• Journal of the Korea Society of Computer and Information
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• v.26 no.12
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• pp.123-132
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• 2021

Malicious activities of Botnets are responsible for huge financial losses to Internet Service Providers, companies, governments and even home users. In this paper, we try to confirm the possibility of detecting botnet traffic by applying the deep learning model Convolutional Neural Network (CNN) using the CTU-13 botnet traffic dataset. In particular, we classify three classes, such as the C&C traffic between bots and C&C servers to detect C&C servers, traffic generated by bots other than C&C communication to detect bots, and normal traffic. Performance metrics were presented by accuracy, precision, recall, and F1 score on classifying both known and unknown botnet traffic. Moreover, we propose a stackable botnet detection system that can load modules for each botnet type considering scalability and operability on the real field.

• Korean Journal of Labor Studies
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• v.24 no.2
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• pp.137-179
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• 2018

To reduce labor market discrimination, there are lively discussions about the role of extant labor regime based on labor unions. It includes both the critical perspective on extant labor movement and the necessity of new actors for resolving discriminations within labor market. Among new actors, the present study focuses on contingent labor centers. Specifically, we have investigated on the development and identity of contingent labor centers as coalition of local government-labor organization. The core content of this study is to reconstruct the activities and strategies of contingent labor centers throughout the longitudinal approach. From many evidences, we can confirm that contingent labor centers have evolved via three phases such as differentiation, de- politicizing, and networks. This finding also provides insights about inside relationships between contingent labor centers and outside tensions between contingent labor center and extant labor organizations. We finally discuss on the theoretical implications of contingent labor center as new actor for contingent worker movement.

• Journal of Convergence for Information Technology
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• v.8 no.6
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• pp.143-148
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• 2018

In this paper, we propose a personalized user authentication system (PUAS) that can be used in multiple stages in user authentication by customizing the password keyword to be used in user authentication. The proposal concept is that the user oneself defines the password keyword to be used in user authentication so as to cope with a passive retransmission attack which reuses the password obtained when the server system is accessed in user authentication. The authentication phase is also designed so that it can be expanded in multiple stages in a single step. Also, it is designed to store user-defined password related information in an arbitrary encrypted place in the system, thereby designing to disable the illegal access of the network. Therefore, even if an intruder accesses the system using the proposed system, it is possible to generate personal authentication information by generating a password keyword through unique personal information possessed only by an individual and not know the place where the generated authentication information is stored, It has a strong security characteristic.

• Journal of the Korean BIBLIA Society for library and Information Science
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• v.30 no.2
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• pp.33-50
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• 2019

Cataloging principles, cataloging rules, and encoding formats should considered LRM acceptance because LRM replaced FRBR as the conceptual model. This study identifies considerations for BIBFRAME acceptance of expression and representative expression attributes in LRM by using literature reviews and expert interviews. Primarily, work in BIBFRAME without expression as entity could map to work and expression of LRM and sustain expression by linking 2 works (work and expression). Second, BIBFRAME must consider association between representative expression attributes and specific expressions whose values can be transferred to the representative expression attributes. Third, representative expression attributes are different according to work types in LRM, and language, media, intended audience, and scale, that can be used as representative expression attributes in BIBFRAME, should be changed in class. Fourth, relation properties should be articulated for expanding networks between expressions originated from work in BIBFRAME. This study analyzes LRM and BIBFRAME by focusing on expression entity and representative expression attributes. More LRM study is needed on cataloging principles and cataloging rules.

• KIPS Transactions on Computer and Communication Systems
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• v.7 no.11
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• pp.269-274
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• 2018

MMORPG is a role-playing game that tens of thousands of people access it online at the same time. Users connect to the server through the game client and play with their own characters. If the user moves to a management area of another server beyond the area managed by the server, the user information must be transmitted to the server to be moved. In an actual game, the user is required to synchronize the established and the transferred information. In this paper, we propose a migration agent server in the virtual systems. We implement a seamless virtual server using the grid method to experiment with seamless server architecture for virtual systems. We propose a method to minimize the delay and equalize the load when the user moves to another server region in the virtual environment. Migration Agent acts as a cache server to reduce response time, the response time was reduced by 50% in the case of 70,000 people.

• Journal of Korean Library and Information Science Society
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• v.49 no.4
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• pp.119-145
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• 2018

The purpose of this study is to select a specialized topic that meets the needs of the local contents and the local people, based on this, the study develops practical guidelines for operating specialized libraries. For this purpose, forty-three libraries in domestic and foreign were selected to derive their implications by surveying the specialized libraries building process, regional characteristics, specialized books, budget, personnel, network, facilities, environment, programs, and publicity. Based on the suggestions reached, we proposed four stages of operation guidelines: the preparation stage for establishing a system to support specialized services and selecting regional specific topics, the stage for the establishment of the library environment in order to serve the selected specialized subjects, the operational stage of planning and providing information complex cultural services related to specialized subjects, and the diffusion stage that communicates with external institutions of the library for upgrading and expanding services.

• Journal of IKEEE
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• v.23 no.2
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• pp.508-516
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• 2019

Smart home with various IoT devices provides convenient and efficient services. However, security is important because sensitive information such as private video and audio can be collected and processed, as well as shared over the Internet. To manage such smart home IoT devices, we use blockchain technology that provides data integrity and secure management. In this paper, we utilize a PoS(Proof of Stake) method that verifies the block through the accumulated stake in the network rather than the computation power, out of the PoW(Proof of Work) block chain, in which the computation for the existing verification must be continuously performed. Among them, we propose a blockchain based system with DPoS(Delegated Proof of Stake) method to actively solve the scalability part, for security that is suitable for smart home IoT environment. We implement the proposed system with DPoS based EOSIO to show realization, and we show performance improvement in terms of transaction processing speed.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.23 no.2
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• pp.139-148
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• 2019

The paper proposes an analytical framework for the impact of technical change on business model innovation. Based upon the examination of the relationship between the mission of business and technology, it introduces classification of technology-based business models such as problem-solving model, production model and network model, respectively employing intensive technology, interlinked technology and mediating technology as a key technology. The discussion of various cases of business model innovation shows that the impact of digital technology is first translated into the value generation in terms of efficiency or effectiveness. These new values then enable a new business model which is based on a different key technology through business model shift, expansion, unbundling, or platform. Quite often those business model changes involves system-wide innovation. The framework for the analysis of the impact of technical change on business model innovation is presented with directions for future research.

• Journal of Convergence for Information Technology
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• v.9 no.5
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• pp.27-33
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• 2019

Various technical and societal approaches are being made to realize the auto driving (AD) and cooperative driving (CD) including communication network and extended advanced driver support system is under development. In CD, it is important to share the roles of the driver and the system and to secure the stability of the driving, so a efficient interface scheme between the driver and the vehicle is required. This study proposes a research model including driver, system and driving environment considering the role and function of driver and system in CD. An efficient interface between the driver and the vehicle to cope with various driving situations on the CD using the analysis of the driving environment and the research model is also proposed. Through this study, it is expected that the proposed research model and interface scheme could contribute to CD system design, cockpit module development and interface device development.

• Journal of the Korea Convergence Society
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• v.11 no.12
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• pp.15-22
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• 2020

In this paper, we proposed a deep learning based super-resolution method that combines Channel Attention and Spatial Attention feature enhancement methods. It is important to restore high-frequency components, such as texture and features, that have large changes in surrounding pixels during super-resolution processing. We proposed a super-resolution method using feature enhancement that combines Channel Attention and Spatial Attention. The existing CNN (Convolutional Neural Network) based super-resolution method has difficulty in deep network learning and lacks emphasis on high frequency components, resulting in blurry contours and distortion. In order to solve the problem, we used an emphasis block that combines Channel Attention and Spatial Attention to which Skip Connection was applied, and a Residual Block. The emphasized feature map extracted by the method was extended through Sub-pixel Convolution to obtain the super resolution. As a result, about PSNR improved by 5%, SSIM improved by 3% compared with the conventional SRCNN, and by comparison with VDSR, about PSNR improved by 2% and SSIM improved by 1%.