On the Cnam ENT, on May 4, 2020 – 14h-16h. If interested in joining, please drop an email to: seccis AT cnam DOT fr
Speaker: Paolo Zappalà
A game theoretical analysis of the Lightning Network
One of the main limits of the Bitcoin protocol is its scalability.
Among the solutions introduced to overcome this issue, Lightning Network stands as one of the most used.
Lightning Network is a second layer protocol introduced by Poon and Dryja in 2016. The protocol is shown in its full details.
We introduce a new game theoretical framework to model and understand the behaviours of the agents involved in Lightning Network.
This lets us prove some of the properties of the protocol, such as for instance its atomicity.
Paolo Zappalà recently graduated from Politecnico di Milano with a Master degree in Maths Engineering. Starting from a strong background in statistics, he is currently developing my research within the field of game theory. He wrote his Master thesis on a game theoretical analysis of Bitcoin users at LIP6, Sorbonne Université. He’s currently research engineer at Cnam.
Speaker: Wassim Atoui
Toward auto-configuration in software networks.
The configuration in software networks is often generated manually by domain experts in semi structured files like XML, JSON and YAML. This approach is complex, error prone and tedious to make given that the files could contain numerous components that are dependent on each other. There is no formal strategy except experience and best practices to design the configuration files by domain experts. Different domain experts may choose different configuration for the same performance goal. This situation makes it harder to extract features from the configuration files and learn models that could generate or recommend automatically configuration. Moreover, there is still no consensus on a common configuration data model in software networks, which resulted on heterogeneous solutions, such as: TOSCA, YANG, Hot, etc. that make the end-to-end network management difficult. In this seminar we show some of our contributions that tackle the aforementioned challenges related to automating the configuration in software networks.
Wassim S. Atoui received the M.Sc. degree from the university of Quebec in Montréal (UQAM), Canada, in 2017. He recently finalized a Ph.D. degree in both Orange labs, Paris, and Telecom SudParis, Evry. His research interests include software networks (SND,NFV), autonomic networks and machine/ deep learning. He is currently postdoc at Cnam.