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[{"key": "dc.contributor.author", "value": "Baruch, Moran", "language": null, "element": "contributor", "qualifier": "author", "schema": "dc"}, {"key": "dc.date.accessioned", "value": "2017-01-18T09:41:36Z", "language": null, "element": "date", "qualifier": "accessioned", "schema": "dc"}, {"key": "dc.date.available", "value": "2017-01-18T09:41:36Z", "language": null, "element": "date", "qualifier": "available", "schema": "dc"}, {"key": "dc.date.issued", "value": "2016", "language": null, "element": "date", "qualifier": "issued", "schema": "dc"}, {"key": "dc.identifier.other", "value": "oai:jykdok.linneanet.fi:1659122", "language": null, "element": "identifier", "qualifier": "other", "schema": "dc"}, {"key": "dc.identifier.uri", "value": "https://jyx.jyu.fi/handle/123456789/52755", "language": null, "element": "identifier", "qualifier": "uri", "schema": "dc"}, {"key": "dc.description.abstract", "value": "Yksi yleisimmist\u00e4 kyberhy\u00f6kk\u00e4ysist\u00e4 on k\u00e4ytt\u00e4\u00e4 ryhm\u00e4 yksityisi\u00e4 tietokoneita (private \ncomputers), joita k\u00e4ytet\u00e4\u00e4n esimerkiksi salaisien tietojen levitt\u00e4miseen. N\u00e4it\u00e4 koneryhmi\u00e4 \nkutsutaan botnet. Botnetit pysyv\u00e4t havaitsemattomana k\u00e4ytt\u00e4m\u00e4ll\u00e4 Domain Name \nGeneration (DGA) menetelm\u00e4\u00e4, joka luo ajoittain ja ratkaisee suurina lukum\u00e4\u00e4rin\u00e4 erillaisia \npseudosatunnaisia verkkotunnuksia, kunnes jokin n\u00e4ist\u00e4 pseudosatunnaisista \nverkkotunnuksista DNS palvelin hyv\u00e4ksyy. T\u00e4m\u00e4n tutkielman tarkoitus on kehitell\u00e4 ei-\nohjattuja koneoppimismenetelmi\u00e4 ja vertailla n\u00e4iden tarkkuutta ohjattuihin \nkoneoppimismenetelmiin DGA hy\u00f6kk\u00e4yksien havaitsemiseen. Lis\u00e4ksi, tutkielmassa \nesitell\u00e4\u00e4n Random One Class Support Vector Machine (ROC-SVM) menetelm\u00e4, joka \nhavaitsee tarkemmin DGA hy\u00f6kk\u00e4yksi\u00e4 verrattuna ohjatuihin koneoppimismenetelmiin.", "language": "fi", "element": "description", "qualifier": "abstract", "schema": "dc"}, {"key": "dc.description.abstract", "value": "botnet is a network of private computers infected with malicious software and controlled \nas a group without the knowledge of the owners. Botnets are used by cyber criminals for \nvarious malicious activities such as stealing sensitive data, sending spam, launching \nDistributed Denial of Service (DDoS) attacks, etc. A Command and Control (C&C) server \nsends commands to the compromised hosts for executing those malicious activities. In order \nto avoid detection, recent botnets such as Conficker, Zeus and Cryptolocker apply a \ntechnique called Domain Fluxing or Domain Name Generation Algorithms (DGA), where \nthe infected bot is periodically generating and trying to resolve a large number of pseudo-\nrandom domain names until one of them is resolved by the DNS server. In this thesis, we \nsurvey different machine learning methods for detecting such DGAs by analyzing only the \nalphanumeric characteristics of the domain names in the network. We propose unsupervised \nmodels and evaluate their performance while comparing them with existing supervised \nmodels used in previous researches in this field. In addition, we propose a novel approach \nfor unsupervised one-class SVM model for anomaly detection, which called Random One \nClass SVM (ROC-SVM). Our proposed unsupervised methods achieve better results than \nthe compared supervised techniques, while detecting zero-day DGAs. If the run-time is of \nmain concern, our novel approach for unsupervised one-class SVM is the best model among \nthe others.", "language": "en", "element": "description", "qualifier": "abstract", "schema": "dc"}, {"key": "dc.description.provenance", "value": "Submitted using Plone Publishing form by Miia Hakanen (mihakane) on 2017-01-18 09:41:35.229147. Form: Admin-lomake opinn\u00e4ytteiden julkaisuun (https://kirjasto.jyu.fi/julkaisut/julkaisulomakkeet/admin-lomake-opinnaytteet). JyX data: [jyx_publishing-allowed (fi) =True]", "language": "en", "element": "description", "qualifier": "provenance", "schema": "dc"}, {"key": "dc.description.provenance", "value": "Submitted by jyx lomake-julkaisija (jyx-julkaisija.group@korppi.jyu.fi) on 2017-01-18T09:41:36Z\nNo. of bitstreams: 2\nURN:NBN:fi:jyu-201701181180.pdf: 1925969 bytes, checksum: 634e2344fa7bb73aa1345d3dbeb9080b (MD5)\nlicense.html: 107 bytes, checksum: a7d86e598caa500b1b433bbb9dc8ef1c (MD5)", "language": "en", "element": "description", "qualifier": "provenance", "schema": "dc"}, {"key": "dc.description.provenance", "value": "Made available in DSpace on 2017-01-18T09:41:36Z (GMT). No. of bitstreams: 2\nURN:NBN:fi:jyu-201701181180.pdf: 1925969 bytes, checksum: 634e2344fa7bb73aa1345d3dbeb9080b (MD5)\nlicense.html: 107 bytes, checksum: a7d86e598caa500b1b433bbb9dc8ef1c (MD5)\n Previous issue date: 2016", "language": "en", "element": "description", "qualifier": "provenance", "schema": "dc"}, {"key": "dc.format.extent", "value": "1 verkkoaineisto (54 sivua)", "language": null, "element": "format", "qualifier": "extent", "schema": "dc"}, {"key": "dc.format.mimetype", "value": "application/pdf", "language": null, "element": "format", "qualifier": "mimetype", "schema": "dc"}, {"key": "dc.language.iso", "value": "eng", "language": null, "element": "language", "qualifier": "iso", "schema": "dc"}, {"key": "dc.rights", "value": "In Copyright", "language": "en", "element": "rights", "qualifier": null, "schema": "dc"}, {"key": "dc.subject.other", "value": "rakenteeton data", "language": null, "element": "subject", "qualifier": "other", "schema": "dc"}, {"key": "dc.subject.other", "value": "DGA-algoritmi", "language": null, "element": "subject", "qualifier": "other", "schema": "dc"}, {"key": "dc.subject.other", "value": "botnet", "language": null, "element": "subject", "qualifier": "other", "schema": "dc"}, {"key": "dc.title", "value": "DGA detection using machine learning methods", "language": null, "element": "title", "qualifier": null, "schema": "dc"}, {"key": "dc.type", "value": "master thesis", "language": null, "element": "type", "qualifier": null, "schema": "dc"}, {"key": "dc.identifier.urn", "value": "URN:NBN:fi:jyu-201701181180", "language": null, "element": "identifier", "qualifier": "urn", "schema": "dc"}, {"key": "dc.type.ontasot", "value": "Pro gradu -tutkielma", "language": "fi", "element": "type", "qualifier": "ontasot", "schema": "dc"}, {"key": "dc.type.ontasot", "value": "Master\u2019s thesis", "language": "en", "element": "type", "qualifier": "ontasot", "schema": "dc"}, {"key": "dc.contributor.faculty", "value": "Informaatioteknologian tiedekunta", "language": "fi", "element": "contributor", "qualifier": "faculty", "schema": "dc"}, {"key": "dc.contributor.faculty", "value": "Faculty of Information Technology", "language": "en", "element": "contributor", "qualifier": "faculty", "schema": "dc"}, {"key": "dc.contributor.department", "value": "Tietotekniikan laitos", "language": "fi", "element": "contributor", "qualifier": "department", "schema": "dc"}, {"key": "dc.contributor.department", "value": "Department of Mathematical Information Technology", "language": "en", "element": "contributor", "qualifier": "department", "schema": "dc"}, {"key": "dc.contributor.organization", "value": "University of Jyv\u00e4skyl\u00e4", "language": "en", "element": "contributor", "qualifier": "organization", "schema": "dc"}, {"key": "dc.contributor.organization", "value": "Jyv\u00e4skyl\u00e4n yliopisto", "language": "fi", "element": "contributor", "qualifier": "organization", "schema": "dc"}, {"key": "dc.subject.discipline", "value": "Tietotekniikka", "language": "fi", "element": "subject", "qualifier": "discipline", "schema": "dc"}, {"key": "dc.subject.discipline", "value": "Mathematical Information Technology", "language": "en", "element": "subject", "qualifier": "discipline", "schema": "dc"}, {"key": "dc.date.updated", "value": "2017-01-18T09:41:36Z", "language": null, "element": "date", "qualifier": "updated", "schema": "dc"}, {"key": "yvv.contractresearch.funding", "value": "0", "language": null, "element": "contractresearch", "qualifier": "funding", "schema": "yvv"}, {"key": "dc.type.coar", "value": "http://purl.org/coar/resource_type/c_bdcc", "language": null, "element": "type", "qualifier": "coar", "schema": "dc"}, {"key": "dc.rights.accesslevel", "value": "openAccess", "language": "fi", "element": "rights", "qualifier": "accesslevel", "schema": "dc"}, {"key": "dc.type.publication", "value": "masterThesis", "language": null, "element": "type", "qualifier": "publication", "schema": "dc"}, {"key": "dc.subject.oppiainekoodi", "value": "602", "language": null, "element": "subject", "qualifier": "oppiainekoodi", "schema": "dc"}, {"key": "dc.subject.yso", "value": "koneoppiminen", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.subject.yso", "value": "tietoturva", "language": null, "element": "subject", "qualifier": "yso", "schema": "dc"}, {"key": "dc.format.content", "value": "fulltext", "language": null, "element": "format", "qualifier": "content", "schema": "dc"}, {"key": "dc.rights.url", "value": "https://rightsstatements.org/page/InC/1.0/", "language": null, "element": "rights", "qualifier": "url", "schema": "dc"}, {"key": "dc.type.okm", "value": "G2", "language": null, "element": "type", "qualifier": "okm", "schema": "dc"}]
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