• Journal of the Korea Academia-Industrial cooperation Society
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• v.21 no.9
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• pp.634-642
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• 2020

With the proliferation of Internet of Things (IoT) devices, using the Linux operating system in various architectures has increased. Also, security threats against Linux-based IoT devices are increasing, and malware variants based on existing malware are constantly appearing. In this paper, we propose a system where the binary data of a visualized Executable and Linkable Format (ELF) file is applied to Local Binary Pattern (LBP) image processing techniques and a median filter to classify malware in a Convolutional Neural Network (CNN). As a result, the original image showed the highest accuracy and F1-score at 98.77%, and reproducibility also showed the highest score at 98.55%. For the median filter, the highest precision was 99.19%, and the lowest false positive rate was 0.008%. Using the LBP technique confirmed that the overall result was lower than putting the original ELF file through the median filter. When the results of putting the original file through image processing techniques were classified by majority, it was confirmed that the accuracy, precision, F1-score, and false positive rate were better than putting the original file through the median filter. In the future, the proposed system will be used to classify malware families or add other image processing techniques to improve the accuracy of majority vote classification. Or maybe we mean "the use of Linux O/S distributions for various architectures has increased" instead? If not, please rephrase as intended.

• The Journal of Industrial Distribution & Business
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• v.9 no.6
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• pp.77-85
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• 2018

Purpose - The purpose of this study is to subdivide trade transaction-centered structure in a logistics/distribution industry system to apply blockchain, to establish and resolve with which types of technology, and to provide policy direction of government institution and technology to apply blockchain in this kind of industry. Research design, data, and methodology - This study was conducted with previous researches centered on cases applied in various industry sectors on the basis of blockchain technology. Results - General fields of blockchain application include digital contents distribution, IoT platform, e-Commerce, real-estate transaction, decentralized app. development(storage), certification service, smart contract, P2P network infrastructure, publication/storage of public documents, smart voting, money exchange, payment/settlement, banking security platform, actual asset storage, stock transaction and crowd funding. Blockchain is being applied in various fields home and abroad and its application cases can be explained in the banking industry, public sector, e-Commerce, medical industry, distribution and supply chain management, copyright protection. As examined in the blockchain application cases, it is expected to establish blockchain that can secure safety through distributed ledger in trade transaction because blockchain is established and applied in various sectors of industries home and abroad. Parties concerned of trade transaction can secure visibility even in interrupted specific section when they provide it as a base for distributed ledger application in trade and establish trade transaction model by applying blockchain. In case of interrupted specific section by using distributed ledger, blockchain model of trade transaction needs to be formed to make it possible for parties concerned involved in trade transaction to secure visibility and real-time tracking. Additionally, management should be possible from the time of contract until payment, freight transfer to buyers through land, air and maritime transportation. Conclusions - In order to boost blockchain-based logistics/distribution industry, the government, institutionally, needs to back up adding legal plan of shipping, logistics and distribution, reviewing standardization of electronic switching system and coming up with blockchain-based industrial road maps. In addition, the government, technologically, has to support R&D for integration with other high technology, standardization of distribution industry's blockchain technology and manpower training to expand technology development.

• The Journal of the Korea Contents Association
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• v.15 no.6
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• pp.13-23
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• 2015

A study on the 'FUN' of TV reality audition programs. "Why are the audience so enthusiastic about the survival audition programs?" "What fun do the audition program audience have?" In order to find the answers for such questions, this study applied 'the 4-step fun evolving model' and thereby, categorized audience's fun-seeking behavioral modes, and therewith, examined how such fun-seeking behavioral modes would change by step over time. As a result, it was found that the audition program audience had faithfully followed the 4 fun types (watching, having, doing and becoming), and that their fun-seeking behavioral modes had changed by step over time in SBS "K-POP START" (Season 3) in 2013. Such findings suggest that the audition program fans accommodated 'the fun evolving model.' Their step of 'watching' evolved gradually into the step of 'having' both on-line and off-line (support of participants/malicious or good-will replies, participation in blogs/twitters, photo materials collection activities) and that of 'doing' (application for the jury group, organization of fan club, crazy fan activities, participation in phone voting, etc.), while increasing their fun.

• The Journal of the Korea Contents Association
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• v.17 no.1
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• pp.426-435
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• 2017

Since online betting occurs on online where anybody can access through internet, thus, the online gambling market has been expanding. Domestic illegal gambling market size is 4 times bigger than that of legal gambling market, and illegal online betting market is rapidly growing as well. Currently online gambling does exist domestically in form of Sports promotion voting rights, also known as, Toto and Proto and internet lottery. However, the need for other types of online gambling to be permitted, expanded and managed has been suggested. This research has analyzed online gambling users, online gambling addicts and general population's awareness on expansion and operation of online gambling, contraction measures of illegal online gambling and operation measures in case of permitted expansion of online gambling. The result of this research's analysis showed that each group has significantly different awareness level on positive and negative effects of permitting online gambling's expansion. Also, it showed that each group has significantly different awareness on permitting expansion of racing betting as a legal gambling item. Since it is the proven fact that illegal online gambling users could turn into legal users and that users could use the service more positively if online gambling is legalized through allowance and expansion process; one could expect the positive effects from permitting expansion of online gambling.

• Journal of Digital Convergence
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• v.18 no.3
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• pp.23-34
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• 2020

This study aims to verify the mediating effect of mobile social participation on the relationship between the mobile device capability and life satisfaction. Using the data of 2018 Digital Divide Survey conducted by the National Information Society Agency(NIA), the mediating effect was verified by Baron & Kenny (1986)'s 3 step process, targeting 1,665 middle and older aged adults. The result is as follows: first, the mobile device capability of the middle and older aged people has a positive effect on life satisfaction. Second, the effect of the mobile device capability of middle and older aged people on life satisfaction is partially mediated by mobile social participation including expressing opinions on social concerns, proposing policies and filing a civil complaint, donation and volunteering work and online voting and responding to a poll. The result represents that the mobile device, such as a smart phone or a smart pad, capability of the middle and older aged group not only directly benefits the group but also helps expand their mobile social participation, which leads to, although indirectly, higher life satisfaction. Therefore, the study is expected to be a groundwork for a practical intervention for enlarging the use of mobile device and lifting digital information level of the elderly to encourage mobile social participation and drive life satisfaction.

• The KIPS Transactions:PartD
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• v.8D no.5
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• pp.523-532
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• 2001

An atomic commitment protocol ensures that distributed transcations terminate consistently at participating sites. An atomic commitment protocol is said to be non-blocking if it permits transaction termination to proceed at correct participants despite of failure in the coordinator site and communication. It is well known that the famous two phase commit(2PC) is a blocking protocol, whereas the three phase commit(3PC) protocol is a non-blocking. In this paper, we propose a non-blocking two phase commit(NB-2PC) protocol reducing the blocking problem than propose non-blocking protocols. The NB-2PC protocol can be obtained through modifications of the 2PC protocol. After receiving Prepare message from coordinator in the NB-2PC protocol, participants respond to the coordinator and several participants in voting phase. While participants wait for decision message from the coordinator, the blocking occurs due to the failure of the coordinator site, participants elect new coordinator among several participants receive response message. Despite of the coordinator site failures, participants consult new coordinator and follow termination protocols and achieve non-blocking property. We propose a basic structure of NB-2PC protocol and termination protocol and new coordinator election protocol. The NB-2PC protocol has non-blocking property and reduces processing time of commit protocol than the 3PC protocol. Also, through simulation experiments, we propose the NB-2PC protocol exhibits better performance of processing time of commit protocol than 3PC protocol.

• Journal of the Korea Society of Computer and Information
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• v.21 no.6
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• pp.9-19
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• 2016

In finance literature, stock liquidity showing how stocks can be cashed out in the market has received rich attentions from both academicians and practitioners. The reasons are plenty. First, it is known that stock liquidity affects significantly asset pricing. Second, macroeconomic announcements influence liquidity in the stock market. Therefore, stock liquidity itself affects investors' decision and managers' decision as well. Though there exist a great deal of literature about stock liquidity in finance literature, it is quite clear that there are no studies attempting to investigate the stock liquidity issue as one of decision making problems. In finance literature, most of stock liquidity studies had dealt with limited views such as how much it influences stock price, which variables are associated with describing the stock liquidity significantly, etc. However, this paper posits that stock liquidity issue may become a serious decision-making problem, and then be handled by using data mining techniques to estimate its future extent with statistical validity. In this sense, we collected financial data set from a number of manufacturing companies listed in KRX (Korea Exchange) during the period of 2010 to 2013. The reason why we selected dataset from 2010 was to avoid the after-shocks of financial crisis that occurred in 2008. We used Fn-GuidPro system to gather total 5,700 financial data set. Stock liquidity measure was computed by the procedures proposed by Amihud (2002) which is known to show best metrics for showing relationship with daily return. We applied five data mining techniques (or classifiers) such as Bayesian network, support vector machine (SVM), decision tree, neural network, and ensemble method. Bayesian networks include GBN (General Bayesian Network), NBN (Naive BN), TAN (Tree Augmented NBN). Decision tree uses CART and C4.5. Regression result was used as a benchmarking performance. Ensemble method uses two types-integration of two classifiers, and three classifiers. Ensemble method is based on voting for the sake of integrating classifiers. Among the single classifiers, CART showed best performance with 48.2%, compared with 37.18% by regression. Among the ensemble methods, the result from integrating TAN, CART, and SVM was best with 49.25%. Through the additional analysis in individual industries, those relatively stabilized industries like electronic appliances, wholesale & retailing, woods, leather-bags-shoes showed better performance over 50%.

• Journal of the Korean Data Analysis Society
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• v.20 no.6
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• pp.2873-2881
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• 2018

It is very important to obtain objective and credible information through election polls in order to contribute to the correct voting behavior of the voters or to establish appropriate election strategies for candidates or political parties. Therefore, many related organizations such as political parties, media organizations, and research institutions have been making efforts to improve the accuracy of the results of the polls and the election prediction. Kim et al. (2017) analyzed whether the non-response group responded that there is no support candidate in the election survey to increase the accuracy of the estimation of the vote rate. As a result, it has been confirmed that the accuracy of the estimation of the vote rate can be significantly improved by performing an appropriate classification on the non-response layer. In this study, we propose a method to estimate the turnout by each strata (sex, age group) under the condition that the total turnout rate is given for a specific district (region) and propose a procedure to predict the vote rate by reflecting the turnout. In addition, case studies were conducted using data gathered through telephone interviews for the 20th National Assembly elections in 2016.

• Journal of the Korea Society of Computer and Information
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• v.26 no.2
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• pp.141-150
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• 2021

Article 117, Paragraph 1 of the 「Constitution」 states that "Local governments may enact provisions relating to local autonomy, within the limit of Acts and subordinate statutes". It restricts the enactment of effective self-government laws. The fundamental problem-solving is securing the right to self-governing legislation through constitutional amendment. Therefore, it must be revised to "Local governments can make regulations on self-government to the extent that they handle resident welfare affairs in accordance with the subsidiarity and do not violate the law." In the long-term perspective, the current education council problem, which is contrary to the constitution, has to be revived as a constitutional independent education committee system, and the voting agency and the executive agency must go together and education councilors must have about 10 years of experience in education and education administration. The current superintendent's election system is of great significance in establishing democratic legitimacy by ensuring residents' right to vote and securing a superintendent's representation of residents. It hasn't been long since the system was implemented, but there are some side effects and it is argued that the election system should be replaced by the appointment by the head of the local government, the running mate system or the joint registration system. However it is thought that it is necessary to minimize and supplement the side effects rather than fixing the system as it violates the Constitution of the local education autonomy system.

• Korean Journal of Legislative Studies
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• v.24 no.1
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• pp.135-170
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• 2018

The recent success of populist parties and candidates in the US and European countries leads to a massive amount of empirical research on populism, a deviant form of representative democracy. Much ink has been spilled to define populism and to identify the causes of its rise and continued success in democratic political system. However, little is known about populist attitudes of individual voters. Using a large-scale online survey fielded in the context of the South Korean presidential election in 2017, this study examines (1) what determines populist attitudes of South Korean voters and (2) how populist attitudes are associated with evaluations of political parties, candidates, and political issues. Statistical analysis reveals that people high on populism are more likely to support an underdog left-wing political party and its presidential candidate, and are less likely to support policies implemented or proposed under the auspices of the Park Geun-hye administration. These findings do not necessarily suggest the inherent affinity between populism and left-wing ideology; rather, it implies populist attitudes happened to appear in 2017, in reactions to lack of confidence in the previous government.