Using Trust-Based Information Aggregation for Predicting Security Level of Systems - Inria - Institut national de recherche en sciences et technologies du numérique
Communication Dans Un Congrès Année : 2010

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

Résumé

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.
Fichier principal
Vignette du fichier
_19.pdf (109.67 Ko) Télécharger le fichier
Origine Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-01056685 , version 1 (20-08-2014)

Licence

Identifiants

Citer

Siv Hilde Houmb, Sudip Chakraborty, Indrakshi Ray, Indrajit Ray. Using Trust-Based Information Aggregation for Predicting Security Level of Systems. 24th Annual IFIP WG 11.3 Working Conference on Data and Applications Security and Privacy (DBSEC), Jun 2010, Rome, Italy. pp.241-256, ⟨10.1007/978-3-642-13739-6_16⟩. ⟨hal-01056685⟩
85 Consultations
125 Téléchargements

Altmetric

Partager

More