Network Anomaly Detection Based on DSOM and ACO Clustering

No abstract is available for this paper.

• Publication year

  2007

• Venue

  International Symposium on Neural Networks

• Publication date

  2007-06-03

• Fields of study

  Computer Science

• Identifiers
  DOI 10.1007/978-3-540-72393-6_113
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Data Mining for Security Applications

  2008cited by this paper
• An unsupervised anomaly intrusion detection algorithm based on swarm intelligence

  2005cited by this paper
• Intrusion Detection Based on Dynamic Self-organizing Map Neural Network Clustering

  2005cited by this paper
• Advances in neural networks - ISNN 2005 : Second International Symposium on Neural Networks, Chongqing, China, May 30 - June 1, 2005 : proceedings

  2005cited by this paper
• A GEOMETRIC FRAMEWORK FOR UNSUPERVISED ANOMALY DETECTION: DETECTING INTRUSIONS IN UNLABELED DATA

  2002cited by this paper
• Learning nonstationary models of normal network traffic for detecting novel attacks

  2002cited by this paper
• Neuro-Immune and Self-Organizing Map Approaches to Anomaly Detection: A Comparison

  2002cited by this paper
• Using artificial anomalies to detect unknown and known network intrusions

  2001cited by this paper
• A clustering algorithm based on swarm intelligence

  2001cited by this paper
• Intrusion detection with unlabeled data using clustering

  2000cited by this paper
• Representation of Document Archives for Interactive Exploration

  2000cited by this paper
• Data Mining: Concepts and Techniques

  2000cited by this paper
• An Application of Machine Learning to Anomaly Detection

  1999cited by this paper
• AI Approaches to Fraud Detection and Risk Management

  1998cited by this paper
• Sequence Matching and Learning in Anomaly Detection for Computer Security

  1997cited by this paper
• Self-Organizing Maps

  1995cited by this paper
• Diversity and adaptation in populations of clustering ants

  1994cited by this paper
• Self-nonself discrimination in a computer

  1994cited by this paper

• A Novel Evaluation Model for Urban Smart Growth Based on Principal Component Regression and Radial Basis Function Neural Network

  2019cites this paper
• Application of improved SOM network in gene data cluster analysis

  2019cites this paper
• HONEYBEE PROTECTION SYSTEM FOR DETECTING AND PREVENTING NETWORK ATTACKS

  2014cites this paper
• Nature-Inspired Techniques in the Context of Fraud Detection

  2012cites this paper
• On XCSR for electronic fraud detection

  2012cites this paper
• Swarm intelligence in intrusion detection: A survey

  2011cites this paper
• A New Approach Based on Honeybee to Improve Intrusion Detection System Using Neural Network and Bees Algorithm

  2011cites this paper
• A Review of Clustering Techniques Based on Machine learning Approach in Intrusion Detection Systems

  2011cites this paper
• Intrusion detection based on ant colony algorithm of fuzzy clustering

  2011cites this paper
• The use of computational intelligence in intrusion detection systems: A review

  2010cites this paper
• An enhanced swarm intelligence clustering-based RBFNN classifier and its application in deep Web sources classification

  2010cites this paper
• An Enhanced Swarm Intelligence Clustering-Based RBF Neural Network Web Text Classifier

  2009cites this paper
• Telecommunication Fraud Prediction Using Backpropagation Neural Network

  2009cites this paper
• Intrusion Detection Classifier Based on Dynamic SOM and Swarm Intelligence Clustering

  2008cites this paper
• An Enhanced Swarm Intelligence Clustering-Based RBF Neural Network Detection Classifier

  2008cites this paper