This paper illustrates an approach to attack detection that analyzes just the standard statistics automatically generated by the Simple Network Management ...
This paper illustrates an approach to attack detection that analyzes just the standard statistics automatically generated by the Simple Network Management ...
An efficient mechanism for network attacks detection and types of attack classification using the Management Information Base (MIB) database associated with ...
Decentralized detection of network attacks through P2P data clustering of SNMP data. Cerroni, W.; Moro, G.; Pasolini, R.; Ramilli, M.
This paper illustrates an approach to attack detection that analyzes just the standard statistics automatically generated by the Simple Network Management ...
This paper describes a novel methodology for network attack detection based on the use of data mining techniques to process traffic information collected by ...
Decentralized detection of network attacks through P2P data clustering of SNMP data. W Cerroni, G Moro, R Pasolini, M Ramilli. Computers & Security 52, 1-16, ...
Abstract. 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 ...
The use of different classifiers presents a comprehensive study on the effectiveness of SNMP-MIB data in detecting different types of attack. Empirical results ...
Extent of segmentation enormously affects ransomware attack prevention and recovery. Learn from peers worldwide who are implementing...
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