Proceedings of the sixth international workshop on Machine learning
C4.5: programs for machine learning
C4.5: programs for machine learning
Scalable parallel data mining for association rules
SIGMOD '97 Proceedings of the 1997 ACM SIGMOD international conference on Management of data
The application of AdaBoost for distributed, scalable and on-line learning
KDD '99 Proceedings of the fifth ACM SIGKDD international conference on Knowledge discovery and data mining
A decision-theoretic generalization of on-line learning and an application to boosting
EuroCOLT '95 Proceedings of the Second European Conference on Computational Learning Theory
Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems)
Privacy-preserving agent-based distributed data clustering
Web Intelligence and Agent Systems
Multidimensional Range Query and Load Balancing in Wireless Ad Hoc and Sensor Networks
P2P '08 Proceedings of the 2008 Eighth International Conference on Peer-to-Peer Computing
Supervised Machine Learning: A Review of Classification Techniques
Proceedings of the 2007 conference on Emerging Artificial Intelligence Applications in Computer Engineering: Real Word AI Systems with Applications in eHealth, HCI, Information Retrieval and Pervasive Technologies
Improved use of continuous attributes in C4.5
Journal of Artificial Intelligence Research
Distributed clustering based on sampling local density estimates
IJCAI'03 Proceedings of the 18th international joint conference on Artificial intelligence
ICPADS '09 Proceedings of the 2009 15th International Conference on Parallel and Distributed Systems
Distributed data clustering in multi-dimensional peer-to-peer networks
ADC '10 Proceedings of the Twenty-First Australasian Conference on Database Technologies - Volume 104
Scaling up: distributed machine learning with cooperation
AAAI'96 Proceedings of the thirteenth national conference on Artificial intelligence - Volume 1
Self-Organizing Mobile Mesh Networks with Peer-to-Peer Routing and Information Search Services
MESH '10 Proceedings of the 2010 Third International Conference on Advances in Mesh Networks
Journal of Network and Computer Applications
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Data mining aims to extract from huge amount of data stochastic theories, called knowledge models, to explain or predict complex phenomenon. In this paper we propose new distributed data mining algorithms to recognize network attacks against a set of devices from statistic data generated locally by each device according to the standard Simple Network Management Protocol (SNMP) available in each modern operating systems. The idea is to place an autonomous mining resource in each network node that cooperates with its neighbors in a peer-to-peer fashion in order to reciprocally improve their detection capabilities. Differently from existing security solutions, which are based on centralized databases of attack signatures and transmissions of huge amount of raw traffic data, in this solution the network nodes exchange local knowledge models of few hundred bytes. The approach efficacy has been validated performing experiments with several types of attacks, with different network topologies and distributions of attacks so as to also test the node capability of detecting unknown attacks.