Application of bagging, boosting and stacking to intrusion detection
This paper investigates the possibility of using ensemble algorithms to improve the
performance of network intrusion detection systems. We use an ensemble of three different …
performance of network intrusion detection systems. We use an ensemble of three different …
[PDF][PDF] Intrusion Detection Method Based on Active Incremental Learning in Industrial Internet of Things Environment.
Z Sun, G Ran, Z Jin - Journal on Internet of Things, 2022 - cdn.techscience.cn
Intrusion detection is a hot field in the direction of network security. Classical intrusion
detection systems are usually based on supervised machine learning models. These offline …
detection systems are usually based on supervised machine learning models. These offline …
[引用][C] Meta ensemble classifier based stacked generalization for anomaly based intrusion detection
D Boro, DK Bhattacharyya - Network and Information Security: Issues, Challenges …, 2013
Ensemble Network Intrusion Detection Model Based on Classification & Clustering for Dynamic Environment
-Anomaly detection is a critical issue in Network Intrusion Detection Systems (NIDSs). Most
anomaly based NIDSs employ supervised algorithms, whose performances highly depend …
anomaly based NIDSs employ supervised algorithms, whose performances highly depend …
Ensemble-distributed approach in classification problem solution for intrusion detection systems
V Bukhtoyarov, V Zhukov - … and Automated Learning–IDEAL 2014: 15th …, 2014 - Springer
Network activity has become an essential part of daily life of almost any individual or
company. At the same time the number of various network threats and attacks in private and …
company. At the same time the number of various network threats and attacks in private and …
Intrusion detection system using bagging ensemble method of machine learning
DP Gaikwad, RC Thool - 2015 international conference on …, 2015 - ieeexplore.ieee.org
Intrusion detection system is widely used to protect and reduce damage to information
system. It protects virtual and physical computer networks against threats and vulnerabilities …
system. It protects virtual and physical computer networks against threats and vulnerabilities …
[引用][C] The application research of classifier ensemble in intrusion detection
XP Chen, JQ Shen - Journal of Henan Polytechnic …, 2012 - Henan Polytechnic University
[PDF][PDF] A survey of intrusion detection systems based on ensemble and hybrid
AA Aburomman, MBI Reaz - Learning, 1999 - researchgate.net
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 …
Building an ensemble learning based algorithm for improving intrusion detection system
MS Abirami, U Yash, S Singh - Artificial Intelligence and Evolutionary …, 2020 - Springer
Intrusion detection system (IDS) alerts the network administrators against intrusive attempts.
The anomalies are detected using machine learning techniques such as supervised and …
The anomalies are detected using machine learning techniques such as supervised and …