Abstract | ||
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Large high-speed networks such as in campuses and enterprises teem with malware infections; current solutions are either incapable of coping with the high data rates, or lacking in effective and speedy threat detection and mitigation. This work presents an early architecture for MalwareMonitor, a security framework that leverages SDN technology to address these limitations. We propose elastically partitioning network traffic to enable distributing detection load across a range of detectors; further, a centralized SDN controller allows for network-wide threat correlation as well as speedy control of malicious flows.
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Year | Venue | Keywords |
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2014 | CoNEXT Student Workshop | software defined networking,intrusion detection,malware |
Field | DocType | ISBN |
Architecture,Large networks,Control theory,Computer science,Security framework,Computer network,Software-defined networking,Malware,Intrusion detection system,Distributed computing | Conference | 978-1-4503-3282-8 |
Citations | PageRank | References |
4 | 0.43 | 9 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Zainab Abaid | 1 | 4 | 1.44 |
Mohsen Rezvani | 2 | 82 | 11.39 |
Sanjay Jha | 3 | 1745 | 157.12 |