Yuval Shavitt -- AI Solutions for Networking Problems
AI is a great tool for solving many networing problems. Recently, the advance in deep learning made it an attractive tool.
Activities
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Yuval Shavitt
Invited Talk: Using Deep Learning to Detect IP Hijack Attacks.
(YouTube,
video)
ACM SIGCOMM 2020 Workshop on Traffic Manipulation (ManTra 2020).
Publications
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Anat Almog, Jacob Goldberger, and Yuval Shavitt
Unifying Unknown Nodes in the Internet Graph Using Semisupervised Spectral Clustering.
The 4th Workshop on Mining Complex Data (MCD'08) in conjunction with ICDM'08, December 2008, Pisa, Italy. (pdf)
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Tal Shapira and Yuval Shavitt.
"FlowPic: A Generic Representation for Encrypted Traffic Classification and Applications Identification."
IEEE Transactions on Network and Service Management, 18(2):1218-1232, June 2021 (pdf).
Tal Shapira and Yuval Shavitt.
FlowPic: Encrypted Internet Traffic Classification is as Easy as Image Recognition.
IEEE Workshop on Network Intelligence: Machine Learning for Networking (NI 2019), April 2019, Paris, France.
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Sangita Roy, Tal Shapira, and Yuval Shavitt.
Fast and Lean Encrypted Internet Traffic Classification.
Computer Communications, 186:166-173, March 2022. (paper)
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Tal Shapira and Yuval Shavitt.
Unveiling the Type of Relationship Between Autonomous Systems Using Deep Learning.
5th IEEE/IFIP International Workshop on Analytics for Network and Service Menagement (AnNet), April 2020, Budapest, Hungary. (paper)
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Tal Shapira and Yuval Shavitt.
A Deep Learning Approach for IP Hijack Detection Based on ASN Embedding.
ACM SIGCOMM 2020 Workshop on Network Meets AI & ML (NetAI 2020), August 2020. (paper, YouTube)
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Tal Shapira and Yuval Shavitt.
SASA: Source-Aware Self-Attention for IP Hijack Detection.
IEEE/ACM Transactions on Networking, accepted. (paper)
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Tal Shapira and Yuval Shavitt.
AP2Vec: an Unsupervised Approach for BGP Hijacking Detection.
Submitted. (paper)
