Titlebook: Collaborative Financial Infrastructure Protection; Tools, Abstractions, Roberto Baldoni,Gregory Chockler Book 2012 Springer-Verlag Berlin H

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Modeling and Risk Analysis of Information Sharing in the Financial Infrastructureation speeds responses at other institutions, reducing their probability of initial compromise. Information sharing participation carries with it costs which must be balanced by direct expected gain or subsidized in order for a critical number of banks to agree to share information and to discourage

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CoMiFin Architecture and Semantic Roomse SR Management layer, which includes components to control the SR lifecycle and deployment, inter-SR connectivity, and the contract compliance monitoring. The proposed architecture is modular and flexible, allowing the developers to easily create and customize the processing logic according to the

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Monitoring and Evaluation of Semantic Roomsd (b)?processes those metrics to detect violations of the SR contract. The monitoring architecture is model-driven so that changes in the resources or the system objectives can be automatically mapped to monitoring assets. It is implemented in a plugin-based fashion, which enables the flexible exten

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Collaborative Inter-domain Stealthy Port Scan Detection Using Esper Complex Event Processing achieve a higher detection accuracy with a smaller number of SR members compared to R-SYN, and to exhibit better detection latencies than R-SYN in the presence of low link bandwidths (i.e., less than 3?Mbit/s) connecting the SR members to the Esper engine deployed by the SR administrator.

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Distributed Attack Detection Using Agilis stealthy inter-domain port scanning, and a botnet-driven HTTP session hijacking attack. We evaluate the performance of Agilis in both these scenarios and, in the case of inter-domain port scanning, compare it to Semantic Room, which deploys the centralized high-end event processing system called Es

Incisor

Collaborative Attack Detection Using Distributed Hash Tables against financial institutions. We focus on the detection of Man-in-the-Middle attacks to demonstrate the effectiveness of our proposal. Finally, we highlight the main advantages of the proposed architecture with respect to traditional (centralized and hierarchical) solutions for intrusion detectio

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