Design and development of an embedded aeronautical router with security capabilities

Varet, Antoine; Larrieu, Nicolas

doi:10.1109/icnsurv.2012.6218391

Cited by 5 publications

(3 citation statements)

References 11 publications

(8 reference statements)

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“…This is why we would like to cite [12] where we have introduced a new model driven methodology for fast prototyping of generic aeronautical systems. We have illustrated this methodology in the development of a new embedded router for future aeronautical communications [13].…”

Section: Taking Advantage Of Aeronautical Model Driven Approachesmentioning

confidence: 99%

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How can model driven development approaches improve the certification process for UAS?

Larrieu

2014

2014 International Conference on Unmanned Aircraft Systems (ICUAS)

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To cite this version:Nicolas Larrieu. How can model driven development approaches improve the certification process for UAS ?. Contact email: Nicolas.Larrieu@Enac.Fr ABSTRACT Unmanned Aerial Systems (UAS) are currently flying in specific and segregated airspaces, separated from regular aircraft. Nevertheless, to be widely used in the future, UAS will need to be deployed in the same airspace as regular aircraft. However, their unmanned and automated features make this goal very difficult to certify. Indeed, it is necessary to validate the different parts of the UAS (operating system, communication system or even payload depending on their application) in order to be compliant with the whole airspace certification process. This paper deals with new model driven development approaches that are inherited from existing aerospace and aeronautical systems and that could be useful for the certification of UAS design. In this paper we demonstrate how a model driven design can improve UAS system robustness. A case study is introduced and focuses on the main advantages for UAS design environment: modularity and reusability.

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Section: Taking Advantage Of Aeronautical Model Driven Approachesmentioning

confidence: 99%

“…In previous research, based on our model driven design approach, we produced a full compliant secure and safe router for aeronautical communications [13]. This device is able to exchange different types of information between the ground and the aircraft (point-to-point communications) in one or several safe and secure communication tunnels.…”

Section: Modularitymentioning

confidence: 99%

How can model driven development approaches improve the certification process for UAS?

Larrieu

2014

2014 International Conference on Unmanned Aircraft Systems (ICUAS)

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“…Previous research conducts us to design new methodologies and tools to generate network data traffic as close as possible to what we can find on Local Area Networks (LAN) and on the Internet. It can be necessary for instance to evaluate performances of new network entities (such as an embedded router (Varet et al, 2012)). In this specific context, we needed to face this router to generated traffic with characteristics as close as possible as the Internet traffic.…”

Section: Introductionmentioning

confidence: 99%

Realistic Network Traffic Profile Generation: Theory and Practice

Varet¹,

Larrieu²

2014

CIS

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Network engineers and designers need additional tools to generate network traffic in order to test and evaluate application performances or network provisioning for instance. In such a context, traffic characteristics are the very important part of the work. Indeed, it is quite easy to generate traffic but it is more difficult to produce traffic which can exhibit real characteristics such as the ones you can observe in the Internet. With the lack of adequate tools to generate data flows with "realistic behaviors" at the network or transport level, we needed to develop our tool entitled "SourcesOnOff". The emphasis of this article is on presenting this tool, how we implemented it and which methodology it follows to produce traffic with realistic characteristics. To do so, we chose to consider different stochastic processes in order to model the complexity of the different original traffics we wanted to replay. In our approach, we are able to consider several statistical laws and to combine their effects to model accurately the original behavior we analyzed in the real data. We then select the right parameters to consider as inputs for our SourcesOnOff tool. This approach gives really good traffic characteristics and, consequently, the generated traffic is really closed to reality as results presented at this end of this paper demonstrate it.

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