{"id":16151,"date":"2024-09-27T08:50:28","date_gmt":"2024-09-27T06:50:28","guid":{"rendered":"https:\/\/www.digitalfutures.kth.se\/?page_id=16151"},"modified":"2024-09-27T09:12:48","modified_gmt":"2024-09-27T07:12:48","slug":"comprehensive-network-insight-for-resilient-infrastructures","status":"publish","type":"page","link":"https:\/\/wpmu-tris.sys.kth.se\/digitalfutures\/research\/postdoc-fellowships\/postdoc-fellowships-ongoing-projects\/comprehensive-network-insight-for-resilient-infrastructures\/","title":{"rendered":"Comprehensive Network Insight for Resilient Infrastructures"},"content":{"rendered":"

August 2024 – August 2026<\/p>\n

Objective<\/em>
\nThis research aims to develop network monitoring technologies that provide deep, real-time insights into network activity. It focuses on designing in-hardware algorithms and tailored analysis tools to detect and analyze critical factors, including security intrusions, network anomalies, and root causes of failures.<\/p>\n

Background
\n<\/em>Computer networks are vital to the operation of modern industries and society. Failures and security breaches can range from costly inconveniences to catastrophes. For this reason, networks are continuously monitored to ensure reliability.<\/p>\n

Unfortunately, the high speeds of modern networks make comprehensive monitoring difficult, leaving blind spots that hinder effective analysis. Achieving fine-grained, real-time traffic analysis could transform how intrusions are detected and failures are mitigated, enabling faster responses and enhancing network resilience.<\/p>\n

About the Digital Futures Postdoc Fellow
\n<\/em>Jonatan Langlet<\/strong> is a researcher with expertise in on-hardware monitoring algorithms and data structures. He earned his PhD in computer science from Queen Mary University of London, during which he focused on high-speed data collection, probabilistic streaming data analysis, and in-network artificial intelligence. His research interests span network programmability, systems, and algorithms, particularly on real-world deployability.<\/p>\n

Main supervisor<\/em>
\nMarco Chiesa<\/strong>, Associate Professor, Division of Software and Computer Systems, KTH<\/p>\n

Co-supervisor<\/em>
\nDejan Kosti\u0107<\/strong>, Professor, Division of Software and Computer Systems, KTH<\/p>\n","protected":false},"excerpt":{"rendered":"

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