A survey of intrusion detection systems based on ensemble and hybrid classifiers
AA Aburomman, MBI Reaz - Computers & security, 2017 - Elsevier
Due to the frequency of malicious network activities and network policy violations, intrusion
detection systems (IDSs) have emerged as a group of methods that combats the …
detection systems (IDSs) have emerged as a group of methods that combats the …
A survey of methods for distributed machine learning
D Peteiro-Barral, B Guijarro-Berdiñas - Progress in Artificial Intelligence, 2013 - Springer
Traditionally, a bottleneck preventing the development of more intelligent systems was the
limited amount of data available. Nowadays, the total amount of information is almost …
limited amount of data available. Nowadays, the total amount of information is almost …
Rdtids: Rules and decision tree-based intrusion detection system for internet-of-things networks
This paper proposes a novel intrusion detection system (IDS), named RDTIDS, for Internet-of-
Things (IoT) networks. The RDTIDS combines different classifier approaches which are …
Things (IoT) networks. The RDTIDS combines different classifier approaches which are …
[图书][B] Ensemble methods: foundations and algorithms
ZH Zhou - 2012 - books.google.com
An up-to-date, self-contained introduction to a state-of-the-art machine learning approach,
Ensemble Methods: Foundations and Algorithms shows how these accurate methods are …
Ensemble Methods: Foundations and Algorithms shows how these accurate methods are …
An analysis of ensemble pruning techniques based on ordered aggregation
G Martinez-Munoz… - IEEE Transactions on …, 2008 - ieeexplore.ieee.org
Several pruning strategies that can be used to reduce the size and increase the accuracy of
bagging ensembles are analyzed. These heuristics select subsets of complementary …
bagging ensembles are analyzed. These heuristics select subsets of complementary …
Protein classification with multiple algorithms
S Diplaris, G Tsoumakas, PA Mitkas… - Advances in Informatics …, 2005 - Springer
Nowadays, the number of protein sequences being stored in central protein databases from
labs all over the world is constantly increasing. From these proteins only a fraction has been …
labs all over the world is constantly increasing. From these proteins only a fraction has been …
When does diversity help generalization in classification ensembles?
Ensembles, as a widely used and effective technique in the machine learning community,
succeed within a key element—“diversity.” The relationship between diversity and …
succeed within a key element—“diversity.” The relationship between diversity and …
MLEsIDSs: machine learning-based ensembles for intrusion detection systems—a review
Network security plays an essential role in secure communication and avoids financial loss
and crippled services due to network intrusions. Intruders generally exploit the flaws of …
and crippled services due to network intrusions. Intruders generally exploit the flaws of …
An ensemble pruning primer
Ensemble pruning deals with the reduction of an ensemble of predictive models in order to
improve its efficiency and predictive performance. The last 12 years a large number of …
improve its efficiency and predictive performance. The last 12 years a large number of …
Combining ensemble methods and social network metrics for improving accuracy of OCSVM on intrusion detection in SCADA systems
LA Maglaras, J Jiang, TJ Cruz - Journal of Information Security and …, 2016 - Elsevier
Abstract Modern Supervisory Control and Data Acquisition (SCADA) systems used by the
electric utility industry to monitor and control electric power generation, transmission and …
electric utility industry to monitor and control electric power generation, transmission and …