On data mining applications in mobile networking and network security

Zolotukhin, Mikhail

dc.contributor.author	Zolotukhin, Mikhail
dc.date.accessioned	2014-05-08T07:28:28Z
dc.date.available	2014-05-08T07:28:28Z
dc.date.issued	2014
dc.identifier.isbn	978-951-39-5676-9
dc.identifier.other	oai:jykdok.linneanet.fi:1434259
dc.identifier.uri	https://jyx.jyu.fi/handle/123456789/43336
dc.format.extent	1 verkkoaineisto (72 sivua)
dc.language.iso	eng
dc.publisher	University of Jyväskylä
dc.relation.ispartofseries	Jyväskylä studies in computing
dc.relation.haspart	<b>Article I:</b> Mikhail Zolotukhin, Vesa Hytönen, Timo Hämäläinen and Andrey Garnaev. Optimal Relays Deployment for 802.16j Networks. Springer. <i>Mobile Networks and Management. Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering, Vol. 97, pp. 31–45, 2012</i>. <a href=" http://dx.doi.org/10.1007/978-3-642-30422-4_3 ">DOI: 10.1080/10.1007/978-3-642-30422-4_3 </a>.
dc.relation.haspart	<b>Article II:</b> Mikhail Zolotukhin, Timo Hämäläinen and Andrey Garnaev. A Relay Deployment Mechanism for One Scenario of Cost-Effective Coverage Extension in IEEE 802.16j Networks. <i>Proceedings of the 5th International Conference on New Technologies, Mobility and Security (NTMS) , pp. 1–6, 2012</i>. <a href=" http://dx.doi.org/10.1109/NTMS.2012.6208709 ">DOI: 10.1109/NTMS.2012.6208709 </a>
dc.relation.haspart	<b>Article III:</b> Mikhail Zolotukhin, Timo Hämäläinen and Antti Juvonen. Online anomaly detection by using N-gram model and growing hierarchical selforganizing maps. <i>Proceedings of the 8th International Wireless Communications and Mobile Computing Conference (IWCMC) , pp. 47–52, 2012.</i> <a href=" http://dx.doi.org/10.1109/IWCMC.2012.6314176 ">DOI: 10.1109/IWCMC.2012.6314176 </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 Detection of Web Attacks. Springer. <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> Mikhail Zolotukhin, Elena Ivannikova and Timo Hämäläinen. Novel Method for the Prediction of Mobile Location Based on Temporal-Spatial Behavioral Patterns. <i>Proceedings of the 3rd IEEE International Conference on Information Science and Technology (ICIST) , pp. 761–766, 2013.</i> <a href=" http://dx.doi.org/10.1109/ICIST.2013.6747655 ">DOI: 10.1109/ICIST.2013.6747655 </a>.
dc.relation.haspart	<b>Article VI:</b> Mikhail Zolotukhin and Timo Hämäläinen. Detection of Anomalous HTTP Requests Based on Advanced N-gram Model and Clustering Techniques. Springer. <i>Internet of Things, Smart Spaces, and Next Generation Networking. Lecture Notes in Computer Science , Vol. 8121, pp. 371–382, 2013.</i><a href=" http://dx.doi.org/10.1007/978-3-642-40316-3_33 ">DOI: 10.1007/978-3-642-40316-3_33 </a>.
dc.relation.haspart	<b>Article VII:</b> Mikhail Zolotukhin and Timo Hämäläinen. Support Vector Machine Integrated with Game-Theoretic Approach and Genetic Algorithm for the Detection and Classification of Malware. <i>Proceedings of Globecom 2013 Workshop - the 1st International Workshop on Security and Privacy in Big Data, pp. 211–216, 2013.</i> <a href=" http://dx.doi.org/ 10.1109/GLOCOMW.2013.6824988 ">DOI: 10.1109/GLOCOMW.2013.6824988 .</a>
dc.relation.haspart	<b>Article VIII:</b> Mikhail Zolotukhin and Timo Hämäläinen. Detection of Zero-day Malware Based on the Analysis of Opcode Sequences.<i> Proceedings of the 11th Annual IEEE Consumer Communications and Networking Conference (CCNC), pp. 386 - 391, 2014</i> <a href="http://dx.doi.org/10.1109/CCNC.2014.6866599 ">DOI: 10.1109/CCNC.2014.6866599 </a>
dc.subject.other	data mining
dc.subject.other	machine learning
dc.subject.other	classification
dc.subject.other	clustering
dc.subject.other	anomaly detection
dc.subject.other	relay station
dc.subject.other	mobile data
dc.subject.other	network security
dc.title	On data mining applications in mobile networking and network security
dc.type	Diss.
dc.identifier.urn	URN:ISBN:978-951-39-5676-9
dc.type.dcmitype	Text	en
dc.type.ontasot	Väitöskirja	fi
dc.type.ontasot	Doctoral dissertation	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	189
dc.rights.accesslevel	openAccess	fi
dc.subject.yso	tiedonlouhinta
dc.subject.yso	koneoppiminen
dc.subject.yso	algoritmit
dc.subject.yso	geneettiset algoritmit
dc.subject.yso	klusterianalyysi
dc.subject.yso	langattomat verkot
dc.subject.yso	matkaviestinverkot
dc.subject.yso	langaton tiedonsiirto
dc.subject.yso	tietoturva
dc.subject.yso	kyberturvallisuus