Anonymity and Confidentiality in Secure Distributed Simulation

Autor:	Magnani, Antonio, D'Angelo, Gabriele, Ferretti, Stefano, Marzolla, Moreno
Rok vydání:	2018
Předmět:	Computer Science - Distributed Parallel and Cluster Computing Computer Science - Cryptography and Security Computer Science - Multiagent Systems Computer Science - Performance
Druh dokumentu:	Working Paper
DOI:	10.1109/DISTRA.2018.8600922
Popis:	Research on data confidentiality, integrity and availability is gaining momentum in the ICT community, due to the intrinsically insecure nature of the Internet. While many distributed systems and services are now based on secure communication protocols to avoid eavesdropping and protect confidentiality, the techniques usually employed in distributed simulations do not consider these issues at all. This is probably due to the fact that many real-world simulators rely on monolithic, offline approaches and therefore the issues above do not apply. However, the complexity of the systems to be simulated, and the rise of distributed and cloud based simulation, now impose the adoption of secure simulation architectures. This paper presents a solution to ensure both anonymity and confidentiality in distributed simulations. A performance evaluation based on an anonymized distributed simulator is used for quantifying the performance penalty for being anonymous. The obtained results show that this is a viable solution. Comment: Proceedings of the IEEE/ACM International Symposium on Distributed Simulation and Real Time Applications (DS-RT 2018)
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/1808.02231 Zobrazit plný text záznamu View this record from Arxiv