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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Narang, Pratik | - |
dc.date.accessioned | 2023-01-07T04:27:04Z | - |
dc.date.available | 2023-01-07T04:27:04Z | - |
dc.date.issued | 2014 | - |
dc.identifier.uri | https://dl.acm.org/doi/pdf/10.5555/2726970.2726990 | - |
dc.identifier.uri | http://dspace.bits-pilani.ac.in:8080/xmlui/handle/123456789/8374 | - |
dc.description.abstract | This paper presents Hades, a Hadoop-based framework for detection of P2P botnets in an enterprise-level network, which is distributed and scalable by design. The contri- butions of this work are two-fold: Firstly, our work uses the Hadoop-ecosystem to adopt a ‘host-aggregation based’ approach which aggregates behavioral metrics for each Peer- to-Peer (P2P) host seen in network communications, and uses them to distinguish between benign P2P hosts and hosts infected by P2P botnets. Secondly, we propose a distributed data-collection architecture which can monitor inside-to-inside LAN traffic, as opposed to relying solely on the NetFlow information available at a backbone router which cannot see the LAN communications happening in the network. | en_US |
dc.language.iso | en | en_US |
dc.publisher | ACM Digital Library | en_US |
dc.subject | Computer Science | en_US |
dc.subject | Network | en_US |
dc.subject | Lan Communication | en_US |
dc.title | Hades: A Hadoopbased Framework for Detection of PeertoPeer Botnets | en_US |
dc.type | Article | en_US |
Appears in Collections: | Department of Computer Science and Information Systems |
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