Title:
Advancing cyber security with a semantic path merger packet classification algorithm

dc.contributor.advisor Abler, Randal T.
dc.contributor.author Thames, John Lane en_US
dc.contributor.committeeMember Dirk Schaefer
dc.contributor.committeeMember Riley, George F.
dc.contributor.committeeMember Owen, Henry L.
dc.contributor.committeeMember Sivakumar, Raghupathy
dc.contributor.department Electrical and Computer Engineering en_US
dc.date.accessioned 2013-01-17T21:52:15Z
dc.date.available 2013-01-17T21:52:15Z
dc.date.issued 2012-10-30 en_US
dc.description.abstract This dissertation investigates and introduces novel algorithms, theories, and supporting frameworks to significantly improve the growing problem of Internet security. A distributed firewall and active response architecture is introduced that enables any device within a cyber environment to participate in the active discovery and response of cyber attacks. A theory of semantic association systems is developed for the general problem of knowledge discovery in data. The theory of semantic association systems forms the basis of a novel semantic path merger packet classification algorithm. The theoretical aspects of the semantic path merger packet classification algorithm are investigated, and the algorithm's hardware-based implementation is evaluated along with comparative analysis versus content addressable memory. Experimental results show that the hardware implementation of the semantic path merger algorithm significantly outperforms content addressable memory in terms of energy consumption and operational timing. en_US
dc.description.degree PhD en_US
dc.identifier.uri http://hdl.handle.net/1853/45872
dc.publisher Georgia Institute of Technology en_US
dc.subject Computational semantics en_US
dc.subject Graph theory en_US
dc.subject Hardware algorithms en_US
dc.subject Attack detection en_US
dc.subject Distributed internet security en_US
dc.subject Packet classification en_US
dc.subject Intrusion detection en_US
dc.subject Semantic association en_US
dc.subject Semantic networks en_US
dc.subject Content addressable memory en_US
dc.subject SRAM-based trie pipelines en_US
dc.subject Hardware-based trie pipelines en_US
dc.subject Computational intelligence en_US
dc.subject Neural networks en_US
dc.subject Parametric optimization en_US
dc.subject Genetic algorithms en_US
dc.subject Self-organizing maps en_US
dc.subject Ensemble intelligence en_US
dc.subject Firewalls en_US
dc.subject Routing en_US
dc.subject Packet filters en_US
dc.subject.lcsh Cyber intelligence (Computer security)
dc.subject.lcsh Algorithms
dc.subject.lcsh Cyberterrorism
dc.subject.lcsh Denial of service attacks
dc.subject.lcsh Anomaly detection (Computer security)
dc.title Advancing cyber security with a semantic path merger packet classification algorithm en_US
dc.type Text
dc.type.genre Dissertation
dspace.entity.type Publication
local.contributor.corporatename School of Electrical and Computer Engineering
local.contributor.corporatename College of Engineering
relation.isOrgUnitOfPublication 5b7adef2-447c-4270-b9fc-846bd76f80f2
relation.isOrgUnitOfPublication 7c022d60-21d5-497c-b552-95e489a06569
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