• KSII Transactions on Internet and Information Systems (TIIS)
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• 제13권5호
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• pp.2651-2673
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• 2019

In order to detect Denial of Service (DoS) attacks, victim-side detection methods are used popularly such as static threshold-based method and machine learning-based method. However, as DoS attacking methods become more sophisticated, these methods reveal some natural disadvantages such as the late detection and the difficulty of tracing back attackers. Recently, in order to mitigate these drawbacks, source-side DoS detection methods have been researched. But, the source-side DoS detection methods have limitations if the volume of attack traffic is relatively very small and it is blended into legitimate traffic. Especially, with the subtle attack traffic, DoS detection methods may suffer from high false positive, considering legitimate traffic as attack traffic. In this paper, we propose an effective source-side DoS detection method with traffic seasonality aware adaptive threshold. The threshold of detecting DoS attack is adjusted adaptively to the fluctuated legitimate traffic in order to detect subtle attack traffic. Moreover, by understanding the seasonality of legitimate traffic, the threshold can be updated more carefully even though subtle attack happens and it helps to achieve low false positive. The extensive evaluation with the real traffic logs presents that the proposed method achieves very high detection rate over 90% with low false positive rate down to 5%.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제10권8호
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• pp.3551-3567
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• 2016

The Low Earth Orbit satellite network has the unique characteristics of the non-uniform and time-variant traffic load distribution, which often causes severe link congestion and thus results in poor performance for delay-sensitive flows, especially when the network is heavily loaded. To solve this problem, a novel adaptive routing algorithm, referred to as the delay-oriented adaptive routing algorithm (DOAR), is proposed. Different from current reactive schemes, DOAR employs Destination-Sequenced Distance-Vector (DSDV) routing algorithm, which is a proactive scheme. DSDV is extended to a multipath QoS version to generate alternative routes in active with real-time delay metric, which leads to two significant advantages. First, the flows can be timely and accurately detected for route adjustment. Second, it enables fast, flexible, and optimized QoS matching between the alternative routes and adjustment requiring flows and meanwhile avoids delay growth caused by increased hop number and diffused congestion range. In addition, a retrospective route adjustment requesting scheme is designed in DOAR to enlarge the alternative routes set in the severe congestion state in a large area. Simulation result suggests that DOAR performs better than typical adaptive routing algorithms in terms of the throughput and the delay in a variety of traffic intensity.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제5권11호
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• pp.1946-1958
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• 2011

Wireless Sensor Network (WSN) is made up of a number of sensor nodes and base stations. Traffic flow in WSN appears self-similar due to its data delivery process, and this impacts queue length greatly and makes queuing delay worse. Active queue management can be designed to improve QoS performance for WSN. In this paper, we propose self-similar traffic rate estimating algorithm named Power-Law Moving Averaging (PLMA) to regulate packet marking probability. This algorithm improves the availability of the rate estimation algorithm under the self-similar traffic condition. Then, we propose an adaptive Proportional Integral algorithm (SSPI) based on the estimation of the Self-Similar traffic rate by PLMA. Simulation results show that SSPI can achieve lower queue length jitter and smaller setting time than PI.

• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2000년도 제15차 학술회의논문집
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• pp.66-66
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• 2000

In this parer, we introduce an algorithm to control flows of the traffic in multi-intersections. It is pointed out that the main problem in traffic control is how to resolve the congested situations for the particular time-durations and directions. The heavy load to a certain direction usually leads the intersection to congested situations, and the adjacent intersections are affected. We control and analyze the traffic flow of multi-intersections consisting of five intersections, in which four intersections are linked to the four directions of the central one. The entrance of vehicles of each direction is described using the concept of probability. We compare the performance of the pretimed signal controls to the traffic adaptive signal controller using a Petri Net simulation tool, Exspect.

• 한국통신학회논문지
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• 제28권11B호
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• pp.1038-1049
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• 2003

트래픽 부하 측정은 네트웍 트래픽 엔지니어링의 기반이 된다. 그러나 고속 링크에서 트래픽 부하 정보를 얻기 위해 모든 패킷을 측정하는 것은, 라우터의 패킷 포워딩 성능을 저해시키므로 확장성이 결여된다. 이에 따라 샘플링 기법이 트래픽 측정의 대안으로 제시되었다. 샘플링은 라우터의 성능 저해를 최소화시킬 수 있으나 샘플링으로 예측되는 트래픽 부하는 실제 트래픽 부하와 차이를 보이게 되며, 이와 같은 오류가 제한되지 못한다면 측정값을 기반으로 하는 응용들에 부영향을 미치게 된다. 본 논문에서는 샘플링 오류를 오류 허용범위 내로 제한시킬 수 있는 적응성 있는 패킷 샘플링 기법을 제안한다. 제안 기법은 수학적 분석을 통해 얻어진 부하 예측 오류에 영향을 미치는 주요 트래픽 파라메터를 각 블록의 시작마다 예측하여 샘플링 확률을 동적으로 적응시킨다. 본 논문에서는 또한 실제 측정된 인터넷 트래픽을 이용하여 제안 기법의 확장성과 성능을 검증하였다

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제14권11호
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• pp.4268-4289
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• 2020

Advanced traffic signal timing method plays very important role in reducing road congestion and air pollution. Reinforcement learning is considered as superior approach to build traffic light timing scheme by many recent studies. It fulfills real adaptive control by the means of taking real-time traffic information as state, and adjusting traffic light scheme as action. However, existing works behave inefficient in complex intersections and they are lack of feasibility because most of them adopt traffic light scheme whose phase sequence is flexible. To address these issues, a novel adaptive traffic signal timing scheme is proposed. It's based on actor-critic reinforcement learning algorithm, and advanced techniques proximal policy optimization and generalized advantage estimation are integrated. In particular, a new kind of reward function and a simplified form of state representation are carefully defined, and they facilitate to improve the learning efficiency and reduce the computational complexity, respectively. Meanwhile, a fixed phase sequence signal scheme is derived, and constraint on the variations of successive phase durations is introduced, which enhances its feasibility and robustness in field applications. The proposed scheme is verified through field-data-based experiments in both medium and high traffic density scenarios. Simulation results exhibit remarkable improvement in traffic performance as well as the learning efficiency comparing with the existing reinforcement learning-based methods such as 3DQN and DDQN.

• 컴퓨터교육학회논문지
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• 제9권1호
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• pp.61-70
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• 2006

e-Learning 교육에서 사실상 표준으로 인정받고 있는 ADL에서 제안한 SCORM 2004는 IMS Simple Sequencing을 S&N으로 통합함으로써 학습코스웨어의 학습과정을 구성하는 학습 객체간의 상호 관계를 다양하게 설계, 적용할 수 있게 하였다. 본 논문에서는 SCORM 2004 S&N과 교통신호메타포를 통하여 학습활동을 경험적으로 안내할 수 있는 웹기반 적응형 학습관리를 구현하고자 한다. 이 적응형 학습관리를 통해, 교수자는 동일한 학습콘텐츠를 재사용해서 다양한 학습전략을 구현한 학습코스웨어를 설계할 수 있고, 학습자는 학습상태와 평가를 실시간으로 제공받아 적응적 학습을 안내받을 수 있다.

• KSII Transactions on Internet and Information Systems (TIIS)
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• 제7권1호
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• pp.38-55
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• 2013

Wireless network systems provide fast data transmission rates and various services to users of mobile devices such as smartphones and smart pads. Because many people use high-performance mobile devices, the use of real-time multimedia services is increasing rapidly. However, the preoccupation of resources by real-time traffic users is causing harm to other services-for example, frequent call interference, lowered service quality, and poor network performance. This paper suggests a resource allocation algorithm for effective traffic service support in a hybrid network. The main objective is to obtain an optimum value of data rates by comparing user requirements with the amount of resources that can be allocated. A new mechanism based on Adaptive-Quality of Service (QoS) and a monitoring system based on Queue-Aware are proposed. Adaptive-QoS supports effective resource control according to the type of traffic service, and the monitoring system based on Queue-Aware measures the amount of resources in order to calculate the maximum that can be allocated. We apply our algorithm to a test system and use Qualnet 4.5.1 to evaluate its performance.

• Journal of Communications and Networks
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• 제15권1호
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• pp.15-24
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• 2013

Provisioning of quality of service (QoS) is a key issue in any multi-media system. However, in wireless systems, supporting QoS requirements of different traffic types is a more challenging problem due to the need to simultaneously minimize two performance metrics - the probability of dropping a handover call and the probability of blocking a new call. Since QoS requirements are not as stringent for non-real-time traffic, as opposed to real-time traffic, more calls can be accommodated by releasing some bandwidth from the already admitted non-real-time traffic calls. If the released bandwidth that is used to handle handover calls is larger than the released bandwidth that is used for new calls, then the resulting probability of dropping a handover call is smaller than the probability of blocking a new call. In this paper, we propose an efficient call admission control algorithm that relies on adaptive multi-level bandwidth-allocation scheme for non-realtime calls. The scheme allows reduction of the call dropping probability, along with an increase in the bandwidth utilization. The numerical results show that the proposed scheme is capable of attaining negligible handover call dropping probability without sacrificing bandwidth utilization.

• 한국멀티미디어학회논문지
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• 제11권8호
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• pp.1051-1058
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• 2008

영상처리와 통신 기술의 진보는 통합된 시스템의 일부분으로써 긴급 차량 우선권과 통행 우선 방법 모두를 수용하기 위한 현행 교통 신호 제어기들과 차량 탐지 기술을 가능하게 만들고 있다. 횡단보도에서 현행 교통 신호제어는 고정된 신호 주기에 따라 변하도록 구성되어 있다. 고정된 신호 주기의 신호제어 체계는 통행량이 없는 상황에서도 일정한 신호주기가 주어지기 때문에 상대적으로 교통량이 많은 곳에서는 해당 진행 신호가 부여될 때까지 대기해야 한다. 이러한 대기 시간은 신호 위반에 따른 교통사고의 위험과 교통체증을 유발하게 된다. 본 논문에서는 교통사고의 위험과 교통 체증을 해소하기 위한 방안으로 객체 검출영상을 통하여 현장상황에 맞게 우선적으로 신호가 부여될 수 있도록 적응형 우선순위 교통신호 제어 시스템을 설계하고 시뮬레이션 하였다.