Anonymity and Confidentiality in Secure Distributed Simulation

Abstract

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.

Dynamic System Sustainability Simulation Modelling

“…Data should be secured in all the stages of its life cycle from its creation to its destruction. Confidentiality, integrity and availability are the three important properties of the data popularly called CIA triad (Kumar et al, 2018;Magnani et al, 2018;Andress, 2014). Confidentiality refers to data privacy where the data is not revealed to unauthorized parties on any occasion.…”

Internet-Based Adaptive Distributed Simulation of Mobile Ad-hoc Networks

“…This is the pre-peer reviewed version of the article: "Gabriele D ' role in certain simulation contexts, e.g. highly classified warfare simulation [18]. In a distributed simulation, how can we make sure that the data exchanged among the hosts cannot be intercepted or tampered with?…”