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Group rekeying based on member join history
RISE - Research Institutes of Sweden, ICT, SICS.ORCID iD: 0000-0001-8842-9810
University of Pisa, Italy.
RISE - Research Institutes of Sweden, ICT, SICS.
RISE - Research Institutes of Sweden, ICT, SICS.ORCID iD: 0000-0001-8192-0893
2019 (English)In: International Journal of Information Security, ISSN 1615-5262, E-ISSN 1615-5270Article in journal (Refereed) Epub ahead of print
Abstract [en]

This paper presents GREP, a novel group rekeying scheme that leverages the history of join events in order to achieve efficiency and high scalability. GREP rekeys the group with only two broadcast messages, hence displaying an overhead which is small, constant and independent of the group size. Also, GREP efficiently recovers the group from collusion attack with no recourse to total member reinitialization. Even in the very unlikely worst case, collusion recovery displays a smooth impact on performance that gradually increases with the attack severity. We implemented GREP for the Contiki OS and tested it on different resource-constrained platforms. Our analytical and experimental evaluation confirms that GREP is efficient, highly scalable and deployable also on constrained nodes. The paper extends a previous version of this work, especially through additional security analysis, treatise of probabilities for worst case collusion, and experimental evaluation of performance.

Place, publisher, year, edition, pages
Springer Verlag , 2019.
Keywords [en]
Group key management, Join history, Rekeying, Secure group communication, Security, Computer networks, Software engineering, Broadcast messages, Experimental evaluation, High scalabilities, Re-keying, Secure group communications, Security analysis, Network security
National Category
Natural Sciences
Identifiers
URN: urn:nbn:se:ri:diva-39677DOI: 10.1007/s10207-019-00451-0Scopus ID: 2-s2.0-85068966622OAI: oai:DiVA.org:ri-39677DiVA, id: diva2:1341027
Note

Funding details: 607109; Funding details: Università di Pisa, UniPi; Funding details: VINNOVA; Funding details: European Commission, EC; Funding details: Ministero dell’Istruzione, dell’Università e della Ricerca, MIUR; Funding text 1: The authors sincerely thank the anonymous referees and the associate editor for their insightful comments and suggestions. This work has been partially supported by: the European Commission under the 7-th Framework Programme (Grant Agreement No. 607109), for research, technological development and demonstration; VINNOVA and the Celtic-Next project CRITISEC; the EIT-Digital High Impact Initiative ACTIVE; the Italian Ministry of Education and Research (MIUR) in the framework of the CrossLab project (Departments of Excellence); the University of Pisa in the framework of PRA 2019. The authors also thank Rikard Höglund for his help during the implementation phase of this work.; Funding text 2: This research received funding from: the European Commission under the 7-th Framework Programme (Grant Agreement No. 607109), for research, technological development and demonstration; VINNOVA and the Celtic-Next project CRITISEC; the EIT-Digital High Impact Initiative ACTIVE; the Italian Ministry of Education and Research (MIUR) in the framework of the CrossLab project (Departments of Excellence); the University of Pisa in the framework of PRA 2019.

Available from: 2019-08-07 Created: 2019-08-07 Last updated: 2019-08-07Bibliographically approved

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Tiloca, MarcoRaza, Shahid

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