With the increasingly widespread deployment of security mechanisms, such as firewalls,
intrusion detection systems (IDSs), antiviras software and authentication services, the …

Deploying a large number of information security (INFOSEC) systems can provide in-depth
protection for systems and networks. However, the sheer number of security alerts output by …

Data mining-based intrusion detection systems (IDSs) have significant advantages over
signature-based IDSs since they are designed to generalize models of network audit data to …

Little or no integration exists today between Intrusion Detection Systems (IDSs) and SNMP-
based Network Management Systems (NMSs), in spite of the extensive monitoring and …

Data warehousing and data mining provide techniques for collecting information from
distributed databases and for performing data analysis. The ever expanding, tremendous …

We develop an algorithm for automatic discovery of precursors in time series data (ADOPT).
In a time series setting, a precursor may be considered as any event that precedes and …

Many practical tasks require discovering interconnections between the behavior of a
complex object and events initiated by this behavior or correlating with it. In such cases it is …

Deploying a large number of information security (INFOSEC) systems can provide in-depth
protection for systems and networks. However, the sheer number of security alerts output by …

In our earlier work we have proposed and developed a methodology for the early detection
of Distributed Denial of Service (DDoS) attacks. In this paper, we examine the applicability of …

In the paper, an original neural network algorithm for analysis of time series is presented.
This algorithm allows predicting the occurrence of a certain event and finding a time interval …