Visible to the public Biblio

Filters: Keyword is federation  [Clear All Filters]
2021-07-07
Antevski, Kiril, Groshev, Milan, Baldoni, Gabriele, Bernardos, Carlos J..  2020.  DLT federation for Edge robotics. 2020 IEEE Conference on Network Function Virtualization and Software Defined Networks (NFV-SDN). :71–76.
The concept of federation in 5G and NFV networks aims to provide orchestration of services across multiple administrative domains. Edge robotics, as a field of robotics, implements the robot control on the network edge by relying on low-latency and reliable access connectivity. In this paper, we propose a solution that enables Edge robotics service to expand its service footprint or access coverage over multiple administrative domains. We propose application of Distributed ledger technologies (DLTs) for the federation procedures to enable private, secure and trusty interactions between undisclosed administrative domains. The solution is applied on a real-case Edge robotics experimental scenario. The results show that it takes around 19 seconds to deploy & federate a Edge robotics service in an external/anonymous domain without any service down-time.
2020-01-21
Selvanathan, Nirojan, Jayakody, Dileepa, Damjanovic-Behrendt, Violeta.  2019.  Federated Identity Management and Interoperability for Heterogeneous Cloud Platform Ecosystems. Proceedings of the 14th International Conference on Availability, Reliability and Security. :1–7.
This paper describes an approach to overcome the interoperability challenges related to identity management systems supporting cross-collaboration between heterogeneous manufacturing platforms. Traditional identity management systems have shown many weaknesses when it comes to cloud platforms and their federations, from not being able to support a simplified login process, to information disclosure and complexity of implementation in practice. This paper discusses workflows to practically implement federated identity management across the heterogeneous manufacturing platforms and design interoperability at different levels, e.g. at the platform level and at the platform integration level. Our motivation to find the best federated identity management solution for heterogeneous cloud-based platforms is related to practical requirements coming from the ongoing European project eFactory.
2017-12-12
Massonet, P., Deru, L., Achour, A., Dupont, S., Croisez, L. M., Levin, A., Villari, M..  2017.  Security in Lightweight Network Function Virtualisation for Federated Cloud and IoT. 2017 IEEE 5th International Conference on Future Internet of Things and Cloud (FiCloud). :148–154.

Smart IoT applications require connecting multiple IoT devices and networks with multiple services running in fog and cloud computing platforms. One approach to connecting IoT devices with cloud and fog services is to create a federated virtual network. The main benefit of this approach is that IoT devices can then interact with multiple remote services using an application specific federated network where no traffic from other applications passes. This federated network spans multiple cloud platforms and IoT networks but it can be managed as a single entity. From the point of view of security, federated virtual networks can be managed centrally and be secured with a coherent global network security policy. This does not mean that the same security policy applies everywhere, but that the different security policies are specified in a single coherent security policy. In this paper we propose to extend a federated cloud networking security architecture so that it can secure IoT devices and networks. The federated network is extended to the edge of IoT networks by integrating a federation agent in an IoT gateway or network controller (Can bus, 6LowPan, Lora, ...). This allows communication between the federated cloud network and the IoT network. The security architecture is based on the concepts of network function virtualisation (NFV) and service function chaining (SFC) for composing security services. The IoT network and devices can then be protected by security virtual network functions (VNF) running at the edge of the IoT network.