• Title/Summary/Keyword: Network Paralysis

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Improved Error Backpropagation Algorithm using Modified Activation Function Derivative (수정된 Activation Function Derivative를 이용한 오류 역전파 알고리즘의 개선)

  • 권희용;황희영
    • The Transactions of the Korean Institute of Electrical Engineers
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    • v.41 no.3
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    • pp.274-280
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    • 1992
  • In this paper, an Improved Error Back Propagation Algorithm is introduced, which avoids Network Paralysis, one of the problems of the Error Backpropagation learning rule. For this purpose, we analyzed the reason for Network Paralysis and modified the Activation Function Derivative of the standard Error Backpropagation Algorithm which is regarded as the cause of the phenomenon. The characteristics of the modified Activation Function Derivative is analyzed. The performance of the modified Error Backpropagation Algorithm is shown to be better than that of the standard Error Back Propagation algorithm by various experiments.

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Implementation of IPv6 Neighbor Discovery Protocol supporting CGA

  • Kim Joong Min;Park In Kap;Yu Jae Wook
    • Proceedings of the IEEK Conference
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    • 2004.08c
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    • pp.571-575
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    • 2004
  • Having age of ubiquitous ahead, existing IPv4's address space insufficiency phenomenon appears because of increasing network usage as well as multimedia data transmission becomes much, necessity of new IP address system that guarantee QoS are needed. IPv6 was made to solve these problem. IPv6 solves address space insufficiency phenomenon offering by 128bit address space, and also offers hierarchical address layer that support improved QoS. IPv6 defines relation between surrounding node using Neighbor Discovery protocol. Used Neighbor Discovery messages, grasp surrounding node, include important informations about network. These network information outcrops can give rise in network attack and also service that use network will paralysis. Various kinds of security limitation was found in Present Neighbor Discovery protocol therefore security function to supplement tris problem was required. In this thesis, Secure Neighbor Discovery protocol that add with security function was design and embody by CGA module and SEND module.

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A Study on the Principles of Military Operations Coincident with Modern War (현대전 양상에 부합된 군사작전 원칙에 관한 연구)

  • Lee, Kang-Un;Choi, Sung-Soo
    • Journal of National Security and Military Science
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    • s.7
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    • pp.129-154
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    • 2009
  • The principles of military operations(principles of war) are the fundamental principles ruling warfighting that made based on the experiences of wars from the time of ancient Greeks to the World War II. Recent wars such as Iraq War showed us the change of environment of war and the style of waging a war. It is believed that future war will be executed with the style of Rapid Deceive Operations, Effect Based Operations, Network Centric Operations. Therefor the principles of war which we use should be reconsidered whether it is useful or not in future warfare. By considering the present principles of operation which are using in many countries and analysing the style of waging future war, we suggest new principles of operations : principle of gravity, principle of mass and dispersal, principle of disturbance, principle of speed, principle of paralysis, principle of synchronization and integration, principle of leadership, and principle of information.

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A Study on Implementation of IPv6 Neighbor Discovery Protocol supporting Security Function (보안기능을 지원하는 IPv6 ND Protocol 구현에 관한 연구)

  • Yu Jae-Wook;Park In-Kap;Kim Joong-Min
    • Journal of the Institute of Electronics Engineers of Korea TC
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    • v.41 no.12
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    • pp.33-40
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    • 2004
  • IPv6 defines relation between surrounding node using Neighbor Discovery protocol. Used Neighbor Discovery messages, grasp surrounding node, include important informations about network. These network information outcrops can give rise in network attack and also service that use network will paralysis. Various kinds of security limitation was found in Present Neighbor Discovery protocol therefore security function to supplement this problem was required. In this thesis, Secure Neighbor Discovery protocol that add with suity function was design and embody by CGA module and SEND module.

A Study on Tools for Worm Virus & DDoS Detection (대규모 백본망의 웜 바이러스와 분산서비스거부공격 탐지시스템 연구)

  • Lee Myung-Sun;Lee Jae-Kwang
    • The KIPS Transactions:PartC
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    • v.11C no.7 s.96
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    • pp.993-998
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    • 2004
  • As Worm Virus & DDoS attack appeares, the targets and damage of infringement accidents are extending from specific system or services to paralysis of the network itself. These attacks are expending very frequently and strongly, and ISP who will be used as the path of these attacks will face serious damages. But compare to Worm Virus & DDoS attack that generally occures in many Systems at one time with it's fast propagation velocity, network dimensional opposition is slow and disable to deal with the whole appearance for it is operated manually by the network manager. Therefore, this treatise present devices how to detect Worm Virus & DDoS attack's outbreak and the attacker(attacker IP adderss) automatically.

A Study about Early Detection Techniques of Cyber Threats Based Honey-Net (허니넷 기반의 사이버위협 조기탐지기법 연구)

  • Lee, Dong-Hwi;Lee, Sang-Ho;J. Kim, Kui-Nam
    • Convergence Security Journal
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    • v.5 no.4
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    • pp.67-72
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    • 2005
  • The exponential increase of malicious and criminal activities in cyber space is posing serious threat which could destabilize the foundation of modern information society. In particular, unexpected network paralysis or break-down created by the spread of malicious traffic could cause confusion and disorder in a nationwide scale, and unless effective countermeasures against such unexpected attacks are formulated in time, this could develop into a catastrophic condition. In order to solve a same problem, this paper researched early detection techniques for only early warning of cyber threats with separate way the detection due to and existing security equipment from the large network. It researched the cyber example alert system which applies the module of based honeynet from the actual large network and this technique against the malignant traffic how many probably it will be able to dispose effectively from large network.

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A Study of Internet Address Collision Detection Method (인터넷 주소 충돌 감지에 관한 연구)

  • 위선정;임영희;이태헌;박기홍
    • Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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    • 2004.05b
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    • pp.545-547
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    • 2004
  • Currently possibility of the change of seal computer it increases geometrical progression and the general individuals the knowledge which is special regarding the ip are using the flow child blood which it Provides without from the isp enterprise. But most of the case peon of the school which uses the fixation child blood or the company because is not the knowledge against a TCP/IP address is not oneself at deliberation or real income and it will use the TCP/IP address of the different user and the network whole it will paralyze, the original user will not be able to use the network and it makes. With information where address information where the network administrator present time after data base anger one uses address information of the civil official objective personal computers and network systems of the watch inside in the dictionary is stored will be same from the dissertation which it sees hereupon and the web which it will yell it leads and packet it detects, the use of the TCP/IP address which goes wrong in the user and it notifies the method which is the possibility of closing the paralysis of the network system which it follows in the IP address fringe land due to a deliberation or a real income to sleep it presents it does.

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Fuzzy Supervised Learning Algorithm by using Self-generation (Self-generation을 이용한 퍼지 지도 학습 알고리즘)

  • 김광백
    • Journal of Korea Multimedia Society
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    • v.6 no.7
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    • pp.1312-1320
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    • 2003
  • In this paper, we consider a multilayer neural network, with a single hidden layer. Error backpropagation learning method used widely in multilayer neural networks has a possibility of local minima due to the inadequate weights and the insufficient number of hidden nodes. So we propose a fuzzy supervised learning algorithm by using self-generation that self-generates hidden nodes by the compound fuzzy single layer perceptron and modified ART1. From the input layer to hidden layer, a modified ART1 is used to produce nodes. And winner take-all method is adopted to the connection weight adaptation, so that a stored pattern for some pattern gets updated. The proposed method has applied to the student identification card images. In simulation results, the proposed method reduces a possibility of local minima and improves learning speed and paralysis than the conventional error backpropagation learning algorithm.

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Muscular Adaptations and Novel Magnetic Resonance Characterizations of Spinal Cord Injury

  • Lim, Woo-Taek
    • Physical Therapy Korea
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    • v.22 no.2
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    • pp.70-80
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    • 2015
  • The spinal cord is highly complex, consisting of a specialized neural network that comprised both neuronal and non-neuronal cells. Any kind of injury and/or insult to the spinal cord leads to a series of damaging events resulting in motor and/or sensory deficits below the level of injury. As a result, muscle paralysis (or paresis) leading to muscle atrophy or shrinking of the muscle along with changes in muscle fiber type, and contractile properties have been observed. Traditionally, histology had been used as a gold standard to characterize spinal cord injury (SCI)-induced adaptation in spinal cord and skeletal muscle. However, histology measurements is invasive and cannot be used for longitudinal analysis. Therefore, the use of conventional magnetic resonance imaging (MRI) is promoted to be used as an alternative non-invasive method, which allows the repeated measurements over time and secures the safety against radiation by using radiofrequency pulse. Currently, many of pathological changes and adaptations occurring after SCI can be measured by MRI methods, specifically 3-dimensional MRI with the advanced diffusion tensor imaging technique. Both techniques have shown to be sensitive in measuring morphological and structural changes in skeletal muscle and the spinal cord.

A Study on Enhanced Self-Generation Supervised Learning Algorithm for Image Recognition (영상 인식을 위한 개선된 자가 생성 지도 학습 알고리듬에 관한 연구)

  • Kim, Tae-Kyung;Kim, Kwang-Baek;Paik, Joon-Ki
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.30 no.2C
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    • pp.31-40
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    • 2005
  • we propose an enhanced self-generation supervised algorithm that by combining an ART algorithm and the delta-bar-delta method. Form the input layer to the hidden layer, ART-1 and ART-2 are used to produce nodes, respectively. A winner-take-all method is adopted to the connection weight adaption so that a stored pattern for some pattern is updated. we test the recognition of student identification, a certificate of residence, and an identifier from container that require nodes of hidden layers in neural network. In simulation results, the proposed self-generation supervised learning algorithm reduces the possibility of local minima and improves learning speed and paralysis than conventional neural networks.