Using Trust-Based information aggregation for predicting security level of systems

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Abstract

Sometimes developers must design innovative security solutions that have a rapid development cycle, short life-time, short time-to-market, and small budget. Security evaluation standards, such as Common Criteria and ISO/IEC 17799, cannot be used due to resource limitations, time-to-market, and other constraints. We propose an alternative time and cost effective approach for predicting the security level of a security solution using information sources who are trusted to varying degrees. We show how to assess the trustworthiness of each information source and demonstrate how to aggregate the information obtained from them. We illustrate our approach by showing the security level prediction for two Denial of Service (DoS) solutions. © 2010 IFIP International Federation for Information Processing.

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APA

Houmb, S. H., Chakraborty, S., Ray, I., & Ray, I. (2010). Using Trust-Based information aggregation for predicting security level of systems. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 6166 LNCS, pp. 241–256). https://doi.org/10.1007/978-3-642-13739-6_16

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