Efficient, adversarial neighbor discovery using logical channels on Microsoft Azure
Mehmet Sinan İnci, Gorka Irazoqui, Thomas Eisenbarth, Berk Sunar · 2016
We introduce an effective technique that exploits logical channels for malicious co-location and target identification on Microsoft Azure cloud instances. Specifically, we employ-two co-location scenarios: targeted co-location with a specific victim or co-location with subsequent identification of victims of interest. We develop a novel, noise-resistant co-location detection method through the network channel that provides fast, reliable results with no cooperation from the victim. Also, our method does not require access to the victim instance neither as a legitimate user nor a malicious attacker.