Model-Based Development of firewall rule sets: Diagnosing model inconsistencies
Information and Software Technology
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The Intrusion Detection Systems (IDSs) currently in use are designed to monitor potential attacks in networks by triggering alerts. However these alerts consist of high volumes of false positives, triggered by suspicious but normal, benign connections. In this paper we discuss false positives and their impact on intrusion detection and response. Then we propose a novel approach for an efficient intelligent detection and response using "network quarantine Channels" (NQCs). The NQC is defined as subnet zones that respond to packets as they are diverted to its hosts for analysis before being permitted into the internal network. The innovative approach includes feedback mechanisms involving adaptive rules, alert filters and policies of the IDS network sensors for various protocols. The effect is the enhancement of the capability of the IDS to detect threats and benign attacks.