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IDS Based on Bio-inspired Models [chapter]

Paolo Gastaldo, Francesco Picasso, Rodolfo Zunino, Álvaro Herrero, Emilio Corchado, José Manuel Sáiz
2007 Lecture Notes in Computer Science  
This work also highlights the importance of the time-information dependence in the identification of anomalous situations in the case of the applied methods.  ...  The involved technologies assist a network manager in detecting anomalies and potential threats by an intuitive display of the progression of network traffic.  ...  This research has been partially supported by the MCyT project TIN2004-07033.  ... 
doi:10.1007/978-3-540-74827-4_17 fatcat:qrackskmafbd5gjd36psqmy4ce

Kernel Maximum Likelihood Hebbian Learning [chapter]

Jos Koetsier, Emilio Corchado, Donald MacDonald, Juan Corchado, Colin Fyfe
2004 Lecture Notes in Computer Science  
TITLE: Identification of Visual Features Using a Neural Version of Exploratory Projection Pursuit. AUTHORS: Corchado E., Fyfe C. (2002).  ...  TITLE: Identification of Anomalous SNMP Situations Using a Cooperative Connectionist Exploratory Projection Pursuit Model.  ... 
doi:10.1007/978-3-540-24687-9_94 fatcat:pqy6g6cvb5dmtcozia4d4gxelq

Neural visualization of network traffic data for intrusion detection

Emilio Corchado, Álvaro Herrero
2011 Applied Soft Computing  
This system applies neural projection architectures to detect anomalous situations taking place in a computer network.  ...  These projections are then depicted through a functional and mobile visualization interface, providing visual information of the internal structure of the traffic data.  ...  by using neural unsupervised methods based on Exploratory Projection Pursuit (EPP) [44] [45] .  ... 
doi:10.1016/j.asoc.2010.07.002 fatcat:rbhjxoag25fctol6fyj3go32ui

Soft Computing Techniques for Skills Assessment of Highly Qualified Personnel [chapter]

Héctor Quintián, Roberto Vega, Vicente Vera, Ignacio Aliaga, Cristina González Losada, Emilio Corchado, Fanny Klett
2014 Advances in Intelligent Systems and Computing  
Several Exploratory Projection Pursuit techniques are successfully applied to a novel and real dataset for the assessment of personnel skills and to identify weaknesses to be improved in a later phase.  ...  and thus, the human resources management as a whole and saving training costs.  ...  Acknowledgement This research is partially supported by the Spanish Ministry of Economy and Competitiveness under project TIN2010-21272-C02-01 (funded by the European Regional Development Fund) and SA405A12  ... 
doi:10.1007/978-3-319-01854-6_68 fatcat:g7lwawxlzzfz3dxfyd62skk5su

Hybrid Multi Agent-Neural Network Intrusion Detection with Mobile Visualization [chapter]

Álvaro Herrero, Emilio Corchado, María A. Pellicer, Ajith Abraham
2007 Advances in Soft Computing  
The proposed improvement of the system in this paper includes deliberative agents that use the artificial neural network to identify intrusions in computer networks.  ...  This paper presents the structure of the Mobile Visualization Connectionist Agent-Based IDS, more flexible and adaptable.  ...  This research has been partially supported by the MCyT project TIN2004-07033 and the project BU008B05 of the JCyL.  ... 
doi:10.1007/978-3-540-74972-1_42 dblp:series/asc/HerreroCPA08 fatcat:6ctp5rnbw5fddkejloaialltee

Neural projection techniques for the visual inspection of network traffic

Álvaro Herrero, Emilio Corchado, Paolo Gastaldo, Rodolfo Zunino
2009 Neurocomputing  
Toward that end, neural projection techniques can map high-dimensional data into a low-dimensional space adaptively, for the user-friendly visualization of monitored network traffic.  ...  A crucial aspect in network monitoring for security purposes is the visual inspection of the traffic pattern, mainly aimed to provide the network manager with a synthetic and intuitive representation of  ...  This research has been partially supported by the project BU006A08 of the JCyL.  ... 
doi:10.1016/j.neucom.2008.12.038 fatcat:vi55fw5osrawhi3ijw3zswosga

Three-Dimensional Object Recognition Using an Unsupervised BCM Network: The Usefulness of Distinguishing Features

Nathan Intrator, Joshua I. Gold
1993 Neural Computation  
F~nallv, the excellent computational facilities of the Cognitive Science Departmen, at Brown University allowed us to complete the simulations required for this project.  ...  Research was supported by the National Science Foundation, the Army hesearch Office, ard the Office of Naval Research.  ...  the projected distribution. 3 A general framework for featlire extraction is Projection Pursuit, and its unsupervised version -Exploratory Projection Pursuit (Kruskal, 1969; Friedman and Tukey, 1974  ... 
doi:10.1162/neco.1993.5.1.61 fatcat:v3wuttx325fo7a2ygciidrrk6e

Intrusion Detection with Unsupervised Techniques for Network Management Protocols over Smart Grids

Rafael Alejandro Vega Vega, Pablo Chamoso-Santos, Alfonso González Briones, José-Luis Casteleiro-Roca, Esteban Jove, María del Carmen Meizoso-López, Benigno Antonio Rodríguez-Gómez, Héctor Quintián, Álvaro Herrero, Kenji Matsui, Emilio Corchado, José Luis Calvo-Rolle
2020 Applied Sciences  
A novel neural projectionist technique (Beta Hebbian Learning, BHL) has been employed to get a general visual representation of the traffic of a network, making it possible to identify any abnormal behaviours  ...  The contribution of this paper to the state of the art lies in the identification of cyberattacks that produce anomalous behaviour in network management protocols.  ...  Conflicts of Interest: The authors declare no conflict of interest.  ... 
doi:10.3390/app10072276 fatcat:mc7eswnc3vfrxi5fpl6kjezm5q

A novel hybrid intelligent system for multi-objective machine parameter optimization

Raquel Redondo, Javier Sedano, Vicente Vera, Beatriz Hernando, Emilio Corchado
2013 Pattern Analysis and Applications  
The intelligent system is based on the application of evolutionary and neural computation in conjunction with identification systems, which makes it possible to optimize the implementation conditions in  ...  The experiments are carried out based on real dental milling processes using a high precision machining centre with five axes, requiring high finishing precision of measures in micrometers with a large  ...  Acknowledgments This research is partially supported through projects of the Spanish Ministry of Economy and Competitiveness [ref: TIN2010-21272-C02-01 (funded by the European Regional Development Fund  ... 
doi:10.1007/s10044-013-0345-7 fatcat:yd24lqcwvzfkhdyc6kyxcrt47a

An Unsupervised Neural Model to Analyse Thermal Properties of Construction Materials [chapter]

Emilio Corchado, Pedro Burgos, María del Mar Rodríguez, Verónica Tricio
2004 Lecture Notes in Computer Science  
This study proposes a new approach to feature selection and the identification of underlaying factors.  ...  The goal of this method is to visualize and extract information from complex and high dimensional data sets.  ...  Introduction We introduce a method which is closely related to exploratory projection pursuit. It is an extension of a neural model based on the Negative Feedback artificial neural network [3] .  ... 
doi:10.1007/978-3-540-24687-9_26 fatcat:aen7nthe2fbg7oxlhe55biyoai


Álvaro Herrero, Emilio Corchado, Lourdes Sáiz, Ajith Abraham
2010 Computational intelligence  
The research also analyses the future for powerful neural projection models in the emerging field of KM by reviewing a variety of robust unsupervised projection architectures, all of which are used to  ...  An initial "Data Acquisition" step, in which key data is captured, is followed by an "Intelligent Processing" step, using neural projection architectures.  ...  Exploratory Projection Pursuit EPP (Friedman and Tukey 1974) is a statistical technique for solving the complex problem of identifying structure in high-dimensional data.  ... 
doi:10.1111/j.1467-8640.2009.00351.x fatcat:oiia37qyjng5nbwvbbrxqefcyi

Clustering extension of MOVICAB-IDS to identify SNMP community searches

R. Sanchez, A. Herrero, E. Corchado
2014 Logic Journal of the IGPL  
The proposed MOVICAB-IDS then applied an unsupervised neural projection model to extract interesting traffic dataset projections and to display them through a mobile visualization interface.  ...  Through the experimental stage, it is shown that the combination of clustering and neural projection improves the detection capability on a continuous network flow.  ...  CMLHL The standard statistical method of Exploratory Projection Pursuit (EPP) [26] provides a linear projection of a dataset, but it projects the data onto a set of basis vectors which best reveal the  ... 
doi:10.1093/jigpal/jzu035 fatcat:w3n2jxg675ferawlfa2s35hly4

Review of Dimension Reduction Methods

Salifu Nanga, Ahmed Tijani Bawah, Benjamin Ansah Acquaye, Mac-Issaka Billa, Francis Delali Baeta, Nii Afotey Odai, Samuel Kwaku Obeng, Ampem Darko Nsiah
2021 Journal of Data Analysis and Information Processing  
MDS has been applied in exploratory data analysis visualization and multivariate analysis. A limitation of MDS is that it is sensitive to outliers.  ...  A measure of "interestingness" is employed to this end, which is known as projection pursuit index (PP index).  ... 
doi:10.4236/jdaip.2021.93013 fatcat:tlgvjk6xzbfe5gristkd7ww4tq

MOVIH-IDS: A mobile-visualization hybrid intrusion detection system

Álvaro Herrero, Emilio Corchado, María A. Pellicer, Ajith Abraham
2009 Neurocomputing  
A novel hybrid artificial intelligent system for intrusion detection, called MObile-VIsualization Hybrid IDS (MOVIH-IDS), is presented in this study.  ...  The proposed improvement of the system in this paper includes deliberative agents characterized by the use of an unsupervised connectionist model to identify intrusions in computer networks.  ...  Acknowledgement This research has been partially supported by the project BU006A08 of the JCyL.  ... 
doi:10.1016/j.neucom.2008.12.033 fatcat:vm4a4dlo5bbotcl2ol6pmbcroy

Face Identification based Bio-Inspired Algorithms

Sanaa Ghouzali, Souad Larabi
2018 ˜The œinternational Arab journal of information technology  
In this paper, we use Projection Pursuit (PP) methods to determine clusters of individuals. Support Vector Machine (SVM) classifiers are then applied on each cluster of users separately.  ...  Experimental results obtained using YALE face database showed improvement in the performance and speed of face identification system  ...  Another type of exploratory data analysis methods is Projection Pursuit (PP).  ... 
doi:10.34028/iajit/17/1/14 fatcat:ssbpjisierfq5ksfprd427cz5e
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