• Journal of Intelligence and Information Systems
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• v.17 no.4
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• pp.157-173
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• 2011

As the Internet use explodes recently, the malicious attacks and hacking for a system connected to network occur frequently. This means the fatal damage can be caused by these intrusions in the government agency, public office, and company operating various systems. For such reasons, there are growing interests and demand about the intrusion detection systems (IDS)-the security systems for detecting, identifying and responding to unauthorized or abnormal activities appropriately. The intrusion detection models that have been applied in conventional IDS are generally designed by modeling the experts' implicit knowledge on the network intrusions or the hackers' abnormal behaviors. These kinds of intrusion detection models perform well under the normal situations. However, they show poor performance when they meet a new or unknown pattern of the network attacks. For this reason, several recent studies try to adopt various artificial intelligence techniques, which can proactively respond to the unknown threats. Especially, artificial neural networks (ANNs) have popularly been applied in the prior studies because of its superior prediction accuracy. However, ANNs have some intrinsic limitations such as the risk of overfitting, the requirement of the large sample size, and the lack of understanding the prediction process (i.e. black box theory). As a result, the most recent studies on IDS have started to adopt support vector machine (SVM), the classification technique that is more stable and powerful compared to ANNs. SVM is known as a relatively high predictive power and generalization capability. Under this background, this study proposes a novel intelligent intrusion detection model that uses SVM as the classification model in order to improve the predictive ability of IDS. Also, our model is designed to consider the asymmetric error cost by optimizing the classification threshold. Generally, there are two common forms of errors in intrusion detection. The first error type is the False-Positive Error (FPE). In the case of FPE, the wrong judgment on it may result in the unnecessary fixation. The second error type is the False-Negative Error (FNE) that mainly misjudges the malware of the program as normal. Compared to FPE, FNE is more fatal. Thus, when considering total cost of misclassification in IDS, it is more reasonable to assign heavier weights on FNE rather than FPE. Therefore, we designed our proposed intrusion detection model to optimize the classification threshold in order to minimize the total misclassification cost. In this case, conventional SVM cannot be applied because it is designed to generate discrete output (i.e. a class). To resolve this problem, we used the revised SVM technique proposed by Platt(2000), which is able to generate the probability estimate. To validate the practical applicability of our model, we applied it to the real-world dataset for network intrusion detection. The experimental dataset was collected from the IDS sensor of an official institution in Korea from January to June 2010. We collected 15,000 log data in total, and selected 1,000 samples from them by using random sampling method. In addition, the SVM model was compared with the logistic regression (LOGIT), decision trees (DT), and ANN to confirm the superiority of the proposed model. LOGIT and DT was experimented using PASW Statistics v18.0, and ANN was experimented using Neuroshell 4.0. For SVM, LIBSVM v2.90-a freeware for training SVM classifier-was used. Empirical results showed that our proposed model based on SVM outperformed all the other comparative models in detecting network intrusions from the accuracy perspective. They also showed that our model reduced the total misclassification cost compared to the ANN-based intrusion detection model. As a result, it is expected that the intrusion detection model proposed in this paper would not only enhance the performance of IDS, but also lead to better management of FNE.

• Journal of KIISE:Computer Systems and Theory
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• v.35 no.1
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• pp.18-29
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• 2008

NAND Flash memory has been growing popular storage device for the last years because of its low power consumption, fast access speed, shock resistance and light weight properties. However, it has the distinct characteristics such as erase-before-write architecture, asymmetric read/write/erase speed, and the limitation on the number of erasure per block. Due to these limitations, various Flash Translation Layers (FTLs) have been proposed to effectively use NAND flash memory. The systems that adopted the conventional FTL may result in severe performance degradation by the hot data which are frequently requested data for overwrite in the same logical address. In this paper, we propose a novel FTL algorithm called Adaptive Flash Translation Layer (AFTL) which uses sector mapping method for hot data and log-based block mapping method for cold data. Our system removes the redundant write operations and the erase operations by the separating hot data from cold data. Moreover, the read performance is enhanced according to sector translation that tends to use a few read operations. A series of experiments was organized to inspect the performance of the proposed method, and they show very impressive results.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.19 no.2
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• pp.405-412
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• 2018

The budget is an essential tool for the systematic management of the organizational performance and for diagnosing the status of an organization. Effective budget execution is important to hospital management due to the nonprofit nature of hospitals. On the other hand, there are few studies regarding the budgetary slack of hospitals in Korea. The purpose of this study was to investigate the effects of the university hospital budgeting system characteristics on the budgetary slack. For this purpose, the data from 118 staff of a university hospital located in Seoul were collected by self-administered surveys. Frequency analysis, correlation analysis, and multiple regression analysis were carried out using Stata Ver. 14. The main results of this study were as follows. First, information asymmetry has a positive influence on the budgetary slack. Second, budget feedback and budget motivation have a negative effect on the budgetary slack. These findings suggest that the sharing of budget-related information among hospital staff is important for efficient hospital management. In addition, it is necessary to establish ways to enhance the feedback and motivation in budgetary activities for managing the budgetary slack systematically. The major strength of this study is that it draws attention to research concerning the budgetary slack of hospitals in the absence of research on the budgetary slack. The significance of this study was to provide an empirical basis for improving the efficiency of hospital management.

• The KIPS Transactions:PartA
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• v.18A no.4
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• pp.135-142
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• 2011

This research is to design an effective buffer structure and its management for flash memory based high performance SSDs (Solid State Disks). Specifically conventional SSDs tend to show asymmetrical performance in read and /write operations, in addition to a limited number of erase operations. To minimize the number of erase operations and write latency, the degree of interleaving levels over multiple flash memory chips should be maximized. Thus, to increase the interleaving effect, an effective buffer structure is proposed for the SSD with a hybrid address mapping scheme and super-block management. The proposed buffer operation is designed to provide performance improvement and enhanced flash memory life cycle. Also its management is based on a new selection scheme to determine random and sequential accesses, depending on execution characteristics, and a method to enhance the size of sequential access unit by aggressive merging. Experiments show that a newly developed mapping table under the MBA is more efficient than the basic simple management in terms of maintenance and performance. The overall performance is increased by around 35% in comparison with the basic simple management.

• Journal of the Korea Academia-Industrial cooperation Society
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• v.17 no.4
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• pp.615-621
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• 2016

This study examines whether there is agency cost in a public R&D subsidy program by applying agency theory. If there is agency cost, the composition ratio of the government subsidy and the firm's own R&D fund would have a significant (-) effect on technological performance. Companies that received a public R&D subsidy in Korea from 2000 to 2009 were selected as a sample. Frequency analysis and multiple regression analysis were used. The independent variables was the ratio of public R&D subsidy cost to the Firm's own R&D cost, and the dependent variables were the number of patent applications and the number of patents registered. The control variables were firm size and R&D cost. The results show that there are agency problems in the government-sponsored R&D system. A future study is needed to examine how much agency problems deteriorate the efficiency of the system.

• Journal of Digital Convergence
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• v.13 no.2
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• pp.105-113
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• 2015

If the watchdog role of good corporate governance, corporate executives and reduce agency costs and information asymmetries. Corporate governance score higher because enterprise internal control systems and financial reporting system is well equipped with the company management is enabled and corporate performance is higher because the high financial credit rating. Under these assumptions and hypotheses set up this study corporate governance (CGI) has been studied demonstrated how the financial impact on the credit rating (CFR). Findings,

relevant corporate governance (CGI) and financial credit rating was found to significantly affect the positive (+), Regression coefficient code is expected code of positive (+), the value

indicated by the value of all positive. The results of corporate governance (CGI) has showed excellent results, such as the more predictable will increase the credit score financial rating. The results of this study will have more CGI-credit financial rating the greater good. This study might be expected to provide a useful guide that corporate social responsibility, the company with a good governance and oversight systems enable to to get a higher credit rating in practice and research.

• Korean journal of communication and information
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• v.71
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• pp.274-298
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• 2015

Doctoral Candidate, Department of Communication, Pusan National University This study analyzed the political and social significance of the disaster accident news with the frame and bias concept. In particular, this study confirmed theoretically how domestic media biased frame when it presents problem definition, causing interpretation, moral evaluation, and post-prescription on the ferry Sewol accident, In addition, the bias of the frame was analyzed comparing what is the difference between the conservative newspapers and liberal newspapers. Findings are as follows. First, in diagnosis of ferry Sewol accident, news slanted fragmentation frame>personalization frame>authority-disorder frame. The Chosun Ilbo focus on fragmentation bias, meanwhile Hankyoreh focus on the authority disorder relatively. Second, in accident evaluation, responsibility frame> moral frame> problem-solution frame. The Chosun Ilbo focus on responsibility frame and moral frame. But Hankyoreh focus on responsibility frame and problem-solution frame. Third, in the matter of responsibility, government frame>personal frame>organizational frame. Chosun Ilbo biased responsibility of the government and individuals, while the Hankyoreh is relatively more emphasis on government responsibility and the responsibility of the organization also showed. Fourth, in problem solving, thematic frame and episodic frame bias appeared as rough and level. Chosun Ilbo showed episodic frame, Hankyoreh showed thematic frame. News frame and bias as well as ideological differences of media on ferry Sewol accident was discussed in the context of the social dimension.

• Management & Information Systems Review
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• v.32 no.1
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• pp.259-272
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• 2013

This Paper document that managers' cash compensation is more sensitive to negative stock return than positive stock return. Also, this paper analyse that managers' cash compensation react symmetrically to accounting earnings and losses. Since stock returns include both unrealized gains and unrealized losses, we expect managers' cash compensation to be less sensitive to stock returns when returns contain unrealized gains(positive returns) than when returns contain unrealized losses(negative returns). But accounting earnings exclude unrealized gains and include unrealized losses, so managers' cash compensation will react symmetrically to accounting earnings and losses. Analyzing 5,815 firm-year data for 2000-2011, we find that managers' cash compensation reacts asymmetrically to stock retruns whereas managers' cash compensation reacts symmetrically to accounting performance. This finding is consistent with boards of directors seeking to mitigate ex post settling up problem that would arise of managers' cash compensation was equally sensitive to positive and negative stock return.

• Journal of Internet Computing and Services
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• v.16 no.5
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• pp.19-27
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• 2015

Due to the advantages of fast read/write operation and low power consumption, SSD(Solid State Drive) is now widely adopted as storage device of smart phone, laptop computer, server, etc. However, the shortcomings of SSD such as limited number of write operations and asymmetric read/write operation lead to the problem of shortened life span of SSD. Therefore, the block replacement policy of SSD used as cache for HDD is very important. The existing solutions for improving the lifespan of SSD including the LARC scheme typically employ the LRU algorithm to manage the SSD blocks, which may increase the miss rate in SSD due to the replacement of frequently used block instead of rarely used block. In this paper we propose a novel block replacement scheme which considers the block reuse interval to effectively handle various data read/write patterns. The proposed scheme replaces the block in SSD based on the recency decided by reuse interval and age along with hit ratio. Computer simulation using workload trace files reveals that the proposed scheme consistently improves the performance and lifespan of SSD by increasing the hit ratio and decreasing the number of write operations compared to the existing schemes including LARC.

• Journal of the Korea Institute of Information and Communication Engineering
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• v.15 no.3
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• pp.645-653
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• 2011

The aim of this study was to develop a Pulsed Magnetic Fields(PMFs) system which can produce effects locally and simulate muscular tissues equally. To evaluate the PMFs system we caused DOMS(Delayed Onset Muscle Soreness) to subjects in biceps of the arm. Then, we stimulated acupoint HT2 using PMFs(20 minutes) and TEAS(20 minutes) for 2 days. The other subjects did not stimulate. Then we checked body surface temperature in biceps of the arm. All subjects had an asymmetrical body surface temperature in biceps after exercise(Non-stimulation group=$2.00{\pm}1.16^{\circ}C$, TEAS group=$1.73{\pm}0.52^{\circ}C$, PMFs group=$1.48{\pm}0.51^{\circ}C$). After 1st stimulation all subjects had decreased temperature differences(Non-stimulation group=$1.37{\pm}0.71^{\circ}C$, TEAS group=$1.08{\pm}0.43^{\circ}C$, PMFs group=$1.23{\pm}0.15^{\circ}C$). PMFs group had a symmetry body surface temperature after 24 hours($0.05{\pm}0.06^{\circ}C$) and TEAS group had that after 48 hours($0.1{\pm}0.08^{\circ}C$). Non-stimulation group did not recovery after 48 hours($0.37{\pm}0.06^{\circ}C$). Therefore, PMFs on acupoint had an therapeutic effect in DOMS.