Using Trust-Based Information Aggregation for Predicting Security Level of Systems

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.
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Sara Foresti; Sushil Jajodia. 24th Annual IFIP WG 11.3 Working Conference on Data and Applications Security and Privacy (DBSEC), Jun 2010, Rome, Italy. Springer, Lecture Notes in Computer Science, LNCS-6166, pp.241-256, 2010, Data and Applications Security and Privacy XXIV. 〈10.1007/978-3-642-13739-6_16〉
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Siv Hilde Houmb, Sudip Chakraborty, Indrakshi Ray, Indrajit Ray. Using Trust-Based Information Aggregation for Predicting Security Level of Systems. Sara Foresti; Sushil Jajodia. 24th Annual IFIP WG 11.3 Working Conference on Data and Applications Security and Privacy (DBSEC), Jun 2010, Rome, Italy. Springer, Lecture Notes in Computer Science, LNCS-6166, pp.241-256, 2010, Data and Applications Security and Privacy XXIV. 〈10.1007/978-3-642-13739-6_16〉. 〈hal-01056685〉

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