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Self Organizing Maps to Build Intrusion Detection System

V. K. Pachghare, Vivek A. Patole, Dr. Parag Kulkarni
2010 International Journal of Computer Applications  
The name of this algorithm is -Self Organizing Maps‖ (SOM). Neural networks method is a promising technique which has been used in many classification problems.  ...  At the end of the paper we will figure out the advantages and disadvantages of Self Organizing Maps and explain how it is useful for building an Intrusion Detection System.  ...  Training Self Organizing Map For training purpose we constructed a 30x30 Self Organizing Map in order to perform clustering. The data that was used for it was DARPA dataset [7] .  ... 
doi:10.5120/191-328 fatcat:vqve7eyquzfk7dxraalujipcle

Spontaneous Origin of Topological Complexity in Self-Organizing Neural Networks [article]

George Chapline
1996 arXiv   pre-print
In particular it is shown that the effective action governing the formation of synaptic connections in models of networks of feature detectors that encorporate Kohonen-like self-organization can spontaneously  ...  lead to structures that are topologically nontrivial in both a 2-dimensional and 4-dimensional sense.  ...  Our 2-D quantum gravity model for a biological neural network combines the topology of a Hopfield network with the self-organizing property of a Kohonen maps.  ... 
arXiv:adap-org/9610003v1 fatcat:rsrk4o2m2famtkazrxvcknsaiu

Algorithmic Self-Instructing Consciousness

Robert Skopec
2016 NeuroQuantology  
In neuronal information self-transfer is possible formation of a one-to-one topographic map between two neuronal layers, and reconstruction of the intra-layer topology of the parent in the offspring layer  ...  We establish a link between network topology and information integration showing how biologically inspired auto-adaptation improves the consciousness self-instructing.  ...  When the input layer consists of feature detectors, the output layer forms a feature map of the inputs.  ... 
doi:10.14704/nq.2016.14.4.967 fatcat:ykqrdp3rrbb5bei7jkvyauhaj4

A feature-integration theory of attention

Anne M. Treisman, Garry Gelade
1980 Cognitive Psychology  
We focus in this paper on the description of the neural network which was developed to self-organize the system. We present the simulation results of our method.  ...  We aim at designing the intelligent embedded controller of those robots. The controller will be able to selforganize its elements in order to adapt its architecture to the robot behaviour.  ...  INTRODUCTION The aim of this work is to design an intelligent embedded controller that will be able to self-organize its elements in order to adapt its architecture to the robot behavior.  ... 
doi:10.1016/0010-0285(80)90005-5 pmid:7351125 fatcat:bupp5zg53vcrnllc6xt4q52h5q

Player modeling using self-organization in Tomb Raider: Underworld

Anders Drachen, Alessandro Canossa, Georgios N. Yannakakis
2009 2009 IEEE Symposium on Computational Intelligence and Games  
Emergent self-organizing maps are trained on high-level playing behavior data obtained from 1365 players that completed the TRU game.  ...  Subsequently, player models can assist the tailoring of game mechanics in real-time for the needs of the player type identified.  ...  , including but certainly not limited to: Thomas Hagen and the rest of the EIDOS Online Development Team, Janus Rau Sørensen and the rest of the IOI User-Research Team, Tim Ward, Kim Krogh, Noah Hughes  ... 
doi:10.1109/cig.2009.5286500 dblp:conf/cig/DrachenCY09 fatcat:z6gvxk4g4rcw7fuy7ax3ze3dxu

On the performance of neuronal matching algorithms

Rolf P Würtz, Wolfgang Konen, Kay-Ole Behrmann
1999 Neural Networks  
For a solution of the visual correspondence problem we have modified the Self Organizing Map (SOM) to map image planes onto another in a neighborhood-and feature-preserving way.  ...  The results are consistent with an an exponential vs. polynomial scaling behavior with increased pattern size.  ...  Layer A modified Self Organizing Feature Map (SOM) In order to apply the SOM to the correspondence problem we have identified the discrete neuron layer with a discrete layer of neurons X and the input  ... 
doi:10.1016/s0893-6080(98)00112-9 pmid:12662721 fatcat:3x4ahwpdendhhjeus4k4judjii

Towards the Development of an Efficient Intrusion Detection System

Samarjeet Borah, Anindita Chakraborty
2014 International Journal of Computer Applications  
Among these, data mining based methods are comparatively more successful in detecting unknown attack patterns.  ...  It is a set of any actions that attempt to compromise the integrity, confidentiality, or availability of a computer resource.  ...  In construction of self organizing map the first step is initializing weight.  ... 
doi:10.5120/15593-4314 fatcat:q64j7kp6lrg4xm6gpgrpwpqxru

Estimation of conductivity in hydraulic affluents through self-organizing maps (SOM)

Wilson Ricardo López-Sánchez, Cesar Andrey Perdomo-Charry, Jorge Enrique Rodríguez-Rodríguez
2018 Visión electrónica  
This paper shows the use of self-organizing maps applied to water tributaries prediction. Currently, the environment conservation and the efficient water use, are pretty relevant issues.  ...  To measure the water conductivity, it was used a database with parameters of water quality, through the correlation of many involved parameters in water quality.  ...  Self-organizing maps -SOM In Figure 1 , are shown the items composing an organizational map.  ... 
doi:10.14483/22484728.18391 fatcat:hz42gxh4lbhohmobwwvejf5ch4

The Time-Organized Map Algorithm: Extending the Self-Organizing Map to Spatiotemporal Signals

Jan C. Wiemer
2003 Neural Computation  
The new time-organized map (TOM) is presented for a better understanding of the self-organization and geometric structure of cortical signal representations.  ...  in the cortex determines the type of signal topology realized in topographic maps (e.g., spatially or temporally defined signal topology).  ...  Conclusion We have presented a new algorithm denoted time-organized map (TOM) for the self-organization of topography in neural networks based on spatiotemporal signals.  ... 
doi:10.1162/089976603765202695 pmid:12803960 fatcat:gt7lej54unan5bv5pz4cx7n3h4

Adding a healing mechanism in the self-organizing feature map algorithm

Mu-Chun Su, Chien-Hsing Chou, Hsiao-Te Chang
2000 Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks. IJCNN 2000. Neural Computing: New Challenges and Perspectives for the New Millennium  
In this paper, we propose a healing mechanism to repair feature maps that are not well topologically ordered.  ...  It is often reported in the technique literature that the success of the self-organizing feature map (SOM) formation is critically dependent on the initial weights and the selection of main parameters  ...  Jun et al proposed a self-organizing feature map learning algorithm based on incremental ordering [19] . A multilayer self-organizing feature map was proposed in [20] .  ... 
doi:10.1109/ijcnn.2000.859392 dblp:conf/ijcnn/SuCC00 fatcat:kvlus2qe4faxpmk5kpnvdknfku

Self-organization of reconfigurable processing elements during mobile robots missions

Laurent Rodriguez, Jerome Fellus, Benoit Miramond
2011 6th International Workshop on Reconfigurable Communication-Centric Systems-on-Chip (ReCoSoC)  
We focus in this paper on the description of the neural network which was developed to self-organize the system. We present the simulation results of our method.  ...  We aim at designing the intelligent embedded controller of those robots. The controller will be able to selforganize its elements in order to adapt its architecture to the robot behaviour.  ...  INTRODUCTION The aim of this work is to design an intelligent embedded controller that will be able to self-organize its elements in order to adapt its architecture to the robot behavior.  ... 
doi:10.1109/recosoc.2011.5981533 dblp:conf/recosoc/RodriguezFM11 fatcat:2k5wjotbpjhbzdxakzwrqtwsse

Winner-relaxing and winner-enhancing Kohonen maps: Maximal mutual information from enhancing the winner

Jens Christian Claussen
2003 Complexity  
The magnification behaviour of a generalized family of self-organizing feature maps, the Winner Relaxing and Winner Enhancing Kohonen algorithms is analyzed by the magnification law in the one-dimensional  ...  The Winner-Enhancing case allows to acheive a magnification exponent of one and therefore provides optimal mapping in the sense of information theory.  ...  The Kohonen Self Organizing Feature Map The Kohonen algorithm for Self Organizing Feature Maps is defined as follows: Every stimulus v of an euclidian input space V is mapped to the neuron with the position  ... 
doi:10.1002/cplx.10084 fatcat:qdzwvdar5jab7l2yzszmgoj7lq

Intrusion Detection System Using Back Propagation Algorithm and Compare its Performance with Self Organizing Map

Subarna Shakya, Bisho Raj Kaphle
2016 Journal of Advanced College of Engineering and Management  
In this thesis it propose a new learning methodology towards developing a novel intrusion detection system (IDS) by back propagation neural networks (BPN) and self organizing map (SOM) and compare the  ...  It analyzes and predicts the behaviors of users, and then these behaviors will be considered an attack or a normal behavior. The proposed method can significantly reduce the training time required.  ...  neurons = 5 and 10 Simulation is done to analyze the performance of Self Organizing Map in terms of different number of hidden layer, epoch and iteration time required.  ... 
doi:10.3126/jacem.v1i0.14930 fatcat:4yzk6ns6nvg75arueiso6ihcz4

Randomized Self Organizing Map [article]

Nicolas P. Rougier, Georgios Is. Detorakis
2020 arXiv   pre-print
We also demonstrate the ability of the randomized self-organizing map to gracefully reorganize itself in case of neural lesion and/or neurogenesis.  ...  We propose a variation of the self organizing map algorithm by considering the random placement of neurons on a two-dimensional manifold, following a blue noise distribution from which various topologies  ...  Randomized Self-Organizing Map TDA Topological Data Analysis SOM Self-Organizing Map Funding is work was partially funded by grant ANR-17-CE24-0036.  ... 
arXiv:2011.09534v1 fatcat:7wfvrub6krbgzfawmhyystfkhm

Sub-goal based Robot Visual Navigation through Sensorial Space Tesselation

George Palamas, J. Andrew Ware Andrew
2013 International Journal of Advanced Research in Artificial Intelligence (IJARAI)  
During the next step, a genetic algorithm evolves a navigation controller that the robot uses for visual servoing, driving through a set of nodes on the topological map.  ...  Initially a graph based world representation is used to build a map, prior to navigation, through an appearance based scheme using only features associated with color information.  ...  These simulations dictated the effectiveness of the GNG model in recognition speed, classification tasks and in particular topology representation as compared to the popular Kohonen Self Organizing Map  ... 
doi:10.14569/ijarai.2013.021106 fatcat:6eqnvhx3zjdypoypwboxua4w6y
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