• Proceedings of the Korean Information Science Society Conference
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• 2000.04a
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• pp.445-447
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• 2000

인터넷이 급속도로 발전되면서 트래픽이 폭발적으로 증가하여 현재 라우터에 많은 부담을 주고 있다. 반면 스위칭 기술은 라우팅보다 빠르게 데이터를 전송할 수 있다. 그 결과 라우터 병목 현상을 해결하고자 IP 라우팅에 스위칭 기술을 접목한 레이블 스위칭 네트웍이 출현하게 되었다. 레이블 스위칭 기술 중 데이터 기반 레이블 스위칭에서 매우 중요한 것은 캐쉬 테이블 관리이다. 캐쉬 테이블에는 흐름 분류를 위한 정보와 레이블 스위칭을 위한 정보를 저장하고 있는데 캐쉬테이블 크기는 라우터 자원에 의해 제약을 받으므로 캐쉬 대체 기법이 필요하게 된다. 따라서 효율적인 캐쉬 테이블 관리를 위해 인터넷 트래픽 특성을 고려한 캐쉬 대체 기법에 관한 연구가 필요하다. 본 논문에서는 인터넷 트래픽 특성을 고려해 기본적인 FIFO, LFC, LRU 기법을 실제 인터넷 트래픽을 사용해 성능 평가하고 새로운 가중치 우선순위 LRU 기법을 제안한다. 특히 가중치 우선순위 LRU 기법은 플로우 인앤아웃 현상이 없고 시간이 지나도 새로운 플로우를 적절히 생성해내는 일관성을 지니면서도 스위칭 비용을 줄이는 장점을 가지고 있다.

• Proceedings of the Korea Contents Association Conference
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• 2003.11a
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• pp.260-264
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• 2003

본 논문에서는 인터넷에서의 트래픽 엔지니어링 체제를 구축하기 위하여 트래픽 엔지니어링을 수행하기 위한 기능 모델을 제시하였다. 제시한 기능 모델은 트래픽 관리, 용량 관리, 그리고 네트워크 계획으로 구성된다. 트래픽 관리는 다양한 조건하에서 네트워크 성능을 최대화하는 것을 목적으로 하며, 용량 관리는 최소의 비용으로 네트워크 요구에 대한 성능 목표치를 만족시키기 위하여 네트워크가 설계되고 제공됨을 목적으로 한다. 또한 네트워크 계획은 예측된 트래픽 증가에 앞서 노드와 전송 용량이 계획되고 배치됨을 보장한다.

• Journal of Internet Computing and Services
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• v.12 no.3
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• pp.89-99
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• 2011

The payload signature-based traffic classification system has to deal with large amount of traffic data, as the number of internet-based applications and network traffic continue to grow. While a number of pattern-matching algorithms have been proposed to improve processing speedin the literature, the performance of pattern matching algorithms is restrictive and depends on the features of its input data. In this paper, we studied how to optimize the search space in order to improve the processing speed of the payload signature-based traffic classification system. Also, the feasibility of our design choices was proved via experimental evaluation on our campus traffic trace.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.30 no.4C
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• pp.296-304
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• 2005

ATCoP(Abnormal traffic controller based on prediction) is presented to securely support reliable Internet service and to guarantee network survivability, which is deployed in Internet access point. ATCoP is a method to control abnormal traffic that is entering into the network When unknown attack generates excessive traffic, service survivability is guaranteed by giving the priority to normal traffic than abnormal traffic, that is reserving some channels for normal traffic. If the reserved channel number increases, abnormal traffic has lower quality service by ATCoP system and then its service survivability becomes worse. As an analytic result, the proposed scheme maintains the blocking probability of normal traffic on the predefined level in the specific interval of input traffic.

• Information and Communications Magazine
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• v.17 no.9
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• pp.25-43
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• 2000

지난 몇 년간 인터넷망은 세계 도처를 연결하면서 인터넷 사용자의 수를 기하급수적으로 늘렸으며, 비디오 텔레컨퍼런스, Video-on-Demand(VoD), 가상현실 등과 같은 새로운 응용들 뿐 아니라 기존의 전화, 라디오 및 TV서비스까지 제공하면서 엄청난 트래픽 증가를 가져왔다. 이는 인터넷 망의 대역폭 확대를 요구하고 있으며, 단순한 대역폭의 증가만으로 이러한 엄청난 수요를 충족시킬 수 없다는 것이 대다수의 공통된 의견이다. 왜냐하면 인터넷 트래픽이 단순히 양적으로 증가할 뿐만 아니라 트래픽 특성상의 다양한 변화가 일어나고 있으며 mobile 환경을 수용해야되는 문제 등 다양한 새로운 요구에 부응하기 위한 변화가 동반되어야 한다. 본 고에서는 이러한 변화가 왜 일어나고 있으며 어떻게 대처해야 되는 가에 대한 기술적인 해답을 찾기 위해서 전 세계적으로 활발히 진행되고 있는 인터넷 QoS 관리 기술의 연구 및 표준화 동향에 대해 논하고자 한다.

• The Journal of Korean Institute of Communications and Information Sciences
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• v.29 no.5B
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• pp.491-497
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• 2004

In this Paper, we W a Hovel global traffic control architecture to isolate malicious network attacks and protect network infrastructure in Internet backbone networks. Unlike existing methods based on individual packets or flows, since the proposed detection and control methods are operated on the aggregate traffic level, the computational complexity can k significantly reduced, and they are applicable to develop a global defense architecture against network attack. Experimental results show that the proposed scheme can detect the network attack symptoms very exactly and quickly and protect the network resources as well as the normal traffic flows very efficiently.

• Journal of Internet Computing and Services
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• v.2 no.1
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• pp.87-96
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• 2001

This article proposes traffic dispersion with optical transmission technical and development of transmission rate for the safe multicast computer communication in the high bandwidth, Recently multicast traffic such as distance conference or Internet broadcast increases therefore the importance of traffic dispersion and transmission rate is emphasized. Ultimately this article offers the way of carrying out the above suggestion, First this paper points out traffic problems occurred in voice and text centered transmission. Next, transmission rate can be controlled by optical transmission technic to solve above difficulties in the multimedia and Internet. We investigated the feature and output on Add-Drop Mux/Demux and Also presented charges of length accord each stage in interference. We can show, the best data of design as a result of this experiment.

• Journal of KIISE:Information Networking
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• v.33 no.3
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• pp.201-217
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• 2006

In this paper, we collected the physical traces from high speed Internet backbone traffic and analyze the various characteristics of the underlying packet traces. Particularly, our work is focused on analyzing the characteristics of an anomalous traffic. It is found that in our data, the anomalous traffic is caused by UDP session traffic and we determined that it was one of the Denial of Service attacks. In this work, we adopted the unsupervised machine learning algorithm to classify the network flows. We apply the k-means clustering algorithm to train the learner. Via the Cramer-Yon-Misses test, we confirmed that the proposed classification method which is able to detect anomalous traffic within 1 second can accurately predict the class of a flow and can be effectively used in determining the anomalous flows.

• Journal of KIISE:Information Networking
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• v.29 no.6
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• pp.613-624
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• 2002

Within the past decade, TCP/IP network environment has been explosively widespread all over the world. As the internet and the WWW expand their boundaries, the network traffic caused by data transfers over the internet has also increased. In this paper, we present the design and implementation of a WebTraMAS (Web-based Traffic Monitoring and Analysis System) which can resolve the shortcomings of current management approaches, particularly on the network traffic monitoring and analysis. The WebTraMAS presented in this paper performs the network management activities based on the parameters related to the MIB-II of SNMP and the parameters related to the QoS such as network performance and fault. The proposed WebTraMAS, implemented using the WWW technology, is able for the network manager to manage the network easily and platform independently with the performance analysis of internet traffic.

• The Korean Journal of Applied Statistics
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• v.26 no.6
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• pp.1053-1061
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• 2013

In this paper, we propose the time series forecasting models for internet traffic with long memory and heteroscedasticity. To control and forecast traffic volume, we first introduce the traffic forecasting models which are determined by the volatility and heteroscedasticity of the traffic. We then analyze and predict the heteroscedasticity and the long memory properties for forecasting traffic volume. Depending on the characteristics of the traffic, Fractional ARIMA model, Fractional ARIMA-GARCH model are applied and compared with the MAPE(Mean Absolute Percentage Error) Criterion.