The integration of Network Intrusion Detection
Systems (Network IDS) in industrial networks has improved
the security of these systems due to their ability to analyze
network traffic in order to detect potential system intrusions.
Unfortunately, their detection scope is often limited to strategical
network locations and may therefore not be capable to detect
intrusions occurring at other system locations (e.g., specific
devices). Hence, it is necessary to increase their detection scope
by further analyzing additional information pertaining to other
system components. The introduction of these new information
sources adds more complexity to the intrusion detection problem,
as it is not only necessary to identify them, but it is also
required to define how their authentication, capture and analysis
is to be carried out. Multi-Agent Systems are an architectural
paradigm that can deal with such complexity. This paper presents
a Multi-Agent approach for hybrid intrusion detection that
takes into consideration the aforementioned challenges. This approach is comprised of a Multi-Agent hybrid intrusion detection
architecture designed according to a set of properties. These
properties consider IDS-specific requirements. It also takes into
consideration current trends in the field of Multi-Agent Systems
to provide security, scalability and adaptability across multiple
systems. The feasibility of this approach is validated through a
prototypical implementation
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The integration of Network Intrusion Detection
Systems (Network IDS) in industrial networks has improved
the security of these systems due to their ability to analyze
network traffic in order to detect potential system intrusions.
Unfortunately, their detection scope is often limited to strategical
network locations and may therefore not be capable to detect
intrusions occurring at other system locations (e.g., specific
devices). Hence, it is necessary to increase their detection scope
by furthe...
»