Nonintrusive load monitoring (NILM) has become a key technology in the power Internet of
Things as well as an important information source for load characteristics analysis. Whether …

针对入侵检测中的特征优化选择问题, 提出基于支持向量机的两级特征选择方法.
该方法将基于检测率与误报率比值的特征评测值作为特征筛选的评价指标, 先采用过滤模式中的 …

Recently much research has been conducted towards finding fast and accurate pattern
classifiers applied to Structural Health Monitoring (SHM) systems. In this way, researchers …

In the latest years, the network computers and computational systems are receiving several
cyber-attacks that affect its security. This issue is pushing researches at intrusion detection …

Aiming at feature selection in network traffic classification, a mixed feature selection
algorithm based on SVM was proposed. This method uses the eigenvalues based on the …

As redes de comunicação sem fio IEEE 802.11 possuem diversas vulnerabilidades, e os
ataques de negação de serviço são considerados uma das suas principais ameaças. A …

this paper proposes building a dataset to be used in evaluation of Intrusion Detection
Systems (IDS). We collected traffic in a real wireless network, processed such data and then …