Siddique Abubakr Muntaka
3 indexed papers
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This study analyzed I2P's routing topology and found no significant evidence that peer selection is influenced by geographic location, suggesting highly random global mixing.
This paper proposes a two-stage machine learning system that accurately detects I2P traffic and subsequently classifies it as data exfiltration or legitimate activity, achieving high accuracy in both phases.
The paper identifies and demonstrates the existence of a covert sublayer, called the Exclusive Network, within the I2P anonymous network, which allows nodes to host services without being discoverable via the network's public database.
Papers
Detecting Data Exfiltration through I2P Anonymity Networks: A Two-Phase Machine Learning Approach
This paper proposes a two-stage machine learning system that accurately detects I2P traffic and subsequently classifies it as data exfiltration or legitimate activity, achieving high accuracy in both…