Intrusion Detection Systems (IDS) have become widely used tools for ensuring system and network security. Among many other challenges, contemporary IDS have to cope with increasin...
Classification accuracy in intrusion detection systems (IDSs) deals with such fundamental problems as how to compare two or more IDSs, how to evaluate the performance of an IDS, ...
Considerable research has been done on detecting and blocking portscan activities that are typically conducted by infected hosts to discover other vulnerable hosts. However, the f...
— Polymorphic worms can change their byte sequence as they replicate and propagate, thwarting the traditional signature analysis techniques used by many intrusion detection syste...
Most current anomaly Intrusion Detection Systems (IDSs) detect computer network behavior as normal or abnormal but cannot identify the type of attacks. Moreover, most current intr...
: e-business organizations are heavily dependent on distributed 24X7 robust information computing systems, for their daily operations. To secure distributed online transactions, th...
An Intrusion Detection System (IDS) is a crucial element of a network security posture. Although there are many IDS products available, it is rather difficult to find information ...
While the need to build the Intrusion Detection Systems (IDS) based on on a distributed and cooperative (P2P) paradigm is being generally acknowledged, the field has been disconne...
With an increasing number of devices that must be managed, the scalability of network and service management is a real challenge. A similar challenge seems to be solved by botnets ...
Existing intrusion detection systems (IDS) operate independently from security policy enforcement mechanism. In current IDS the functionality has been restricted to detecting only...