Publication | Open Access
DarkVec
28
Citations
12
References
2021
Year
Unknown Venue
Computational Social ScienceMeaningful InsightsNetwork SciencePassive ProbesData ScienceEngineeringMalicious SendersThreat DetectionNetwork AnalysisInformation ForensicsComputer ScienceBotnet DetectionCommunicationNetwork Traffic MeasurementSocial Network Analysis
Darknets are passive probes listening to traffic reaching IP addresses that host no services. Traffic reaching them is unsolicited by nature and often induced by scanners, malicious senders and misconfigured hosts. Its peculiar nature makes it a valuable source of information to learn about malicious activities. However, the massive amount of packets and sources that reach darknets makes it hard to extract meaningful insights. In particular, multiple senders contact the darknet while performing similar and coordinated tasks, which are often commanded by common controllers (botnets, crawlers, etc.). How to automatically identify and group those senders that share similar behaviors remains an open problem.
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