By by Kalle Burbeck.

ISBN-10: 9185497231

ISBN-13: 9789185497232

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All other objects are then assigned to the most similar cluster after which all cluster means are recomputed. This process iterates until a criterion function, such as the squared error criterion, converges. • Hierarchical methods create a hierarchical decomposition of the given data objects. Cure [58] and Chameleon [71] are example of hierarchical methods. BIRCH [122] uses hierarchical clustering in its first phase, after which iterative relocation is applied to clusters rather than individual objects in subsequent phases.

The receiving agent decides whether to respond to a message or not. Many computer-based systems of today are by necessity distributed. Data may be collected in one place, analysis of the data in a second, while the operator of the system is located at a third. For intrusion detection systems, analysing data from multiple hosts and even multiple networks, this is certainly true. To reduce complexity in the overall systems, traditional design principles suggest that each component should be realised as a reasonably independent subsystem implementing related functionality, communicating with related subsystems when necessary.

Security - What techniques are used to secure the agents? • Interoperability - Can external software be integrated? • Scalability - Can the platform manage large applications with many agents? T HE S AFEGUARD CONTEXT 37 • Footprint - Are the memory and CPU usages reasonable? Can both lightweight and heavyweight agents be implemented with the platform? • Platform requirements - Does the platform depend on specific operating systems and/or hardware? • Open source - Is the platform implemented as open source?

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