VIScon 2022 – Network Anomaly Detection at Swisscom | Marco Tollini & Thomas Graf | Swisscom
About this talk:
IP networks are the nerve systems of today’s society. We as a customer depend on it. Swisscom has a tall burden to ensure that its networks are ready to connect at any time when we need it. Network Analytics is the key to enable visibility and increase uptime and reliability by creating a digital twin for a closed loop operation.
In this talk we demonstrate and give insights how Network Anomaly Detection for L3 VPN services is performed. Which operational metrics are being used, how they are being correlated and queried in near real-time and why this is only the beginning of network verification.
Speaker:
Marco Tollini received his M.Sc. degree from ETH Zurich in Information Security in 2020. He carried out his master thesis in collaboration with Swisscom, where he compared multiple machine learning algorithms for monitoring Swisscom’s mobile network. He decided to move closer to the network with the Daisy team where he researches and develops new standards at IETF, tests equipment from major network vendors, collaborates with external parties to create machine learning algorithms for anomaly and novelty detection, maintains an open-source network visualization tool, and manages the Daisy pipeline. He defines himself as a Data, DevOps, and Test engineer.
Thomas Graf is a distinguished network engineer and network analytics architect at Swisscom. Stuck with service providers since 1997. Rediscover networks in 2015 with
Network Analytics. The backseat driver of the Swisscom Daisy team with network, software and data engineering enthusiasts recently expressed to feel like belonging to a startup. Authoring next generation data-collection protocols in GROW, OPSAWG and NETCONF working groups at IETF.
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network engineer
