A New Host-Based Hybrid IDS Architecture - A Mind Of Its Own
The Know-how Of Host-Based Hybrid Intrusion Detection System Architecture Using Machine Learning Algorithms With Feature Selection
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In a world where our every day life depends on what is going on in the gap between stimulus and reaction, Intruders could make the decision for you. Unless they are detected on time!Network security has been an issue since computers have been networked together. Lots of vulnerabilities, risks and threats came to the scene. An important security product that has emerged is Intrusion Detection Systems (IDS).The author proposes a new Host-Based Hybrid Intrusion Detection System.The Intrusion Detection Analyzer Module consists of two analyzers that work in a hybrid architecture: Anomaly Detection ...
In a world where our every day life depends on what
is going on in the gap between stimulus and
reaction, Intruders could make the decision for you.
Unless they are detected on time!
Network security has been an issue since computers
have been networked together. Lots of
vulnerabilities, risks and threats came to the
scene. An important security product that has
emerged is Intrusion Detection Systems (IDS).
The author proposes a new Host-Based Hybrid
Intrusion Detection System.
The Intrusion Detection Analyzer Module consists of
two analyzers that work in a hybrid architecture:
Anomaly Detection Analyzer and Misuse Detection
Analyzer.
This way, the Anomaly Detection Analyzer is trained
with attack-free session data and normal behaviour
is learnt so it raises an alarm when it detects a
deviation from this normal behaviour. Self
Organizing Map, an unsupervised machine learning
algorithm, is used.
The Misuse Detection Analyzer uses a C4.5 Decision
Tree.
Finally, Decision Making Module decides whether the
session is normal or an attack. The proposed hybrid
architecture works very accurately.
It is an essential book. Any professional can
benefit from such a lecture.
is going on in the gap between stimulus and
reaction, Intruders could make the decision for you.
Unless they are detected on time!
Network security has been an issue since computers
have been networked together. Lots of
vulnerabilities, risks and threats came to the
scene. An important security product that has
emerged is Intrusion Detection Systems (IDS).
The author proposes a new Host-Based Hybrid
Intrusion Detection System.
The Intrusion Detection Analyzer Module consists of
two analyzers that work in a hybrid architecture:
Anomaly Detection Analyzer and Misuse Detection
Analyzer.
This way, the Anomaly Detection Analyzer is trained
with attack-free session data and normal behaviour
is learnt so it raises an alarm when it detects a
deviation from this normal behaviour. Self
Organizing Map, an unsupervised machine learning
algorithm, is used.
The Misuse Detection Analyzer uses a C4.5 Decision
Tree.
Finally, Decision Making Module decides whether the
session is normal or an attack. The proposed hybrid
architecture works very accurately.
It is an essential book. Any professional can
benefit from such a lecture.
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