• The Journal of Information Systems
• /
• v.26 no.3
• /
• pp.313-337
• /
• 2017

Purpose Financial technology, also known as FinTech, is conceptually defined as a new type of financial service which is combined with information technology and other traditional financial services like payments, investments, financing, insurance, asset management and so on. Most of the studies on FinTech services have been conducted from the viewpoint of technical issues or legal and institutional studies, and few studies are conducted from the health belief perspectives and security behavior approaches. In this regard, this study suggest an extended information protection behavior model. Design/Methodology/Approach The Health Belief Model (HBM), the Protection Motivation Theory (PMT), and the Technology Threat Avoidance Theory (TTAT) were employed to identify constructs relevant to information protection behavior of FinTech services. A new extended information protection behavior model in which the influence factors of information protection behavior (i.e., perceived susceptibility, perceived severity, perceived benefits, perceived barriers, perceived self-efficacy, subjective norms) affect perceived threats and perceived responsiveness positively, leading to information protection behavior of FinTech users eventually. This study developed an extended information protection behavior model to explain the protection behavior intention in FinTech users and collected 272 survey responses from the mobile users who had experiences with such mobile payments and FinTech services. Findings The finding of this study suggests that the influence factors of information protection behavior affect perceived threats and perceived responsiveness positively, and information protection behavior of FinTech users as well.

• Journal of Korea Society of Digital Industry and Information Management
• /
• v.16 no.1
• /
• pp.67-78
• /
• 2020

Typical security solutions such as intrusion detection system are not suitable for detecting advanced persistent attack(APT), because they cannot draw the big picture from trivial events of security solutions. Researches on techniques for detecting multiple stage attacks by analyzing the correlations between security events or alerts are being actively conducted in academic field. However, these studies still use events from existing security system, and there is insufficient research on the structure of the entire security system suitable for advanced persistent attacks. In this paper, we propose an attack path and intention recognition system suitable for multiple stage attacks like advanced persistent attack detection. The proposed system defines the trace format and overall structure of the system that detects APT attacks based on the correlation and behavior analysis, and is designed with a structure of detection system using deep learning and big data technology, etc.

• Korean Security Journal
• /
• no.14
• /
• pp.69-87
• /
• 2007

Study results on the perception of organization justice and organization member behavior of private security are as below. Primarily, organization justice showed variation according to socio-demographic characteristics which include age, the period the person has stayed in the current workplace, total period of working and monthly income. As for age, in aspect of the perception of distribution justice, the 36 or older age group prevailed, and the 31 to 35 age group prevailed in the perception of procedure justice. So, perception of organization justice increased accordingly with age. According to the period the person has stayed in the current workplace category, showed high levels in the perception of distribution justice and perception of procedure justice in the $3\;{\sim}\;5$ years group. As for total period of working, both perception of distribution justice and the perception of procedure justice proved greatest in the 5 years or more group and according to monthly income, the KRW 1800,000 or more group showed high levels of perception of distribution justice and the perception of procedure justice. Secondly, organization member behavior showed variation according to sociodemographic characteristics. In organization member behavior, loyal behavior increased along with age and inter-personal relationship behavior and altruistic behavior prevailed in the age group 31-35 According to period the person has worked at the current workplace and in case of total period of working, loyal behavior, inter-personal relationship behavior and altruistic behavior proved to be high. As for monthly income, an increase in monthly income resulted in a high figure in loyal behavior, inter-personal relationship behavior and altruistic behavior. Thirdly, after regression analysis of the relationship of the perception of organization justice and organization member behavior, perception of procedure justice was analyzed to have relatively high influence. Therefore, the hypothesis presented in this study was all chosen after the regression analysis results. This shows that the enhancement of organization member behavior can be improved. by enhancing the perception of organization justice. Thus, it can be concluded that if a private guard recognizes his justice, organization member behavior can be enhanced.

• KSII Transactions on Internet and Information Systems (TIIS)
• /
• v.13 no.6
• /
• pp.3055-3073
• /
• 2019

In this paper, a new user identification method is presented using real environmental human-computer-interaction (HCI) behavior data to improve method usability. User behavior data in this paper are collected continuously without setting experimental scenes such as text length, action number, etc. To illustrate the characteristics of real environmental HCI data, probability density distribution and performance of keyboard and mouse data are analyzed through the random sampling method and Support Vector Machine(SVM) algorithm. Based on the analysis of HCI behavior data in a real environment, the Multiple Kernel Learning (MKL) method is first used for user HCI behavior identification due to the heterogeneity of keyboard and mouse data. All possible kernel methods are compared to determine the MKL algorithm's parameters to ensure the robustness of the algorithm. Data analysis results show that keyboard data have a narrower range of probability density distribution than mouse data. Keyboard data have better performance with a 1-min time window, while that of mouse data is achieved with a 10-min time window. Finally, experiments using the MKL algorithm with three global polynomial kernels and ten local Gaussian kernels achieve a user identification accuracy of 83.03% in a real environmental HCI dataset, which demonstrates that the proposed method achieves an encouraging performance.

• The Journal of Asian Finance, Economics and Business
• /
• v.8 no.2
• /
• pp.1225-1235
• /
• 2021

This study aims to analyze the influence of farmer characteristics, Ihsan attitude, economic conditions, and socio-cultural environmental support, and the number of family members on farmer behavior in meeting food needs in realizing household food security, with the role of the government as a moderator. This study is about the relationship between farmer behavior and their household food security. This research uses a quantitative research method involving 337 farmers from three villages located in three different sub-districts, namely Alang-alang village, Tragah sub-district, Mrecah village, Tanah Merah sub-district, and finally Gangsean village, Sepulu sub-district. The quantitative analysis approach consists of formulating problems, compiling models, obtaining data, finding solutions, testing solutions, analyzing results, and interpreting results. From the 7 hypotheses that were built, it was identified that there was 1 hypothesis that was not significant, namely the influence of the support of the socio-cultural environment on farmer behavior to meet the food needs of farmers' households. The attitude that is identified is still very rarely used in the context of agricultural human resources and at the same time is an inherent character of Madurese farmers which is an interesting part for researchers to study more deeply and become new or authentic in this research.

• Korean Security Journal
• /
• no.40
• /
• pp.35-56
• /
• 2014

The purpose of this study was aimed to identify the relationship between pursuit benefit and behavior by spectators participating security exhibition. The result of study is significant because it may provide more effective and aggressive marketing strategies to the future companies participating security exhibition, and suggest developmental direction by actively responding spectators' needs. The subject for this study was spectators who participating World Security Expo 2014 held three days from March 12 to 14 in 2014. 300 samples were selected by convenience sampling for subject of this study. 283 out of 300 surveys, excluded 17 unfaithful and defected surveys, were used for data analysis. Research tool was questionnaire which was based on and recomposed by previous researches home and abroad. The collected data were treated for analysis of frequency, reliability, factor analysis, correlation, and regression by using SPSS statistic package version of 18.0. Through the above research method and procedure, the results were as followings. First, the relationship between pursuit benefit and behavior after participating exhibition appeared positively. It was found that there was high relationship between pursuit benefit and behavior. Second, analyzing relationship of factors between pursuit benefit and behaviors resulted to effect information exploration, good use of spare time, and product purchase on word of mouth. Third, analyzing relationship of factors between pursuit benefit and behaviors resulted to effect good use of spare time, information exploration, and product purchase on re-participation.

• Convergence Security Journal
• /
• v.19 no.2
• /
• pp.39-46
• /
• 2019

Recently, information security accidents are becoming more advanced as social engineering attacks using new types of malicious codes such as phishing. Organizations have made various efforts to prevent information security incidents, but tend to rely on technical solutions. Nevertheless, not all security incidents can be prevented completely. In order to overcome the limitations of the information security approach that depends on these technologies, many researchers are increasingly interested in People-Centric Security. On the other hand, some researchers have applied behavioral economics to the information security field to understand human behavior and identify the consequences of the behavior. This study is a trend analysis study to grasp the recent research trend applying the concept and idea of behavioral economics to information security. We analyzed the research trends, research themes, research methodology, etc. As a result, the most part of previous research is focused on 'operational security' topics, and in the future, it is required to expand research themes and combine behavioral economics with security behavioral issues to identify frameworks and influencing factors.

• International Journal of Computer Science & Network Security
• /
• v.21 no.6
• /
• pp.312-318
• /
• 2021

Lack of knowledge and digital skills is a threat to the information security of the state and society, so the formation and development of organizational culture of information security is extremely important to manage this threat. The purpose of the article is to assess the state of information security of the state and society. The research methodology is based on a quantitative statistical analysis of the information security culture according to the EU-27 2019. The theoretical basis of the study is the theory of defense motivation (PMT), which involves predicting the individual negative consequences of certain events and the desire to minimize them, which determines the motive for protection. The results show the passive behavior of EU citizens in ensuring information security, which is confirmed by the low level of participation in trainings for the development of digital skills and mastery of basic or above basic overall digital skills 56% of the EU population with a deviation of 16%. High risks to information security in the context of damage to information assets, including software and databases, have been identified. Passive behavior of the population also involves the use of standard identification procedures when using the Internet (login, password, SMS). At the same time, 69% of EU citizens are aware of methods of tracking Internet activity and access control capabilities (denial of permission to use personal data, access to geographical location, profile or content on social networking sites or shared online storage, site security checks). Phishing and illegal acquisition of personal data are the biggest threats to EU citizens. It have been identified problems related to information security: restrictions on the purchase of products, Internet banking, provision of personal information, communication, etc. The practical value of this research is the possibility of applying the results in the development of programs of education, training and public awareness of security issues.

• The Journal of Korean Association of Computer Education
• /
• v.8 no.5
• /
• pp.31-41
• /
• 2005

The purpose of this study is to identify the determinants of planned behavior of adolescent, toward information security and cyber crime prevention. A survey methodology was used to investigate a proposed model of influence, and regression analysis was used to analyze the results. The hypothesized model was largely supported by this analysis, and the overall results indicate that the intention to actively participate in information security and cyber crime prevention is mostly influenced by the fear for cyber crime and the perceived usefulness of information security and cyber crime prevention activity. In addition, it was found that the perceived easy of use for information-security related ICT skill, fear for cyber crime, and social norm for information security influence the level of usefulness, but that the prior experience with information leaking was statistically insignificant factor to the level of usefulness and fear for crime. Useful suggestions for promoting information security and cyber crime prevention are also provided.

• Journal of the Korea Institute of Information Security & Cryptology
• /
• v.22 no.2
• /
• pp.225-238
• /
• 2012

Among the various security threats in online games, the use of game bots is the most serious problem. In this paper, we propose a framework for user behavior analysis for bot detection in online games. Specifically, we focus on party play that reflects the social activities of gamers: In a Massively Multi-user Online Role Playing Game (MMORPG), party play log includes a distinguished information that can classify game users under normal-user and abnormal-user. That is because the bot users' main activities target on the acquisition of cyber assets. Through a statistical analysis of user behaviors in game activity logs, we establish the threshold levels of the activities that allow us to identify game bots. Also, we build a knowledge base of detection rules based on this statistical analysis. We apply these rule reasoner to the sixth most popular online game in the world. As a result, we can detect game bot users with a high accuracy rate of 95.92%.