Yuval Shavitt -- IP Hijack Attacks

Publications

• This paper was downloaded over 80,000 times in the first year of publication. It had influenced through many channels attitude of governments towards China's malbehavior:
  
  Chris C. Demchak and Yuval Shavitt
  "China's Maxim -- Leave No Access Point Unexploited: The hidden Story of China Telecom's BGP Hijacking"
  Military Cyber Affairs, 3(1), October 2018. (paper)
  
  
• This paper summarizes a decade of evolution in IP hijack attacks.
  
  Yuval Shavitt and Chris C. Demchak
  "Unlearned Lessons from the First Cybered Conflict Decade -- BGP Hijacks Continue"
  The Cyber Defence Review, Winter 2022, Pages 277--287. (paper)
  
  
• 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)
  
  
  
• 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)




• Tal Shapira and Yuval Shavitt.
  SASA: Source-Aware Self-Attention for IP Hijack Detection.
  IEEE/ACM Transactions on Networking, 30(1):437-449, February 2022. (paper)
  
  
  
• Tal Shapira and Yuval Shavitt.
  AP2Vec: an Unsupervised Approach for BGP Hijacking Detection.
  IEEE Transactions on Network and Service Management, accepted. (paper)
  
• Tal Shapira and Yuval Shavitt.
  BGP2Vec: Unveiling the Latent Characteristics of Autonomous Systems, accepted. (paper)
  

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