS-SEM) technique. The findings indicate that system quality, interface design, and security assurance have a significant positive impact on service quality; service quality has a positive impact on loyalty. Moreover, the results reveal that service quality and loyalty have a significant influence on the intention to use mobile banking services. The findings of this study suggest that local or international banks and financial institutions in Mongolia should consider system quality, interface design, and security concerns as key successors to building perceived security quality to retain current mobile banking users and attract new customers.

• International Journal of Computer Science & Network Security
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• v.24 no.1
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• pp.52-60
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• 2024

APT (Advanced Persistent Threat) attack is a dangerous, targeted attack form with clear targets. APT attack campaigns have huge consequences. Therefore, the problem of researching and developing the APT attack detection solution is very urgent and necessary nowadays. On the other hand, no matter how advanced the APT attack, it has clear processes and lifecycles. Taking advantage of this point, security experts recommend that could develop APT attack detection solutions for each of their life cycles and processes. In APT attacks, hackers often use phishing techniques to perform attacks and steal data. If this attack and phishing phase is detected, the entire APT attack campaign will be crash. Therefore, it is necessary to research and deploy technology and solutions that could detect early the APT attack when it is in the stages of attacking and stealing data. This paper proposes an APT attack detection framework based on the Network traffic analysis technique using open-source tools and deep learning models. This research focuses on analyzing Network traffic into different components, then finds ways to extract abnormal behaviors on those components, and finally uses deep learning algorithms to classify Network traffic based on the extracted abnormal behaviors. The abnormal behavior analysis process is presented in detail in section III.A of the paper. The APT attack detection method based on Network traffic is presented in section III.B of this paper. Finally, the experimental process of the proposal is performed in section IV of the paper.

• KSII Transactions on Internet and Information Systems (TIIS)
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• v.9 no.2
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• pp.659-679
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• 2015

Distributed applications are composed of multiple nodes, which exchange information with individual nodes through message passing. Compared with traditional applications, distributed applications have more complex behavior patterns because a large number of interactions and concurrent behaviors exist among their distributed nodes. Thus, it is difficult to detect anomalous behaviors and determine the location and scope of abnormal nodes, and some attacks and misuse cannot be detected. To address this problem, we introduce a method for detecting anomalous behaviors based on process algebra. We specify the architecture of the behavior detection model and the detection algorithm. The anomalous behavior detection and analysis demonstrate that our method is a good discriminator between normal and anomalous behavior characteristics of distributed applications. Performance evaluation shows that the proposed method enhances efficiency without security degradation.

• Journal of East Asia Management
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• v.4 no.1
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• pp.79-98
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• 2023

This study investigates the relationship between firm's cost behavior and the managerial strategic deviation. Firms which intend to reduce uncertainty and improve viability for future performance tend to implement managerial strategies similar to peer firms in the same industry. Since the managerial decisions affect firm's cost behavior, the strategic deviation including operations different from others would be associated with cost behavior distinct from peer firms. On firms listed on Korean Security Exchange and KOSDAQ markets from 2002 to 2017, the analysis show the results that the firm's strategic deviation is positively associated with cost-downward rigidity, indicating that the management strategy affects the cost behavior. Also, it means that corporate managers who choose a strategy that deviates from peer firms are less likely to adjust their resource even when sales decrease. This study is meaningful in expanding the literature on the determinants of cost behavior by analyzing the effect of the management strategy's characteristics of strategic deviation on cost behavior.

• Journal of Digital Convergence
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• v.11 no.1
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• pp.27-38
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• 2013

There are two elements of security policy that can have a bearing on its effectiveness: content and form. While the content of the security policy has been investigated extensively in the most of the previous studies, there is very little literature on the form of the security policy. Since the form of the policy influences its success, it is important to understand how to articulate the form of a security policy. Thus, the aim of this study is to investigate the relationship between security form and policy compliance of employees. Research results find that dimensions of security form have effect on attitude towards security compliance, subjective norm, perceived behavioral control, and perceived response costs, and besides attitude towards security compliance and subjective norm have an effect on persistent security compliance intention. The conclusions and implications are discussed.

• Proceedings of the Korea Association of Information Systems Conference
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• 2003.05a
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• pp.93-105
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• 2003

Although, recently, studies on Internet banking users' behavior have been frequently found in some academic journals, most of them have ignored security anxiety which may be considered as important factors influencing usages of Internet banking. We propose an research model for Internet banking users which is an extended version of the Technology Acceptance Model(TAM) by adding new variable, security anxiety. For empirical support of our model, we survey for 298 samples and analyze it by structured equation model(SEM). In result, our proposed model is proved as a valid one in which all hypotheses except one are accepted and the values of model fitness are relatively high.