As Intrusion Detection Systems (IDS) utilize more complex syntax to efficiently describe
complex attacks, their processing requirements increase rapidly. Hardware and, even more …

For the last decade it has become commonplace to evaluate machine learning techniques
for network based intrusion detection on the KDD Cup'99 data set. This data set has served …

As the number of attacks on computer systems increases and become more sophisticated,
there is an obvious need for intrusion detection systems to be able to effectively recognize …

The advent of Internet of Energy (IoE) and the seamless integration of grid operators, power
generators, distributors, sensors, and end users promise more efficient use of energy …

When working as an IDS, Snort may detect security attacks and alert the system
administrator or take the designated action like logging the malicious packets. If we …

Sensor nodes in wireless sensor networks are easily exposed to open and unprotected
regions. A security solution is strongly recommended to prevent networks against malicious …

This dissertation deals with essential issues pertaining to high perfor-mance processing for
network security and deep packet inspection. The proposed solutions keep pace with the …

Before performing pattern matching, a typical misuse-NIDS performs protocol analysis: it
parses network traffic according to the attack protocol and normalizes the traffic into the form …

Intrusion Detection System (IDS) is renowned and widely-deployed security tool to detect
attacks and malicious activities in information system. It is an essential element of any …

The signature-based intrusion detection is one of the most commonly used techniques
implemented in modern intrusion detection systems (IDS). Being based on a set of rules, ie …