• International Journal of Computer Science & Network Security
• /
• v.21 no.7
• /
• pp.119-124
• /
• 2021

Today, both sides of modern culture are decisively invaded by digitalization. Authentication is considered to be one of the main components in keeping this process secure. Cyber criminals are working hard in penetrating through the existing network channels to encounter malicious attacks. When it comes to enterprises, the company's information is a major asset. Question here arises is how to protect the vital information. This takes into account various aspects of a society often termed as hyper connected society including online communication, purchases, regulation of access rights and many more. In this research paper, we will discuss about the concepts of MFA and KBA, i.e., Multi-Factor Authentication and Knowledge Based Authentication. The purpose of MFA and KBA its utilization for human.to.everything..interactions, offering easy to be used and secured validation mechanism while having access to the service. In the research, we will also explore the existing yet evolving factor providers (sensors) used for authenticating a user. This is an important tool to protect data from malicious insiders and outsiders. Access Management main goal is to provide authorized users the right to use a service also preventing access to illegal users. Multiple techniques can be implemented to ensure access management. In this paper, we will discuss various techniques to ensure access management suitable for enterprises, primarily focusing/restricting our discussion to multifactor authentication. We will also highlight the role of knowledge-based authentication in multi factor authentication and how it can make enterprises data more secure from Cyber Attack. Lastly, we will also discuss about the future of MFA and KBA.

• The Journal of the Korea Contents Association
• /
• v.11 no.11
• /
• pp.364-377
• /
• 2011

This research aims at investigating the factors determining the success of knowledge management system(KMS) in research organizations. Based on the literature survey and the general framework of IS success model, a new comprehensive model which is customized to the context of KMS is proposed. Some organizational support factors and an individual personality variable that moderates the relationship between predictors and the success factors are also integrated to the new model. A proposed model was tested by the technique of structural equation modeling using survey data from the employees in research organization. The results revealed that KMS quality had the strongest impact on the KMS success measured by perceived usefulness and user satisfaction and KMS use. The moderating effect of an individual personality factor, organization-based self esteem is also founded in the research.

• Information Systems Review
• /
• v.12 no.1
• /
• pp.107-130
• /
• 2010

Knowledge management strategy is considered a key determinant of successful knowledge management. However, theoretical and empirical researchers disagree on how knowledge management strategies improve firms' performance. The inconsistent results of prior studies may be attributed to the fact that complementary relationships among knowledge management strategies have not been adequately taken into consideration. While the previous literature has focused on investigating the impact of knowledge sourcing strategies on firms' performance one-at-a-time, in reality firms adopt several different knowledge management strategies together. By drawing on complementarity theory, this study revisits this research problem and develops three complementarity hypotheses. Surveys collected from 139 firms in Korea were analyzed to test the hypotheses by using super modularity function. The results confirmed complementary relationships between system- and person-oriented, and between internal- and external-oriented knowledge management strategies. Our results found no complementarity among the four different knowledge management strategies. This study sheds new light on knowledge management research by developing a new conceptual framework and using advanced analytical approaches to explore the relationship between knowledge management strategies and firms' performance. Implications for practice highlight that a successful knowledge management strategy requires a judicious combination of system- and person-oriented, or of internal- and external-oriented knowledge management strategies.

• Journal of Technology Innovation
• /
• v.9 no.2
• /
• pp.77-97
• /
• 2001

The 21st century is not only the knowledge-based society but also the unifie era for Korea. It implies that Korea should prepare for the unification, especially in the area of knowledge, science, and technology. Under this background, this paper deals with how we can prepare for the unification of South and North Korea in science and technology (S&T) area. There have been no sufficient theoretical studies in this area. This paper, therefore, argues that regional innovation system, which has been developed since the beginning of the 1990s, could be effectively applied to the S&T cooperation and unification between both Koreas. It argues that regional innovation systems can formulate sectoral innovation systems effectively, which lead to a competent national innovation system. According to this study, South and North Korean regions have complementary sectoral innovation systems that could effectively cooperate with each other. Such S&T cooperation could make a great contribution to the S&T integration between two Koreas in the future. This paper argues, therefore, that S&T cooperation between two Koreas should target the unification of South and North Korean regional innovation systems. This paper names it as the unified national innovation system.

• Proceedings of the Korean Information Science Society Conference
• /
• 2005.07b
• /
• pp.673-675
• /
• 2005

The art psychotherapy expert system is a computer system which helps to analyse one's psychology through pictures. However we need a standard criterion because the psychology, the target of the art psychotherapy, does not only have a ambiguous criterion but also a vast range. We're going to suggest a criterion in the field of the art psychotherapy by constructing systematic database through knowledge acquirement of the art psychotherapy expert system. In this study we introduce a system which enables systematic classification and confirmation of symptoms according to mental analyses. The suggested system enables confirmation of a classical structure and systematic classification of knowledges through conversation by extracting nouns through sentence analysis from the knowledge of descriptive form based on the clinical purpose of sentence analysis.

• The Transactions of the Korea Information Processing Society
• /
• v.5 no.5
• /
• pp.1234-1245
• /
• 1998

This paper presents a multiagent system, based on the blackboard architecture and its mechanism of coordination and communication, developed for the collaboration of distributed heterogeneous software systems. The system provides the environment for the collaboration among pre-existing heterogeneous subsystems within the context of multimedia distance education application. The meta-knowledge for each agent is isolated in the global controller and the control knowledge and the problem-solving knowledge are clearly separated within the system. As a result, the coordination problem that typically found in the conventional distributed problem solving systems are greatly enhanced and the reusability of the pre-developed systems are improved.

• Journal of Institute of Control, Robotics and Systems
• /
• v.20 no.11
• /
• pp.1118-1124
• /
• 2014

This paper proposes a novel controller design scheme for multimachine power systems based on the explorized policy iteration. Power systems have several uncertainties on system dynamics due to the various effects of interconnections between generators. To solve this problem, the proposed method solves the LQR (Linear Quadratic Regulation) problem of isolated subsystems without the knowledge of a system matrix and the interconnection parameters of multimachine power systems. By selecting the proper performance indices, it guarantees the stability and convergence of the LQ optimal control. To implement the proposed scheme, the least squares based online method is also investigated in terms of PE (Persistency of Excitation), interconnection parameters and exploration signals. Finally, the performance and effectiveness of the proposed algorithm are demonstrated by numerical simulations of three-machine power systems with governor controllers.

• Journal of Intelligence and Information Systems
• /
• v.18 no.2
• /
• pp.1-17
• /
• 2012

The Smartphone, one of essential mobile devices widely used recently, can be very effectively applied to capture knowledge on the spot by jointly applying the pervasive functionality of cloud computing. The process of knowledge capturing can be also effectively automated if the topic of knowledge is automatically identified. Therefore, this paper suggests an interdisciplinary approach to automatically acquire knowledge on the spot by combining technologies of text mining-based topic identification and cloud computing-based Smartphone. The Smartphone is used not only as the recorder to record knowledge possessor's dialogue which plays the role of the knowledge source, but also as the sensor to collect knowledge possessor's context data which characterize specific situations surrounding him or her. The support vector machine, one of well-known outperforming text mining algorithms, is applied to extract the topic of knowledge. By relating the topic and context data, a business rule can be formulated, and by aggregating the rule, the topic, context data, and the dictated dialogue, a set of knowledge is automatically acquired.

• Korean Management Science Review
• /
• v.18 no.1
• /
• pp.135-145
• /
• 2001

In recent environment of dynamic management, there is growing recognition that information and knowledge management systems are essential for efficient/effective decision making by CEO. To cope with this situation, we suggest the Data-Miming scheme as a key component of integrated information and knowledge management system. The proposed system measures business performance by considering both VA(Value-Added), which represents stakeholder’s point of view and EVA (Economic Value-Added), which represents shareholder’s point of view. To mine the new information & Knowledge discovery, we applied the improved genetic algorithms that consider predictability, understandability (lucidity) and reasonability factors simultaneously, we use a linear combination model for GAs learning structure. Although this model’s predictability will be more decreased than non-linear model, this model can increase the knowledge’s understandability that is meaning of induced values. Moreover, we introduce a random variable scheme based on normal distribution for initial chromosomes in GAs, so we can expect to increase the knowledge’s reasonability that is degree of expert’s acceptability. the random variable scheme based on normal distribution uses statistical correlation/determination coefficient that is calculated with training data. To demonstrate the performance of the system, we conducted a case study using financial data of Korean automobile industry over 16 years from 1981 to 1996, which is taken from database of KISFAS (Korea Investors Services Financial Analysis System).

• Journal of the Korean Institute of Intelligent Systems
• /
• v.13 no.5
• /
• pp.505-511
• /
• 2003

Production rule based knowledge representation method has many advantages, but has the difficulties in maintaining the consistency of knowledge. Since the consistency maintenance of knowledge exercises a marked effect on the reliability of inference results, the system for consistency maintenance of knowledge is indispensable to increase the reliability. In the most popular pairwise checking method among consistency verification methods, the valuable rules can be omitted and it takes much time in checking the consistency when the rules are numerous. So, this paper is to propose and implement the verification system which can remove the structural errors and semantic ones, making up for the defects of pairwise checking method by using the certain property list and eventual property list and improving the steps of verification.