• Title/Summary/Keyword: 로그 처리

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IDS Model using Improved Bayesian Network to improve the Intrusion Detection Rate (베이지안 네트워크 개선을 통한 탐지율 향상의 IDS 모델)

  • Choi, Bomin;Lee, Jungsik;Han, Myung-Mook
    • Journal of the Korean Institute of Intelligent Systems
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    • v.24 no.5
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    • pp.495-503
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    • 2014
  • In recent days, a study of the intrusion detection system collecting and analyzing network data, packet or logs, has been actively performed to response the network threats in computer security fields. In particular, Bayesian network has advantage of the inference functionality which can infer with only some of provided data, so studies of the intrusion system based on Bayesian network have been conducted in the prior. However, there were some limitations to calculate high detection performance because it didn't consider the problems as like complexity of the relation among network packets or continuos input data processing. Therefore, in this paper we proposed two methodologies based on K-menas clustering to improve detection rate by reforming the problems of prior models. At first, it can be improved by sophisticatedly setting interval range of nodes based on K-means clustering. And for the second, it can be improved by calculating robust CPT through applying weighted-leaning based on K-means clustering, too. We conducted the experiments to prove performance of our proposed methodologies by comparing K_WTAN_EM applied to proposed two methodologies with prior models. As the results of experiment, the detection rate of proposed model is higher about 7.78% than existing NBN(Naive Bayesian Network) IDS model, and is higher about 5.24% than TAN(Tree Augmented Bayesian Network) IDS mode and then we could prove excellence our proposing ideas.

Simple Credit Card Payment Protocols Based on SSL and Passwords (SSL과 패스워드 기반의 신용카드 간편결제 프로토콜)

  • Kim, Seon Beom;Kim, Min Gyu;Park, Jong Hwan
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.26 no.3
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    • pp.563-572
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    • 2016
  • Recently, a plenty of credit card payment protocols have been proposed in Korea. Several features of proposed protocols include: using passwords for user authentication in stead of official certificate for authenticity, and no need to download additional security module via ActiveX into user's devices. In this paper, we suggest two new credit card payment protocols that use both SSL(Security Socket Layer) as a standardized secure transaction protocol and password authentication to perform online shopping and payment. The first one is for the case where online shopping mall is different from PG(Payment Gateway) and can be compared to PayPal-based payment methods, and the second one is for the case where online shopping mall is the same as PG and thus can be compared to Amazon-like methods. Two proposed protocols do not require users to perform any pre-registration process which is separate from an underlying shopping process, instead users can perform both shopping and payment into a single process in a convenient way. Also, users are asked to input a distinct payment password, which increases the level of security in the payment protocols. We believe that two proposed protocols can help readers to better understand the recent payment protocols that are suggested by various vendors, and to analyze the security of their payment protocols.

The Correlation between Groundwater Level and GOI with Snowmelt Effect in Ssangchun Watershed (쌍천유역의 지하수위와 융설 효과를 고려한 GOI의 상괸관계)

  • Yang, Jeong-Seok;Lim, Chang-Hwa;Park, Jae-Hyeon;Park, Chang-Kun
    • Journal of Korea Water Resources Association
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    • v.39 no.2 s.163
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    • pp.121-126
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    • 2006
  • Snowmelt effect is identified from the analysis of the relationship between precipitation and groundwater level(GWL) data and Severe drawdown of GWL is observed in drought. Groundwater dam Operation Index (GOI), which is developed for the optimal operation of groundwater dam, is calculated by taking common logarithm of the moving average(MA) of precipitation data for a certain period. The period can vary from watershed to watershed because the period is decided by picking the maximum correlation coefficient between GWL and GOI of several MAs of precipitation. For Ssangchun watershed, the correlation was the strongest when we apply 70 day MA for GOI calculation. Snowmelt effect is considered by applying the temperature change by elevation($0.5^{\circ}C$ decrease per 100m) and examining the areal distribution of the watershed by elevation. Snow event is assumed when the daily average temperature is below $0^{\circ}C$ and snowmelt is assumed when the temperature is above zero degree Celsius. Total snowmelt is assumed for the day. When the snow event is occurred the precipitation data is separated into two components, snow and rainfall. The areal distribution by elevation is used for the calculation in the separation. The correlation between GWL and GOI is higher when we consider snowmelt effect than we neglected it.

Design of a Policy-based Security Mechanism for the Secure Grid Applications (안전한 그리드 응용을 위한 정책기반의 보안 기능 설계)

  • Cho, Young-Bok;You, Mi-Kyung;Lee, Sang-Ho
    • Journal of the Korea Academia-Industrial cooperation Society
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    • v.12 no.2
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    • pp.901-908
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    • 2011
  • For the available grid environmental realization, the resource supply PC must have to provide an appropriate security function of their operation environments. SKY@HOME is a kind of the grid computing environments. If this has not supervised by administrator handling smoothly, it is inherently vulnerable state to the security level of the grid environments, because the resource supply PC is not update a security function without delay. It is also have the troublesome problems which have to install of an additional security program for support the appropriate security. This paper proposes an integration security model on the policy-based that provides an update each level according to the situation of the resource supply PC for improving its problems as a security aspect of the SKY@HOME. This model analyzes the security state of the resource supply PC respectively, and then the result is available to provide an appropriate security of the resource supply PC using an integration security model. The proposed model is not need additionally to buy and install the software, because it is provided the security management server oriented service. It is also able to set up the suit security function of a characteristic of the each resource supply PC. As a result, this paper clearly show the participation of resource supply PC improved about 20%.

Predicting Program Code Changes Using a CNN Model (CNN 모델을 이용한 프로그램 코드 변경 예측)

  • Kim, Dong Kwan
    • Journal of the Korea Convergence Society
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    • v.12 no.9
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    • pp.11-19
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    • 2021
  • A software system is required to change during its life cycle due to various requirements such as adding functionalities, fixing bugs, and adjusting to new computing environments. Such program code modification should be considered as carefully as a new system development becase unexpected software errors could be introduced. In addition, when reusing open source programs, we can expect higher quality software if code changes of the open source program are predicted in advance. This paper proposes a Convolutional Neural Network (CNN)-based deep learning model to predict source code changes. In this paper, the prediction of code changes is considered as a kind of a binary classification problem in deep learning and labeled datasets are used for supervised learning. Java projects and code change logs are collected from GitHub for training and testing datasets. Software metrics are computed from the collected Java source code and they are used as input data for the proposed model to detect code changes. The performance of the proposed model has been measured by using evaluation metrics such as precision, recall, F1-score, and accuracy. The experimental results show the proposed CNN model has achieved 95% in terms of F1-Score and outperformed the multilayer percept-based DNN model whose F1-Score is 92%.

Effect of NaCl on the Stability of Oncolytic Vaccinia Virus (항암 백시니아 바이러스의 안전성에 대한 염화나트륨의 효과)

  • Kim, Seong-Geun;Ran, Gui Shao;Kwon, Hyuk-Chan;Hwang, Tae-Ho
    • Journal of Life Science
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    • v.26 no.1
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    • pp.23-33
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    • 2016
  • Pexa-Vec (JX-594) is a specific cancer-targeted oncolytic and immunotherapeutic vaccinia virus. The purpose of this study was to develop methods to maximize the stability of Pexa-Vec. In short-term instability testing, viral activity was rapidly decreased both at 4℃ and at room temperature (RT), but it was completely restored after sonication followed by vortex. Long-term stability testing of Pexa-Vec in the following liquid formulations was performed: (A) 30 mM Tris/pH 7.6, (B) 30 mM Tris/pH 8.6, (C) 30 mM Tris/pH 7.6, 150 mM NaCl, 15% sucrose, (D) 30 mM Tris/pH 7.6, 15% sucrose, and (E) 30 mM Tris/pH 8.6, 15% sucrose. Viral activity decreased less than 2 log10 at 4℃, and RT was observed in 3 days in B, while viral activity was not decreased even after 4–8 weeks at 4℃ and at 1 week in RT in A, suggesting that neutral pH may be essential to maintain virus stability. The addition of 15% sucrose into A (D) significantly increased viral stability at −20℃, 4℃, or RT, and it was also observed at pH 8.6 (E). The addition of 150 mM NaCl into D (C) significantly increased viral stability in addition to the sucrose effect at 4℃ or RT. Accordingly, the viral activity in formulation C was maintained for 1.5 years at 4℃, and for 1-2 weeks in RT. In conclusion, we propose that formulation C can provide the most adequate condition for the proper storage of vaccinia oncolytic virus.

A Study on the Development Direction of Medical Image Information System Using Big Data and AI (빅데이터와 AI를 활용한 의료영상 정보 시스템 발전 방향에 대한 연구)

  • Yoo, Se Jong;Han, Seong Soo;Jeon, Mi-Hyang;Han, Man Seok
    • KIPS Transactions on Computer and Communication Systems
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    • v.11 no.9
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    • pp.317-322
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    • 2022
  • The rapid development of information technology is also bringing about many changes in the medical environment. In particular, it is leading the rapid change of medical image information systems using big data and artificial intelligence (AI). The prescription delivery system (OCS), which consists of an electronic medical record (EMR) and a medical image storage and transmission system (PACS), has rapidly changed the medical environment from analog to digital. When combined with multiple solutions, PACS represents a new direction for advancement in security, interoperability, efficiency and automation. Among them, the combination with artificial intelligence (AI) using big data that can improve the quality of images is actively progressing. In particular, AI PACS, a system that can assist in reading medical images using deep learning technology, was developed in cooperation with universities and industries and is being used in hospitals. As such, in line with the rapid changes in the medical image information system in the medical environment, structural changes in the medical market and changes in medical policies to cope with them are also necessary. On the other hand, medical image information is based on a digital medical image transmission device (DICOM) format method, and is divided into a tomographic volume image, a volume image, and a cross-sectional image, a two-dimensional image, according to a generation method. In addition, recently, many medical institutions are rushing to introduce the next-generation integrated medical information system by promoting smart hospital services. The next-generation integrated medical information system is built as a solution that integrates EMR, electronic consent, big data, AI, precision medicine, and interworking with external institutions. It aims to realize research. Korea's medical image information system is at a world-class level thanks to advanced IT technology and government policies. In particular, the PACS solution is the only field exporting medical information technology to the world. In this study, along with the analysis of the medical image information system using big data, the current trend was grasped based on the historical background of the introduction of the medical image information system in Korea, and the future development direction was predicted. In the future, based on DICOM big data accumulated over 20 years, we plan to conduct research that can increase the image read rate by using AI and deep learning algorithms.

Analysis of Price competitiveness of Asian Hub Airports (아시아권 허브 공항의 가격 경쟁력 분석)

  • Yeo, Hyeong-Gu;Gang, Gyeong-U;Jang, Hye-Jin
    • Journal of Korean Society of Transportation
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    • v.25 no.5
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    • pp.125-133
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    • 2007
  • Through open-sky policy, USA and European selected market principle of multiuser. However, in Asian case, major airlines monopolize airports. It is purpose that analyzes fare competition of Asian Hub Airport and the position of Incheon airport in Asia. Passengers required longer time and distance to go to the destination because direct flights decreases. But passengers increased in airport every year. Because of routes that decrease, airlines provide more services of flights. So airlines prefer to Hub Airports. As a result, both passengers and airlines are profitable by various routs and the increased frequency. On the assumption that distance and fare are related, the final formula is as following that defined the air fare from hub(H) to destination(Z) by logarithm. Analysis showed that log Rdist is not 1 but 0.08. As distance increases, fare doesn't increase. If distance from hub to destination airports is longer, Log dist_HZ is negative. It is that fare decreases from origin to destination via hub or that fare increases from hub to destination. HHI_HZ and HHI_AZ are negative. It means that if the degree of monopolization of hub and origin airports is lager, fare decreases from origin to destination via hub. Or fare increases from hub to destination. And it compares the Incheon airport with the other Asian hub airports and it examines the competitive fare by market division. As compared with the Incheon airport, Singapore, Beijing and Narita airports are higher fares. They compete with the other ones by Asian hub airports. But Hong Kong and Taipei airports must have more passengers through fare competition yet.

Study on the Physico-chemical Properties of Rice Grains Harvested from Different Regions (재배환경이 다른 쌀의 이화적적 특성에 관한 연구)

  • Kwang-Ho Kim
    • KOREAN JOURNAL OF CROP SCIENCE
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    • v.32 no.2
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    • pp.234-242
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    • 1987
  • Rough rice samples of four rice varieties were collected from twenty five locations through the country just after 1986 rice growing season. Various characteristics related to rice grain quality were observed to clarify the degree of locational variation of physico-chemical properties, and cooking and eating quality of rice grains. Grain weight, grain shape, degree of translucency and chalkiness of rice grain, amylogram properties of rice flour, water uptake during cooking, and cooked rice appearance were different between varieties tested. High degree of locational variation were found in following characteristics, degree of translucency and chalkiness of rice grain, water uptake during cooking, cooked rice appearance and amylogram properties. Eating quality of cooked rice indicated by sensory score showed different tendency of locational variation between rice varie-ties tested, and locations produced rice grains showing better eating quality were not coinside with among varieties tested. Grain weight, degree of translucency and chalkiness of rice grain, and cooked rice appearance of rice samples showing better eating quality were quite different to rice grains showing poor eating quality. Rice having better eating quality of a japonica variety, Chucheong, showed higher value of peak and final viscosity, viscosity after cooling, consistency and set back on amylograph compared with those of poor eating quality rices, and break down value of better rice was lower than that of poor rice. However, a Tongil type variety, Taebaek, did not show any consistent difference between better and poor rices. Rice samples from six locations in Chucheong and four locations in Taebaek showed special properties on amylogram compared with other rices collected in this study.

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Antimicrobial effect of infrared diode laser utilizing indocyanine green against Staphylococcus aureus biofilm on titanium surface (티타늄 표면에 형성한 Staphylococcus aureus 바이오필름에 대한 인도시아닌 그린을 활용한 광역학치료의 항미생물 효과)

  • Seung Gi Kim;Si-Young Lee;Jong-Bin Lee;Heung-Sik Um;Jae-Kwan Lee
    • Journal of Dental Rehabilitation and Applied Science
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    • v.40 no.2
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    • pp.55-63
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    • 2024
  • Purpose: This study aimed to assess the antimicrobial efficacy of an 810-nm infrared diode laser with indocyanine green (ICG) against Staphylococcus aureus on sandblasted, large grit, and acid-etched (SLA) titanium surfaces, comparing its effectiveness with alternative chemical decontamination modalities. Materials and Methods: Biofilms of S. aureus ATCC 25923 were cultured on SLA titanium disks for 48 hours. The biofilms were divided into five treatment groups: control, chlorhexidine gluconate (CHX), tetracycline (TC), ICG, and 810-nm infrared diode laser with ICG (ICG-PDT). After treatment, colony-forming units were quantified to assess surviving bacteria, and viability was confirmed through confocal laser-scanning microscope (CLSM) imaging. Results: All treated groups exhibited a statistically significant reduction in S. aureus (P < 0.05), with notable efficacy in the CHX, TC, and ICG-PDT groups (P < 0.01). While no statistical difference was observed between TC and CHX, the ICG-PDT group demonstrated superior bacterial reduction. CLSM images revealed a higher proportion of dead bacteria stained in red within the ICG-PDT groups. Conclusion: Within the limitations, ICG-PDT effectively reduced S. aureus biofilms on SLA titanium surfaces. Further investigations into alternative decontamination methods and the clinical impact of ICG-PDT on peri-implant diseases are warranted.