• Journal of KIISE:Computer Systems and Theory
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• v.26 no.1
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• pp.72-81
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• 1999

인터넷의 급속한 확산과 함께, 보다 나은 품질의 실시간, 멀티미디어 통신 서비스가 요구되고 있다. 하지만 인터넷은 모든 트래픽에 대해서 최선형 서비스만을 제공하기 때문에 모든 트래픽은 동일한 서비스 품질을 가지게 되므로 이러한 요구를 만족시킬 수 없다. 이러한 문제를 해결하기 위해서 분류자, 패킷 스케쥴러, 수락 제어로 구현된 트래픽 제어부를 이용하는 인터넷 종합 서비스 모델이 제시되었다. 본 논문에서는 SCFQ(Self-Clocked Fair Queueing)스케쥴링 알고리즘을 사용한 라우터를 구현하였고, 실험을 통하여 실시간 트래픽의 성능을 분석하였다. 분석을 위해 기존의 인터넷 환경에서의 실시간 트래픽의 지연과 처리율을 측정하였고, 이를 스케쥴링 알고리즘이 구현된 시스템과 비교하였다.

• Proceedings of the Korea Information Processing Society Conference
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• 2014.04a
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• pp.506-509
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• 2014

최근 클라우드 서비스의 발전으로 인해 네트워크 트래픽이 폭발적으로 증가함에 따라 네트워크를 보다 효율적으로 관리하는 방법들에 대한 필요성이 제기되었고 해결책으로 소프트웨어 정의 네트워크(Software-Defined Network: SDN)가 제안되었다. 네트워크 구조가 기존보다 효율적인 SDN으로 변화함에 따라 보안 기술들도 함께 변화하고 있는데 본 논문에서는 보안 기술들 중 SDN을 이용한 네트워크 공격 탐지 기법들을 패킷 분석 기반과 임계값 기반으로 분류하고 보안성과 자원 사용에 대한 효율성 측면에서 분석하였다. 본 논문의 분석 결과를 통해 앞으로의 SDN 기반 네트워크 공격 탐지 기법들의 연구 방향을 제시하고 향후 새로운 SDN 기반 네트워크 공격 탐지 기법 연구와 탐지 시스템 구현에 기틀을 마련한다.

• Proceedings of the Korea Information Processing Society Conference
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• 2001.04a
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• pp.491-494
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• 2001

IP 망에서 Qos(Quality of Service)를 보장하기 위하여 요구되는 것이 수락 제어이다. 기존의 수락 제어 메커니즘은 크게 RSVP(Resource Reservation Protocol) 시그널링 방법과 MBAC(Measurement Based Admission Control)로 분류된다. 첫번째 방법의 경우 코어 망에서 각 플로우마다 상태를 유지해야 하는 확장성 문제때문에 적용이 쉽지 않고, 두 번째 방법의 경우 긴 경로를 가진 플로우의 경우 짧은 경로를 가진 플로우에 비해 블록킹 확률이 높아지는 문제점이 있다. 본 논문에서는 IP 코어 망에서 사용자의 QoS 요구사항과 서로 다른 경로상의 플로우간 블록킹 확률의 공평성을 위한 TPED MBAC(Two-Phase Edge-to-Edge Distributed Measurement Based Admission Control) 메커니즘을 제안한다. 이 MBAC 메커니즘은 수락 제어를 Quantitative Provisioning 단계와 Qualitative Provisioning 단계로 나누어 수행하며 프로빙 패킷 전송을 위해 홉 카운터에 기반 한 WRR(Weighted Round-Robin) 스케쥴링을 적용함으로써 각 플로우간의 블록킹 확률의 공평성을 제어할 수 있는 메커니즘이다.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2019.05a
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• pp.95-99
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• 2019

In this paper, the uplink data transmitted from LoRa node is received and decomposed in LoRaWAN Network Server and converted into data with key and value. The data is converted into the data format required by the existing oneM2M platform, and transmitted. The oneM2M platform stores the data, another system for transmitting the data is implemented so that the processing for the data can be started immediately.

• Proceedings of the Korea Information Processing Society Conference
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• 2009.04a
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• pp.1202-1205
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• 2009

본 논문은 단말 호스트에서 발생한 트래픽 정보를 분석하여 단말 호스트의 다양한 정보를 수집하는 방법론에 대하여 기술한다. 본 논문에서는 첫째로 TCP 의 3-way handshake 중 SYN 패킷의 정보를 이용한 호스트의 운영체제를 예측하는 방법론과 해당 호스트에서 발생한 TCP 연결의 응답시간 분포를 분석하여 호스트의 네트워크 접근 밥법이 유 무선인지 분류하는 새로운 방법론을 제안한다. 분석이 완료된 호스트는 데이타베이스에 해당 호스트의 정보를 기록한다. 이는 웹을 통해 손쉽게 확인 가능하도록 하기 위함이다. 또한 하나의 호스트에서 유 무선 트래픽이 동시에 발생되었을 경우, 이에 대한 정보를 기반으로 유 무선 공유기 설치 유무를 판별할수 있도록 설계하였다.

• Journal of KIISE:Information Networking
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• v.36 no.3
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• pp.173-183
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• 2009

We present a real-time monitoring system for detecting anomalous network events using the entropy. The entropy accounts for the effects of disorder in the system. When an abnormal factor arises to agitate the current system the entropy must show an abrupt change. In this paper we deliberately model the Internet to measure the entropy. Packets flowing between these two networks may incur to sustain the current value. In the proposed system we keep track of the value of entropy in time to pinpoint the sudden changes in the value. The time-series data of entropy are transformed into the two-dimensional domains to help visually inspect the activities on the network. We examine the system using network traffic traces containing notorious worms and DoS attacks on the testbed. Furthermore, we compare our proposed system of time series forecasting method, such as EWMA, holt-winters, and PCA in terms of sensitive. The result suggests that our approach be able to detect anomalies with the fairly high accuracy. Our contributions are two folds: (1) highly sensitive detection of anomalies and (2) visualization of network activities to alert anomalies.

• Journal of KIISE:Information Networking
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• v.29 no.1
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• pp.24-30
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• 2002

Label switching technology is currently emerging as a solution for the rapidly growing of Internet traffic demand. Multiprotocol label switching(MPLS) is one of the standards made by the Internet Engineering Task Force(IETE) intended to enhance speed, scalability, and inter-opearability between label switching technologies. In MPLS, utilization of label space is a very important factor of network performance because labels are basic unit in packet switching. We propose a algorithm to effectively use label space by a multiple disconnect timer at the label switching router. Our algorithm is based on multiple utilization of the connection release timer over the MPLS network with multiple domains. In our algorithm, a relatively linger timeout interval is assigned to the traffic with higher class by the aid of the packet classifier. This reduces delay for making a new connection and also reduces the amount of packets which will be routed to the layer 3. Simulation results shows that reduction of required label number in MPLS network and this indicate our algorithm offers better performance than the existing ones in term of utilization of label space.

• Journal of the Korea Computer Industry Society
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• v.3 no.1
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• pp.95-104
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• 2002

This paper presents some studies on the Internet TCP/IP(Transmission Control Protocol-Internet Protocol) traffic over ATM(Asynchronous Transfer Mode) UBR(Unspecified Bit Rate) and ABR(Available Bit Rate) classes of service. Fuzzy logic prediction has been used to improve the efficiency and fairness of traffic throughput. For TCP/IP over UBR, a novel fuzzy logic based cell dropping scheme is presented. This is referred to as fuzzy logic selective cell drop (FSCD). A key feature of the scheme is its ability to accept or drop a new incoming packet dynamically based on the predicted future buffer condition in the switch. This is achieved by using fuzzy logic prediction for the production of a drop factor. Packet dropping decision is then based on this drop factor and a predefined threshold value. Simulation results show that the proposed scheme significantly improves TCP/IP efficiency and fairness. To study TCP/IP over ABR, we applied the fuzzy logic ABR service buffer management scheme from our previous work to both approximate and exact fair rate computation ER(Explicit cell Rate) switch algorithms. We then compared the performance of the fuzzy logic control with conventional schemes. Simulation results show that on zero TCP packet loss, the fuzzy logic control scheme achieves maximum efficiency and perfect fairness with a smaller buffer size. When mixed with VBR traffic, the fuzzy logic control scheme achieves higher efficiency with lower cell loss.

• Journal of Korea Multimedia Society
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• v.11 no.2
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• pp.197-205
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• 2008

TCP packets occupy over 90% of current Internet traffic thus understanding of TCP throughput is crucial to understand Internet. Under the TCP congestion regime, heterogeneous flows, i.e., flows with different round-trip times (RTTs), that share the same bottleneck link will not attain equal portions of the available bandwidth. In fact, according to the TCP friendly formula, the throughput ratio of two flows is inversely proportional to the ratio of their RTTs. It has also been shown that TCP's unfairness to flows with longer RTTs is accentuated under loss synchronization. In this paper, we show that, injecting bursty background traffic may actually lead to new type of synchronization and result in unfairness to foreground TCP flows with longer RTTs. We propose three different metrics to characterize traffic burstiness and show that these metrics are reliable predictors of TCP unfairness.

• Journal of the Institute of Electronics Engineers of Korea SC
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• v.42 no.2 s.302
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• pp.39-48
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• 2005

This paper proposes a novel approach to recognize nine kinds of motion for a multifunction myoelectric hand, acquiring four channel EMG signals from electrodes placed on the forearm. To analyze EMG with properties of nonstationary signal, time-frequency features are extracted by wavelet packet transform. For dimensionality reduction and nonlinear mapping of the features, we also propose a feature projection composed of PCA and SOFM. The dimensionality reduction by PCA simplifies the structure of the classifier, and reduces processing time for the pattern recognition. The nonlinear mapping by SOFM transforms the PCA-reduced features to a new feature space with high class separability. Finally a multilayer neural network is employed as the pattern classifier. From experimental results, we show that the proposed method enhances the recognition accuracy, and makes it possible to implement a real-time pattern recognition.