The current scenario of information gathering and storing in secure system is a challenging
task due to increasing cyber-attacks. There exists computational neural network techniques …

Network IDS is a well-known security measure for network monitoring and protection.
Unfortunately, IDSs are known to generate large amounts of alerts, with many of them being …

During the last decade, intrusion detection systems (IDSs) have become a widely used
measure for security management. However, these systems often generate many false …

Wireless Networks facilitate the ease of communication for sharing the crucial information.
Recently, most of the small and large-scale companies, educational institutions, government …

Intrusion Detection Systems (IDSs) are known to produce huge volumes of alerts. The
interesting alerts are always mixed with irrelevant, duplicate and non interesting alerts. Huge …

Internet has shown a tremendous growth in the last few years and along with it, the impact,
quality and quantity of threats on it have also increased. Organisations are striving to find …

数据挖掘技术在入侵检测中的应用日益广泛, 特别是在管理告警显示方面.
相关研究者把模式识别, 数据挖掘等知识运用到告警的分析上来, 对告警信息进行聚合和关联 …

Alert correlation systems attempt to discover the relations among ALERT s produced by one
or more INTRUSION detection systems to determine the ATTACK scenarios and their main …

Over the years, network intrusion detection systems have evolved to handle varying types of
threats. These days, network managers expect network intrusion detection systems (IDS) to …

Intrusion Detection System (IDS) has recently emerged as an important component for
enhancing information system security. Data mining and machine learning technology has …