Intrusion detection applications using knowledge discovery and data mining
| dc.contributor.author | Juvonen, Antti | |
| dc.date.accessioned | 2014-11-27T10:52:14Z | |
| dc.date.available | 2014-11-27T10:52:14Z | |
| dc.date.issued | 2014 | |
| dc.identifier.isbn | 978-951-39-5978-4 | |
| dc.identifier.other | oai:jykdok.linneanet.fi:1451973 | |
| dc.identifier.uri | https://jyx.jyu.fi/handle/123456789/44755 | |
| dc.format.extent | 1 verkkoaineisto (57, [52] sivua) | |
| dc.language.iso | eng | |
| dc.publisher | University of Jyväskylä | |
| dc.relation.ispartofseries | Jyväskylä studies in computing | |
| dc.relation.haspart | <b>Article I: </b> Tuomo Sipola, Antti Juvonen and Joel Lehtonen. Anomaly detection from network logs using diffusion maps. <i> Engineering Applications of Neural Networks, IFIP Advances in Information and Communication Technology, Vol. 363, pp. 172–181, 2011 </i> <a href=" http://urn.fi/URN:NBN:fi:jyu-201206051800 ">.Full text</a> | |
| dc.relation.haspart | <b>Article II: </b> Tuomo Sipola, Antti Juvonen and Joel Lehtonen. Dimensionality reduction framework for detecting anomalies from network logs. <i>Engineering Intelligent Systems, Vol. 20, Iss. 1–2, pp. 87–97, 2012. </i> <a href=" http://urn.fi/URN:NBN:fi:jyu-201210122663 ">Full text</a> | |
| dc.relation.haspart | <b>Article III: </b> Antti Juvonen and Tuomo Sipola. Adaptive framework for network traffic classification using dimensionality reduction and clustering. <i>Ultra Modern Telecommunications and Control Systems and Workshops (ICUMT), 2012 4th International Congress on, pp. 274–279, 2012. </i> <a href="http://urn.fi/URN:NBN:fi:jyu-201304121436 ">Full text</a> | |
| dc.relation.haspart | <b>Article IV: </b> Mikhail Zolotukhin, Timo Hämäläinen and Antti Juvonen. Growing hierarchical self-organizing maps and statistical distribution models for online detecion of web attacks. <i>Web Information Systems and Technologies. Lecture Notes in Business Information Processing, Vol. 140, pp. 281–295, 2013. </i><a href=" http://dx.doi.org/ 10.1007/978-3-642-36608-6_18 ">DOI: 10.1007/978-3-642-36608-6_18 </a> | |
| dc.relation.haspart | <b>Article V: </b> Antti Juvonen and Tuomo Sipola. Combining conjunctive rule extraction with diffusion maps for network intrusion detection. <i>The Eighteenth IEEE Symposium on Computers and Communications (ISCC 2013), pp. 411–416, 2013.</i><a href="http://urn.fi/URN:NBN:fi:jyu-201404031456 "> Full text</a>. | |
| dc.relation.haspart | <b>Article VI: </b> Antti Juvonen and Timo Hämäläinen. An efficient network log anomaly detection system using random projection dimensionality reduction. <i>New Technologies, Mobility and Security (NTMS), 2014 6th International Conference on, 2014.</i><a href="http://urn.fi/URN:NBN:fi:jyu-201406252141 "> Full text</a> | |
| dc.relation.haspart | <b>ArticleVII: </b> Antti Juvonen, Tuomo Sipola and Timo Hämäläinen. Online anomaly detection using dimensionality reduction techniques for http log analysis. <i>Submitted to Computer Networks, Elsevier, 2014.</i> | |
| dc.rights | In Copyright | |
| dc.subject.other | knowledge discovery | |
| dc.subject.other | data mining | |
| dc.subject.other | intrusion detection | |
| dc.subject.other | anomaly detection | |
| dc.subject.other | dimensionality reduction | |
| dc.subject.other | clustering | |
| dc.title | Intrusion detection applications using knowledge discovery and data mining | |
| dc.type | Diss. | |
| dc.identifier.urn | URN:ISBN:978-951-39-5978-4 | |
| dc.type.dcmitype | Text | en |
| dc.type.ontasot | Väitöskirja | fi |
| dc.type.ontasot | Doctoral dissertation | en |
| dc.contributor.tiedekunta | Faculty of Information Technology | en |
| dc.contributor.tiedekunta | Informaatioteknologian tiedekunta | fi |
| dc.contributor.yliopisto | University of Jyväskylä | en |
| dc.contributor.yliopisto | Jyväskylän yliopisto | fi |
| dc.contributor.oppiaine | Tietotekniikka | fi |
| dc.relation.issn | 1456-5390 | |
| dc.relation.numberinseries | 205 | |
| dc.rights.accesslevel | openAccess | |
| dc.subject.yso | tietoturva | |
| dc.subject.yso | kyberturvallisuus | |
| dc.subject.yso | pääsynvalvonta | |
| dc.subject.yso | verkkohyökkäykset | |
| dc.subject.yso | valvontajärjestelmät | |
| dc.subject.yso | big data | |
| dc.subject.yso | tiedonlouhinta | |
| dc.subject.yso | algoritmit | |
| dc.subject.yso | klusterianalyysi | |
| dc.rights.url | https://rightsstatements.org/page/InC/1.0/ |
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