
Intrusion detection systems (IDSs) are different from traditional firewall products because they are designed to detect a security breach. Intrusion detection is the process of detecting an unauthorized use of, or attack upon, a computer, network, or telecommunications infrastructure.
Although different types of IDS products are available, they all have three common components: sensors, analyzers, and administrator interfaces.
A network-based IDS (NIDS) uses sensors, which are either host computers with the necessary software installed or dedicated appliances—each with its network interface card (NIC) in promiscuous mode.
A host-based IDS (HIDS) can be installed on individual workstations and/or servers to watch for inappropriate or anomalous activity.
Knowledge is accumulated by the IDS vendors about specific attacks and how they are carried out. Models of how the attacks are carried out are developed and called signatures.
This type of IDS scans for attack signatures in the context of a stream of activity instead of just looking at individual packets. It can only identify known attacks and requires frequent updates of its signatures.
A statistical anomaly–based IDS is a behavioral-based system. Behavioral-based IDS products do not use predefined signatures, but rather are put in a learning mode to build a profile of an environment’s “normal” activities.
A statistical anomaly–based IDS can use protocol anomaly–based filters. These types of IDSs have specific knowledge of each protocol they will monitor.
Most behavioral-based IDSs have traffic anomaly–based filters, which detect changes in traffic patterns, as in DoS attacks or a new service that appears on the network.
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