Current intrusion detection systems (IDSs) usually focus on detecting low-level attacks and/or anomalies; none of them can capture the logical steps or attack strategies behind these attacks. Consequently, the IDSs usually generate a large amount of alerts. In situations where there are intensive intrusive actions, not only will actual alerts be mixed with false alerts, but the amount of alerts...

ALDWAIRI, MONTHER MUSTAFA. Hardware Efficient Pattern Matching Algorithms and Architectures for Fast Intrusion Detection. (Under the direction of Dr. Paul Franzon). Intrusion detection processors are becoming a predominant feature in the field of network hardware. As demand on more network speed increases and new network protocols emerge, network intrusion detection systems are increasing in im...

Recently, intrusion detection systems (IDSs) have been increasingly brought to task for failing to meet the expectations that researchers and vendors were raising. Promises that IDSs would be capable of reliably identifying malicious activity never turned into reality. While virus scanners and firewalls have visible benefits and remain virtually unnoticed during normal operation, intrusion dete...

In a broader sense detection of any unauthorized access of any information system is the basic aim of any intrusion detection system. However due to cost considerations it is practically impossible to provide total protection to an information system from intrusion for its entire useful life time. In this paper we provide a brief introduction to anomaly based intrusion detection systems that cl...

The Gandy gold-base metal deposit is located in Tertiary Torud-Chahshirin volcano-plutonic range, north of Central Iran. Various styles of gold mineralization occur throughout the range. Mineralization at Gandy occurs in close spatial relation with rhyolitic domes in a caldera setting in a series of narrow brecciated veins. Two mineralogically and spatially different argillic alterations have a...

A serial multi-stage classification system for facing the problem of intrusion detection in computer networks is proposed. The whole decision process is organized into successive stages, each one using a set of features tailored for recognizing a specific attack category. All the stages employ suitable criteria for estimating the reliability of the performed classification, so that, in case of ...

Recent advances in the field of intrusion detection brought new requirements to intrusion prevention and response. Traditionally, the response to an attack is manually triggered by an administrator. However, increased complexity and speed of the attack-spread during recent years show acute necessity for complex dynamic response mechanisms. Although intrusion detection systems are being actively...

With the rapid growth of computer networks during the past few years, security has become a crucial issue for modern computer systems. A good way to detect illegitimate use is through monitoring unusual user activity. This can be achieved with an Intrusion Detection System, which identifies attacks and reacts by generating alerts or by blocking the unwanted data/traffic. These systems are mainl...