Traditional intrusion detection systems have a central coordinator with a static hierarchical architecture. We propose a peer-to-peer intrusion detection system that has no central coordinator. Our approach is like that of a "neighborhood watch". A virtual neighborhood is created where neighbors take on the task of looking out for each other. When an intrusion occurs they observe this intrusion and inform the residents about this intrusion and collectively take action. We use cooperating, mobile agents for intrusion detection. Each site periodically sends mobile agents to visit and check up on its neighbors and report back. When inconsistent or anomalous behavior is observed, the observerneighbor initiates a voting process to take action against the compromised site. General TermsSecurity
Computational steering, the interactive adjustment of application parameters and allocation of resources, is a promising technique for higher-productivity simulation, finer-grained optimization of dynamically varying algorithms, and greater understanding of program behavior and the characteristics of data sets and solution spaces. Tools for computational steering must provide monitoring, visualization, and interaction facilities. In addition, these tools must address issues related to the consistency, latency, and scalability at each of these phases, and must consider the perturbation that results. In this paper we describe transaction-based components for a computational steering system and present an approach that guarantees consistent monitoring and displays,... Read complete abstract on page 2.Read complete abstract on page 2.Complete Abstract: Complete Abstract:Computational steering, the interactive adjustment of application parameters and allocation of resources, is a promising technique for higher-productivity simulation, finer-grained optimization of dynamically varying algorithms, and greater understanding of program behavior and the characteristics of data sets and solution spaces. Tools for computational steering must provide monitoring, visualization, and interaction facilities. In addition, these tools must address issues related to the consistency, latency, and scalability at each of these phases, and must consider the perturbation that results. In this paper we describe transaction-based components for a computational steering system and present an approach that guarantees consistent monitoring and displays, supports scalable monitoring, and provides the user with the ability to adjust the tradeoffs among lag, consistency and perturbation.
The benefits of information visualization may be increased by adding a visual representation of the data-to-graphics encoding employed in the visualization. This paper introduces interactive legends that provide both an economical format for conveying a mapping and a widget through which the mapping can be adjusted by users. The explicit representation of the visual encoding creates an environment in which the user can focus cognitive resources on understanding the displayed data rather than on making sense of how the visualization is organized. Legend keys also promote a continuous style of interaction that allows users to adjust the appearance of the observed data according to their understanding and interest. We show the flexibility of legend keys by using them to query the information based on the properties of interest and to focus the presentation on the objects and properties relevant to the current task.
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