[PDF][PDF] Machine learning to improve the performance of anomaly-based network intrusion detection in big data

S Chimphlee, W Chimphlee - Indonesian Journal of Electrical …, 2023 - academia.edu
With the rapid growth of digital technology communications are overwhelmed by network
data traffic. The demand for the internet is growing every day in today's cyber world, raising …

Intrusion detection using evolving fuzzy classifiers

J Zhong, H Wu, Y Lai - 2011 6th IEEE Joint International …, 2011 - ieeexplore.ieee.org
Information security is an issue of serious global concern. The complexity, accessibility, and
openness of the Internet have served to increase the security risk of information systems …

[PDF][PDF] 入侵检测的可进化模糊规则分类器研究

周豫苹, 方建安, 于冬梅 - 计算机工程与科学, 2009 - joces.nudt.edu.cn
随着入侵检测技术(IDS) 在网络安全领域的作用越来越重要, 将多种软计算方法应用到入侵检测
技术中是构建智能入侵检测系统的新途径和尝试. 本文将模糊数据挖掘技术和遗传算法相结合 …

[PDF][PDF] Hybrid Fuzzy Techniques for Unsupervised Intrusion Detection System

W CHIMPHLEE - 2008 - eprints.utm.my
Network intrusion detection is a complex research problem especially when it deals with
unknown patterns. Furthermore, if the amount of audit data instances is large, human …

An Application-Layer Distributed Intrusion Detection Model Based on the C/S Mode

ZG Ding, XY Zhu, Y Yuan - Advanced Engineering Forum, 2012 - Trans Tech Publ
In order to overcome the disadvantages of the traditional distributed intrusion detection
system, an application-layer distributed intrusion detection model based on the C/S mode is …

[PDF][PDF] An Application-Layer Distributed Intrusion Detection Model Based on the C/S Mode

D Zhi-guo, Z Xue-yong, Y Yuan - 2012 - Citeseer
In order to overcome the disadvantages of the traditional distributed intrusion detection
system, an application-layer distributed intrusion detection model based on the C/S mode is …

[引用][C] 基于遗传模糊分类器的入侵检测系统研究

周豫苹, 方建安, 于冬梅 - 微电子学与计算机, 2009