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Detecting Botnets with Tight Command and Control
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What this work says
Outgoing claims: the papers this work cites, builds on, or argues with.
inferredcites →https://doi.org/10.1007/10722599_12openalex-snapshot
Finding a Connection Chain for Tracing Intruders
inferredcites →https://doi.org/10.1007/3-540-36084-0_2openalex-snapshot
Multiscale Stepping-Stone Detection: Detecting Pairs of Jittered Interactive Streams by Exploiting Maximum Tolerable Delay
inferredcites →https://doi.org/10.1007/978-0-387-44599-1_8openalex-snapshot
An Inside Look at Botnets
inferredcites →https://doi.org/10.1007/978-1-4419-1428-6_5195openalex-snapshot
Pattern Classification
inferredcites →https://doi.org/10.1016/c2009-0-19715-5openalex-snapshot
Data Mining: Practical Machine Learning Tools and Techniques
inferredcites →https://doi.org/10.1109/lcn.2005.33openalex-snapshot
Architecture for multi-stage network attack traceback
inferredcites →https://doi.org/10.1109/lcn.2006.322210openalex-snapshot
Usilng Machine Learning Technliques to Identify Botnet Traffic
inferredcites →https://doi.org/10.1109/mprv.2005.75openalex-snapshot
CRAWDAD: A Community Resource for Archiving Wireless Data at Dartmouth
inferredcites →https://doi.org/10.1145/1028788.1028804openalex-snapshot
Transport layer identification of P2P traffic
inferredcites →https://doi.org/10.1145/1028788.1028805openalex-snapshot
Class-of-service mapping for QoS
inferredcites →https://doi.org/10.1145/1064212.1064220openalex-snapshot
Internet traffic classification using bayesian analysis techniques
inferredcites →https://doi.org/10.1145/948205.948214openalex-snapshot
An analysis of Internet chat systems
inferredcites →https://doi.org/10.1145/988672.988742openalex-snapshot
Accurate, scalable in-network identification of p2p traffic using application signatures
inferredcites →https://doi.org/10.21236/ada636482openalex-snapshot
Managing the Threat of Denial-of-Service Attacks
What points at this work
Incoming claims: where this work appears in other papers’ reference lists and arguments.
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