• Title/Summary/Keyword: Web-traffic

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Implementation and Fault-tolerance Tests of High Availability System in Cloud Environment (클라우드 환경에서의 고가용성 시스템 구현 및 결함 내성 시험)

  • Koh, Seok-ju;Son, Jong-young;Kim, Sun-hee;Cho, Hyun-kyung;Bae, Keun-ryeong;Ji, Ho-jun
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2019.05a
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    • pp.74-77
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    • 2019
  • Many enterprises and public institutions are building their own server stabilization system. Nevertheless, many web servers including some public institutions have frequent obstacles due to the unexpected causes such as traffic concentration. Data loss during each of these situations and business interruption can cause a huge loss. In this study, we propose high-availability Web system that uses load balancing and session clustering. Each deals with the failure due to the over traffic by distributing incoming requests in the multiplexed web server and provides the continuous services by maintaining session information of the users in case of the failure of some servers.

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Web Attack Classification via WAF Log Analysis: AutoML, CNN, RNN, ALBERT (웹 방화벽 로그 분석을 통한 공격 분류: AutoML, CNN, RNN, ALBERT)

  • Youngbok Jo;Jaewoo Park;Mee Lan Han
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.34 no.4
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    • pp.587-596
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    • 2024
  • Cyber Attack and Cyber Threat are getting confused and evolved. Therefore, using AI(Artificial Intelligence), which is the most important technology in Fourth Industry Revolution, to build a Cyber Threat Detection System is getting important. Especially, Government's SOC(Security Operation Center) is highly interested in using AI to build SOAR(Security Orchestration, Automation and Response) Solution to predict and build CTI(Cyber Threat Intelligence). In this thesis, We introduce the Cyber Threat Detection System by analyzing Network Traffic and Web Application Firewall(WAF) Log data. Additionally, we apply the well-known TF-IDF(Term Frequency-Inverse Document Frequency) method and AutoML technology to classify Web traffic attack type.

Analysis of Web Response Time on Queue Managements and Transmission Latency in Congested Network (혼잡 망에서의 큐 제어 방식과 전송지연시간에 대한 웹 반응 시간 분석)

  • Seok, Woo-Jin
    • The KIPS Transactions:PartC
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    • v.15C no.4
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    • pp.321-328
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    • 2008
  • In this paper, we analyze web response time depending on queue managements and transmission latencies in highly congested network situation. Under FIFO scheme, the response times are for three different sizes of queue are almost the same, but the response time increases as traffic intensity increases. The performance between different queue sizes shows more different in 90% and 98% traffic intensity than in 80% traffic intensity. Especially the difference becomes bigger in short latency case than long latency case. Under RED scheme, three differently tunned RED schemes do not impact on the response time when the size of queue is relatively large. When the queue size becomes smaller, the response time of the differently tunned RED schemes becomes different for short latency case while the response times are almost same for long latency case. When comparing FIFO and RED schemes under same size of queue, RED scheme shows less response time than that of FIFO for the long latency case in high traffic intensity.

A Study on Efficient Load Balancing Mechanism in Distributed Web Cluster System (분산 웹 클러스터 시스템에서의 효율적인 부하 균등 기법에 관한 연구)

  • Lee, Bog-Ki
    • Journal of the Korea Society of Computer and Information
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    • v.16 no.8
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    • pp.11-18
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    • 2011
  • The increasing of web users load to the excessive transmission traffic and system overload problems. To solve these problems, cluster systems are studied. In conventional cluster systems, when the request size is large owing to such types as multimedia and CGI, the particular server load and response time tend to increase even if the overall loads are distributed evenly. In this paper, we consider the methodology of efficient resource usage, specially distributed web cluster system. We develope an algorithm that distributes the load on the web cluster system to use the system resources, such as system memory equally. The response time is chosen as a performance measure on the various clustering models. And based on the concurrent user to the web cluster system, the response time is also examined as the number of users increases. Simulation experience with this algorithm shows that the response time and average throughput seems to have a good results compare to those with the other algorithm.

Automatic Alignment System for Group Schedule of Event-based Real-time Response Web Processing using Node.js

  • Kim, Hee-Wan
    • The Journal of Korea Institute of Information, Electronics, and Communication Technology
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    • v.11 no.1
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    • pp.26-33
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    • 2018
  • A web application running on the Internet is causing many difficulties for a program developer, and it requires to process multiple sessions at the same time due to the occurrence of excessive traffic. Web applications should be able to process concurrent requests efficiently and in real time. Node.js is a single-threaded server-side JavaScript environment implemented in C and C ++ as one of the latest frameworks to implement event models across the entire stack. Nodes implement JavaScript quickly and robust to achieve the best performance using a JavaScript V8 engine developed by Google. In this paper, it will be explained the operation principle of Node.js, which is a lightweight real-time web server that can be implemented in JavaScript for real-time responsive web applications. In addition, this application was practically implemented through automatic alignment system for group scheduling to demonstrate event-based real-time response web processing.

Research for Building an Existing Web Site to Web Site Analysis of Urban Safety Map (도시안전맵 웹사이트 구축을 위한 기존 웹사이트 분석연구)

  • Lim, Dong-Hyun;Kim, Hyun-Su;Kim, Wook-Kang;Kang, Boo-Seong
    • Proceeding of Spring/Autumn Annual Conference of KHA
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    • 2008.11a
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    • pp.222-225
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    • 2008
  • In urban life, an interest in safety and demands for safety information about crimes and traffic are increasing. As well, communication on the internet is so active. In this study, we analyze web sites in US, UK, and JP, which have started safety map services, and then we provide basic material for the introduction of safety map into Korea. According to the analysis result, in US and UK, the safety map web sites are administered by the government and provided to the general public. The geographical area is provided around administrative districts and statistical data. In JP, The safety map web site provide not a one sided service but the service that user can directly take a part in, and also there is an web site for crimes against vulnerable people.

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The Evaluation for Web Mining and Analytics Service from the View of Personal Information Protection and Privacy (개인정보보호 관점에서의 웹 트래픽 수집 및 분석 서비스에 대한 타당성 연구)

  • Kang, Daniel;Shim, Mi-Na;Bang, Je-Wan;Lee, Sang-Jin;Lim, Jong-In
    • Journal of the Korea Institute of Information Security & Cryptology
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    • v.19 no.6
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    • pp.121-134
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    • 2009
  • Consumer-centric marketing business is surely one of the most successful emerging business but it poses a threat to personal privacy. Between the service provider and the user there are many contrary issues to each other. The enterprise asserts that to abuse the privacy data which is anonymous there is not a problem. The individual only will not be able to willingly submit the problem which is latent. Web traffic analysis technology itself doesn't create issues, but this technology when used on data of personal nature might cause concerns. The most criticized ethical issue involving web traffic analysis is the invasion of privacy. So we need to inspect how many and what kind of personal informations being used and if there is any illegal treatment of personal information. In this paper, we inspect the operation of consumer-centric marketing tools such as web log analysis solutions and data gathering services with web browser toolbar. Also we inspect Microsoft explorer-based toolbar application which records and analyzes personal web browsing pattern through reverse engineering technology. Finally, this identified and explored security and privacy requirement issues to develop more reliable solutions. This study is very important for the balanced development with personal privacy protection and web traffic analysis industry.

Cognitive Model-based Evaluation in Dynamic Traffic System (동적 교통 시스템의 인지공학적 평가에 관한 연구)

  • Kang, Myong-Ho;Cha, Woo-Chang
    • Journal of the Ergonomics Society of Korea
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    • v.21 no.3
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    • pp.25-34
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    • 2002
  • The road sign in dynamic traffic system is an important element which affects on human cognitive performance on driving. Web-based vision system simulator was developed to examine the cognition time of the road sign in dynamic environment. This experiment the cognition time of the road sign in dynamic environment. This experiment was designed in with-subject design with two factors: vehicle speed and the amount of information of the traffic sign. It measured the cognition time of the road sign through two evaluation methods: the subjective test with vision system simulator and computational cognitive model. In these two evaluations of human cognitive performance under the dynamic traffic environment, it demonstrated that subject's cognition time was affected by both the amount of information of traffic sign and driving speed.

Cognitive Model-based Evaluation of Traffic Simulation Model (교통 시뮬레이션 모텔의 인지공학적 평가에 관한 연구)

  • 강명호;차우창
    • Proceedings of the Korea Society for Simulation Conference
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    • 2002.05a
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    • pp.163-168
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    • 2002
  • The road sign in dynamic traffic system is an important element which affects on human cognitive performance on driving. Web-based vision system simulator was developed to examine the cognition time of the road sign in dynamic environment. This experiment was designed in within-subject design with two factors; vehicle speed and the amount of information of the traffic sign. It measured the cognition time of the road sign through two evaluation methods; the subjective test with vision system simulator and computational cognitive model. In these two evaluations of human cognitive performance under the dynamic traffic environment, it demonstrated that subject's cognition time was affected by both the amount of information of traffic sign and driving speed.

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The Effect of Real-time Traffic Information System Relieving Traffic Congestion

  • Kang, Ho Jun;Moon, Tae Nam;Lee, Kang Hyeok;Song, Young Do;Shin, Do Hyoung
    • International conference on construction engineering and project management
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    • 2015.10a
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    • pp.652-653
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    • 2015
  • This study investigates the effect of real-time traffic information on the traffic flows in Korea. Recently, the development of smartphones has made it easier to use the route guidance service based on real-time traffic information. By the Big Data analysis in the study, it was found that the number of postings on the web community sites increased sharply in 2010 and 2011 when the smartphones spread widely. In the analysis of the traffic speeds by time, the average traffic speeds for morning and evening rush hours on weekdays from 2009 to 2014 of the 142 sections in the 6 national highways in Gyeonggi-do, Korea were used. From the results of the analysis, it was found that the percentage of the number of sections with the improved traffic flows increased greatly in 2012 compared to 2011. The findings of the study indicate the effect of the real-time traffic information on improving traffic flows.

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