A network based Intrusion Detection System (IDS) gathers and analyzes network packets
and report possible low level security violations to a system administrator. In a large network …

Since the beginning of the Internet, cyberattacks have threatened users and organisations.
They have become more complex concurrently with computer networks. Nowadays …

Managing raw alerts generated by various sensors are becoming of more significance to
intrusion detection systems as more sensors with different capabilities are distributed …

This paper is focused on detecting and analyzing the Distributed Denial of Service (DDoS)
attacks in cloud computing environments. This type of attacks is often the source of cloud …

During the last decade, various machine learning and data mining techniques have been
applied to Intrusion Detection Systems (IDSs) which have played an important role in …

0001. The present application claims the priority of US Provisional Application Ser. No.
61/006,342 filed Jan. 7, 2008, and US Provisional Application Ser. No. 61/136,937 filed Oct …

Accurate identification of misuse is a key factor in determining appropriate ways to protect
systems. Modern intrusion detection systems often use alerts from different sources such as …

Intrusion analysis and incident management remains a difficult problem in practical network
security defense. The root cause of this problem is the large rate of false positives in the …

Intrusion detection systems (IDS) often provide poor quality alerts, which are insufficient to
support rapid identification of ongoing attacks or predict an intruder's next likely goal. In this …

Intrusion analysis, ie, the process of combing through IDS alerts and audit logs to identify
real successful and attempted attacks, remains a difficult problem in practical network …