—Network Intrusion Detection Systems (NIDS) are more and more important in today’s network security for identifying and preventing malicious attacks over the network. This pape...
In this paper, we present a general machine learning approach to the problem of deciding when to share probabilistic beliefs between agents for distributed monitoring. Our approac...
—Network Intrusion Detection System (NIDS) is a system developed for identifying attacks by using a set of rules. NIDS is an efficient way to provide the security protection for ...
Increasing traffic and the necessity of stateful analyses impose strong computational requirements on network intrusion detection systems (NIDS), and motivate the need of distrib...
Mauro Andreolini, Sara Casolari, Michele Colajanni...
Ternary content-addressable memories (TCAMs) have gained wide acceptance in the industry for storing and searching patterns in routers. But two important problems block the way to...