Research into GPU accelerated pattern matching for applications in computer security
| dc.contributor.author | Gee, Alexander | |
| dc.date.accessioned | 2017-12-05T03:02:56Z | |
| dc.date.available | 2017-12-05T03:02:56Z | |
| dc.date.issued | 2009 | en |
| dc.description.abstract | Pattern matching is a fundamental part of many computer programs. Accelerating this process using Graphics Processing Units (GPUs) is thus greatly advantageous for many applications such as intrusion detection systems. This research investigates the implementation of pattern matching on these massively parallel processing units. The second area of research is implementation efficiency and performance advantages introduced by GPU acceleration of this family of algorithms. | en |
| dc.identifier.uri | http://hdl.handle.net/10092/14850 | |
| dc.identifier.uri | http://dx.doi.org/10.26021/2981 | |
| dc.language | English | |
| dc.language.iso | en | |
| dc.publisher | University of Canterbury | en |
| dc.rights | All Right Reserved | en |
| dc.rights.uri | https://canterbury.libguides.com/rights/theses | en |
| dc.title | Research into GPU accelerated pattern matching for applications in computer security | en |
| dc.type | Theses / Dissertations | en |
| thesis.degree.grantor | University of Canterbury | en |
| thesis.degree.level | Doctoral | en |
| thesis.degree.name | Other | en |
| uc.college | Faculty of Engineering | en |