Computational Intelligence in Security for Information Systems 2010

1. Front Matter

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2. Chapter 1: Machine Learning and Intelligence

   1. Front Matter

      Pages 1-1

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   2. An Incremental Density-Based Clustering Technique for Large Datasets

      • Saif ur Rehman, Muhammed Naeem Ahmed Khan

      Pages 3-11

   3. BSDT ROC and Cognitive Learning Hypothesis

      • Petro Gopych, Ivan Gopych

      Pages 13-23

   4. Evolving Fuzzy Classifier for Data Mining - an Information Retrieval Approach

      • Pavel Krömer, Václav Snášel, Jan Platoš, Ajith Abraham

      Pages 25-32

   5. Mereotopological Analysis of Formal Concepts in Security Ontologies

      • Gonzalo A. Aranda-Corral, Joaquín Borrego-Díaz

      Pages 33-40

3. Chapter 2: Agents and Multi-Agent Systems

   1. Front Matter

      Pages 41-41

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   2. A Multi-agent Data Mining System for Defect Forecasting in a Decentralized Manufacturing Environment

      • Javier Alfonso Cendón, Ana González Marcos, Manuel Castejón Limas, Joaquín Ordieres Meré

      Pages 43-50

   3. A Distributed Hierarchical Multi-agent Architecture for Detecting Injections in SQL Queries

      • Cristian Pinzón, Juan F. De Paz, Álvaro Herrero, Emilio Corchado, Javier Bajo

      Pages 51-59

   4. Incorporating Temporal Constraints in the Analysis Task of a Hybrid Intelligent IDS

      • Martí Navarro, Emilio Corchado, Vicente Julián, Álvaro Herrero

      Pages 61-69

4. Chapter 3: Image, Video and Speech Processing

   1. Front Matter

      Pages 71-71

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   2. Performances of Speech Signal Biometric Systems Based on Signal to Noise Ratio Degradation

      • Dzati Athiar Ramli, Salina Abdul Samad, Aini Hussain

      Pages 73-80

   3. Lipreading Using n–Gram Feature Vector

      • Preety Singh, Vijay Laxmi, Deepika Gupta, M. S. Gaur

      Pages 81-88

   4. Face Processing for Security: A Short Review

      • Ion Marqués, Manuel Graña

      Pages 89-96

5. Chapter 4: Network Security

   1. Front Matter

      Pages 97-97

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   2. Ontologies-Based Automated Intrusion Response System

      • Verónica Mateos Lanchas, Víctor A. Villagrá González, Francisco Romero Bueno

      Pages 99-106

   3. Semi-supervised Fingerprinting of Protocol Messages

      • Jérôme François, Humberto Abdelnur, Radu State, Olivier Festor

      Pages 107-115

   4. Monitoring of Spatial-Aggregated IP-Flow Records

      • Cynthia Wagner, Gerard Wagener, Radu State, Thomas Engel

      Pages 117-124

   5. Improving Network Security through Traffic Log Anomaly Detection Using Time Series Analysis

      • Aitor Corchero Rodriguez, Mario Reyes de los Mozos

      Pages 125-133

   6. A Threat Model Approach to Threats and Vulnerabilities in On-line Social Networks

      • Carlos Laorden, Borja Sanz, Gonzalo Alvarez, Pablo G. Bringas

      Pages 135-142

rd The 3 International Conference on Computational Intelligence in Security for Information Systems (CISIS 2010) provided a broad and interdisciplinary forum to present the most recent developments in several very active scientific areas such as Machine Learning, Infrastructure Protection, Intelligent Methods in Energy and Transportation, Network Security, Biometry, Cryptography, High-performance and Grid Computing, and Industrial Perspective among others. The global purpose of CISIS series of conferences has been to form a broad and interdisciplinary meeting ground offering the opportunity to interact with the leading research team and industries actively involved in the critical area of security, and have a picture of the current solutions adopted in practical domains. This volume of Advances in Intelligence and Soft Computing contains accepted papers presented at CISIS 2010, which was held in León, Spain, on November 11–12, 2010. CISIS 2010 received over 50 technical submissions. After a thorough peer-review process, the International Program Committee - lected 25 papers which are published in this conference proceedings. This allowed the Scientific Committee to verify the vital and crucial nature of the topics - volved in the event, and resulted in an acceptance rate close to 50% of the ori- nally submitted manuscripts.

• Multi-agent system
• Ontologie
• Transport
• agents
• computational intelligence
• data mining
• database
• environment
• information system
• learning
• machine learning
• model
• proving
• speech processing

• Civil Engineering Department, Polytechnic School, University of Burgos, Burgos, Spain

  Álvaro Herrero

• Departamento de Informáca y Automática, Facultad de Biología, University of Salamanca, Salamanca, Spain

  Emilio Corchado

• Castilla y León, Fundación Centro de Supercomputación, Leon, Spain

  Carlos Redondo

• Castilla y León, Fundación Centro de Supercomputación, León, Spain

  Ángel Alonso

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