• Title/Summary/Keyword: Integrated Networks

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A Development of Web-based Integrated Security Management System for Firewalls (웹 기반의 방화벽 통합 보안 관리 시스템 개발)

  • Lee, Dong-Young;Kim, Dong-Soo;Hong, Seung-Sun;Chung, Tai-Myoung
    • The Transactions of the Korea Information Processing Society
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    • v.7 no.10
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    • pp.3171-3181
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    • 2000
  • With a remarkable growth and expansionof Internet, the security issues emerged from intrusions and attacks such as computer viruses, dental of servives and backings to destroy intormation have been considered as serious threats for Internet and the provate networks. To protect networks from those attacks, many nendors have developed various security systems such as firewalls, intrusion detection systems, and access control systems. However managing those systems individually requres too much work and high cost. Thus, integrated security managemanet and eatabliashment of consistent security policy for various security products has become more important. In this paper, we propose integrated security manabement system called WISMSF(Web based Integrated Security Management System for Fireswalls) to monitor and contro various kinds of firewalls WISMSF consists of three components-clients, integrated engine, and agents. It supports the transparent management functions of security products, easy ways of defining security policies, and simple expansion of managed ranges.

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An Efficient Cache Mechanism for Improving Response Times in Integrated RFID Middleware (통합 RFID 미들웨어의 응답시간 개선을 위한 효과적인 캐쉬 구조 설계)

  • Kim, Cheong-Ghil;Lee, Jun-Hwan;Park, Kyung-Lang;Kim, Shin-Dug
    • The KIPS Transactions:PartA
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    • v.15A no.1
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    • pp.17-26
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    • 2008
  • This paper proposes an efficient caching mechanism appropriate for the integrated RFID middleware which can integrate wireless sensor networks (WSNs) and RFID (radio frequency identification) systems. The operating environment of the integrated RFID middleware is expected to face the situations of a significant amount of data reading from RFID readers, constant stream data input from large numbers of autonomous sensor nodes, and queries from various applications to history data sensed before and stored in distributed storages. Consequently, an efficient middleware layer equipping with caching mechanism is inevitably necessary for low latency of request-response while processing both data stream from sensor networks and history data from distributed database. For this purpose, the proposed caching mechanism includes two optimization methods to reduce the overhead of data processing in RFID middleware based on the classical cache implementation polices. One is data stream cache (DSC) and the other is history data cache (HDC), according to the structure of data request. We conduct a number of simulation experiments under different parameters and the results show that the proposed caching mechanism contributes considerably to fast request-response times.

SDN-Based Middlebox Management Framework in Integrated Wired and Wireless Networks (유무선 통합망에서의 SDN 기반 미들박스 관리 프레임워크)

  • Lee, Giwon;Jang, Insun;Kim, Wontae;Joo, Sukjin;Kim, Myungsoo;Pack, Sangheon;Kang, Chul-Hee
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.39B no.6
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    • pp.379-386
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    • 2014
  • Recently, middleboxes play a key role in many network settings such as firewalls, VPN gateways, proxies, intrusion detection and prevention systems, and WAN optimizers. However, achieving the performance and security benefits that middleboxes offer is highly complex, and therefore it is essential to manage middleboxes efficiently and dynamically. In this respect, Software-Defined Networking (SDN) offers a promising solution for middlebox policy enforcement by using logically centralized management, decoupling the data and control planes, and providing the ability to programmatically configure forwarding rules. Also, cloud computing and distributed Network Function Virtualization (NFV) can enable to manage middleboxes more easily. We introduce SDN-based middlebox management framework in integrated wired and wireless networks and discuss the further issues.

Qualitative Simulation on the Dynamics between Social Capital and Business Performance in Strategic Networks

  • Kim, Dong-Seok;Chung, Chang-Kwon
    • Journal of Distribution Science
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    • v.14 no.9
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    • pp.31-45
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    • 2016
  • Purpose - This study develops a simulation model that looks at the dynamics between social capital and business performance in strategic networks to understand their behaviors in relation to each other, and to suggest dynamic relationship strategies. Research design, data, and methodology - Based on existing literature, this study identifies the complex causal loop diagram on social capital and business performance in strategic networks, and converts them into a simulation model for observing how the changes in business environment and relationship dependency affect social capital and business performance. Results - The simulation results showed that, first, the formation in social capital and business performance of networks with low relationship dependency was less affected by the changes in business environment. Second, the formation in social capital and business performance of networks with high relationship dependency was negatively impacted by the changes in business environment. In other words, higher relationship dependency strengthened the impact of changes in business environment on business performance. Conclusions - Thus, this study confirmed that in strategic networks, the changes in business environment and the degree of relationship dependency dynamically affect business performance, and that relationship dependency mediates the degree in which changes in the business environment affect business performance. The results of the simulations were further verified through actual business cases.

Backpropagation Classification of Statistically

  • Kim, Sungmo;Kim, Byungwhan
    • 제어로봇시스템학회:학술대회논문집
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    • 2002.10a
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    • pp.46.2-46
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    • 2002
  • Plasma processing plays a crucial role in fabricating integrated circuits (ICs). Manufacturing ICs in a cost effective way, it is increasingly demanded a computer model that predicts plasma properties to unknown process inputs. Physical models are limited in the prediction accuracy since they are subject to many assumptions. Expensive computation time is another hindrance that prevents their widespread used in manufacturing site. To circumvent these difficulties inherent in physical models, neural networks have been used to learn nonlinear plasma data [1]. Among many types of networks, a backpropagation neural network (BPNN) is the most widely used architecture. Many training variables are...

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CMOS Chaotic Neuron for Chaotic Neural Networks (카오스 신경망을 위한 CMOS 혼돈 뉴런)

  • 송한정;곽계달
    • Proceedings of the IEEK Conference
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    • 2000.11c
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    • pp.5-8
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    • 2000
  • Voltage mode chaotic neuron has been designed in integrated circuit and fabricated by using 0.8$\mu\textrm{m}$ single poly CMOS technology. The fabricated CMOS chaotic neuron consist of chaotic signal generator and sigmoid output function. This paper presents an analysis of the chaotic behavior in the voltage mode CMOS chaotic neuron. From empirical equations of the chaotic neuron, the dynamical responses such as time series, bifurcation, and average firing rate are calculated. And, results of experiments in the single chaotic neuron and chaotic neural networks by two neurons are shown and compared with the simulated results.

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A Fuzzy Neural Network: Structure and Learning

  • Figueiredo, M.;Gomide, F.;Pedrycz, W.
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 1993.06a
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    • pp.1171-1174
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    • 1993
  • A promising approach to get the benefits of neural networks and fuzzy logic is to combine them into an integrated system to merge the computational power of neural networks and the representation and reasoning properties of fuzzy logic. In this context, this paper presents a fuzzy neural network which is able to code fuzzy knowledge in the form of it-then rules in its structure. The network also provides an efficient structure not only to code knowledge, but also to support fuzzy reasoning and information processing. A learning scheme is also derived for a class of membership functions.

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Whale Optimization Algorithm and Blockchain Technology for Intelligent Networks

  • Sulthana, Shazia;Reddy, BN Manjunatha
    • International Journal of Computer Science & Network Security
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    • v.22 no.7
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    • pp.157-164
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    • 2022
  • The proposed privacy preserving scheme has identified the drawbacks of existing schemes in Vehicular Networks. This prototype enhances the number of nodes by decreasing the cluster size. This algorithm is integrated with the whale optimization algorithm and Block Chain Technology. A set of results are done through the NS-2 simulator in the direction to check the effectiveness of proposed algorithm. The proposed method shows better results than with the existing techniques in terms of Delay, Drop, Delivery ratio, Overhead, throughout under the denial of attack.

Internet-based Distributed Control Networks. (인터넷을 이용한 분산제어 구현을 위한 네트워킹)

  • 송기원;최기상;최기흥
    • Proceedings of the Korean Society of Precision Engineering Conference
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    • 2001.04a
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    • pp.582-585
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    • 2001
  • Requirements for device networks differ greatly from those of data(business) networks. Consequently, any control network technology which uses a fieldbus protocol is, in general, different from IP network protocol TCP/IP. One needs to integrate fieldbus protocol and TCP/IP to realize distributed control over IP network or internet. This paper suggests a basic concept that can be applied to distributed control over IP network or internet. Specifically, LonWorks technology that uses LonTalk protocol is reviewed as device network. LonWorks technology provides networked intelligent I/O and controllers which make it a powerful, expandable solution. It is also addressed that many hardwired PLCs can be replaced by LonWorks devices. Connecting these remote LonWorks networks to the Internet can provide a powerful, integrated, distributed control system.

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사례기반추론을 이용한 다이렉트 마케팅의 고객반응예측모형의 통합

  • Hong, Taeho;Park, Jiyoung
    • The Journal of Information Systems
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    • v.18 no.3
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    • pp.375-399
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    • 2009
  • In this study, we propose a integrated model of logistic regression, artificial neural networks, support vector machines(SVM), with case-based reasoning(CBR). To predict respondents in the direct marketing is the binary classification problem as like bankruptcy prediction, IDS, churn management and so on. To solve the binary problems, we employed logistic regression, artificial neural networks, SVM. and CBR. CBR is a problem-solving technique and shows significant promise for improving the effectiveness of complex and unstructured decision making, and we can obtain excellent results through CBR in this study. Experimental results show that the classification accuracy of integration model using CBR is superior to logistic regression, artificial neural networks and SVM. When we apply the customer response model to predict respondents in the direct marketing, we have to consider from the view point of profit/cost about the misclassification.

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