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Self Organizing Maps to Build Intrusion Detection System
2010
International Journal of Computer Applications
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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]
1996
arXiv
pre-print
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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
2016
NeuroQuantology
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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
1980
Cognitive Psychology
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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
2009
2009 IEEE Symposium on Computational Intelligence and Games
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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
1999
Neural Networks
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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
2014
International Journal of Computer Applications
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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)
2018
Visión electrónica
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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
2003
Neural Computation
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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
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
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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
2011
6th International Workshop on Reconfigurable Communication-Centric Systems-on-Chip (ReCoSoC)
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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
2003
Complexity
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2006 pre-print arXiv:cond-mat/0609513v1 fatcat:n7bkjzfawvgyregq2r7xqssquu
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
2016
Journal of Advanced College of Engineering and Management
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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]
2020
arXiv
pre-print
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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
2013
International Journal of Advanced Research in Artificial Intelligence (IJARAI)
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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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