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[{"key": "dc.contributor.advisor", "value": "Frantti, Tapio", "language": null, "element": "contributor", "qualifier": "advisor", "schema": "dc"}, {"key": "dc.contributor.author", "value": "Lehkonen, Riku Petteri", "language": null, "element": "contributor", "qualifier": "author", "schema": "dc"}, {"key": "dc.date.accessioned", "value": "2024-06-10T19:45:35Z", "language": null, "element": "date", "qualifier": "accessioned", "schema": "dc"}, {"key": "dc.date.available", "value": "2024-06-10T19:45:35Z", "language": null, "element": "date", "qualifier": "available", "schema": "dc"}, {"key": "dc.date.issued", "value": "2024", "language": null, "element": "date", "qualifier": "issued", "schema": "dc"}, {"key": "dc.identifier.uri", "value": "https://jyx.jyu.fi/handle/123456789/95718", "language": null, "element": "identifier", "qualifier": "uri", "schema": "dc"}, {"key": "dc.description.abstract", "value": "This research introduces a novel framework, which supports the detection of\ncovert timing channels by detailing generic covert timing channel features. The framework\nis developed using the design science research methodology and has been validated by gen-\nerating and detecting a simple covert timing channel. Furthermore, the study reviews the\nexisting landscape of covert channels and determines that majority of research on covert\nchannel detection is very protocol and environment dependant, thus there is lack of flexibil-\nity for them to function as a generic detection technique. The absence of effective generic\ndetection techniques makes it challenging to implement covert timing channel detection in\npractice, such as for backdoor detection. The research also highlights the insufficiency in\ncurrent covert channel detection research, since it is not approached holistically through all\nthe system elements. The resulting framework offers features for generic covert timing chan-\nnel detection developers, which may be used for classifiers. Enhancing the development of\ndetectors for defense evasion techniques supports in improving backdoor remote communi-\ncation detection.\n\nThe research was supported by Business Finland (grant number 10/31/2022) and the Univer-\nsity of Jyv\u00e4kyl\u00e4.", "language": "en", "element": "description", "qualifier": "abstract", "schema": "dc"}, {"key": "dc.description.abstract", "value": "T\u00e4ss\u00e4 tutkimuksessa esitell\u00e4\u00e4n uusi kehys, joka tukee ajoitus-\npeitekanavien havaitsemista m\u00e4\u00e4rittelem\u00e4ll\u00e4 niiden yleiset ominaisuudet. Kehys on kehitetty\nk\u00e4ytt\u00e4en suunnittelututkimus tutkimusmenetelm\u00e4\u00e4, ja se on validoitu luomalla ja havaitse-\nmalla yksinkertainen ajoituspeitekanava. Lis\u00e4ksi tutkimuksessa tarkastellaan olemassa ole-\nvia peitekanavatutkimuksia ja todetaan, ett\u00e4 suurin osa peitekanavien havaitsemista koske-\nvista tutkimuksista on hyvin protokollasta ja ymp\u00e4rist\u00f6st\u00e4 riippuvaisia, joten ne eiv\u00e4t ole\nriitt\u00e4v\u00e4n joustavia toimimaan yleisin\u00e4 havaitsemistekniikoina. Tehokkaiden yleisten havait-\nsemistekniikoiden puuttuminen tekee ajoituspeitekanavien havaitsemisen toteuttamisesta haas-\ntavaa k\u00e4yt\u00e4nn\u00f6ss\u00e4, kuten takaovien havaitsemiseksi. Tutkimuksessa korostetaan my\u00f6s nykyisen\npeitekanavien havaitsemista koskevan tutkimuksen riitt\u00e4m\u00e4tt\u00f6myytt\u00e4, koska sit\u00e4 ei l\u00e4hestyt\u00e4\nkokonaisvaltaisesti kaikkien j\u00e4rjestelm\u00e4elementtien kautta. Tutkimuksen tuloksena syntynyt\nkehys tarjoaa yleistett\u00e4vi\u00e4 ominaisuuksia ajoituspeitekanavien havaitsemisenmenetelmien\nkehitt\u00e4ji\u00e4 varten, joita voidaan k\u00e4ytt\u00e4\u00e4 luokittelijoissa. Puolustuksen v\u00e4ltt\u00e4mistekniikoiden\nhavaitsemisen kehitt\u00e4misen parantaminen tukee takaovien et\u00e4viestinn\u00e4n havaitsemista.\n\nTutkimusta ovat tukeneet Business Finland (apuraha nro 10/31/2022) ja Jyv\u00e4kyl\u00e4n yliopisto.", "language": "fi", "element": "description", "qualifier": "abstract", "schema": "dc"}, {"key": "dc.description.provenance", "value": "Submitted by jyx lomake-julkaisija (jyx-julkaisija.group@korppi.jyu.fi) on 2024-06-10T19:45:35Z\nNo. of bitstreams: 0", "language": "en", "element": "description", "qualifier": "provenance", "schema": "dc"}, {"key": "dc.description.provenance", "value": "Made available in DSpace on 2024-06-10T19:45:35Z (GMT). No. of bitstreams: 0", "language": "en", "element": "description", "qualifier": "provenance", "schema": "dc"}, {"key": "dc.format.extent", "value": "80", "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": "CC BY 4.0", "language": "en", "element": "rights", "qualifier": null, "schema": "dc"}, {"key": "dc.title", "value": "Improving backdoor remote communication detection with covert channel feature analysis", "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-202406104489", "language": null, "element": "identifier", "qualifier": "urn", "schema": "dc"}, {"key": "dc.contributor.faculty", "value": "Faculty of Information Technology", "language": "en", "element": "contributor", "qualifier": "faculty", "schema": "dc"}, {"key": "dc.contributor.faculty", "value": "Informaatioteknologian tiedekunta", "language": "fi", "element": "contributor", "qualifier": "faculty", "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": "Specialisation in Software Development", "language": "en", "element": "subject", "qualifier": "discipline", "schema": "dc"}, {"key": "dc.subject.discipline", "value": "Ohjelmistokehityksen opintosuunta", "language": "fi", "element": "subject", "qualifier": "discipline", "schema": "dc"}, {"key": "dc.type.coar", "value": "http://purl.org/coar/resource_type/c_bdcc", "language": null, "element": "type", "qualifier": "coar", "schema": "dc"}, {"key": "dc.rights.copyright", "value": "\u00a9 The Author(s)", "language": null, "element": "rights", "qualifier": "copyright", "schema": "dc"}, {"key": "dc.rights.accesslevel", "value": "openAccess", "language": null, "element": "rights", "qualifier": "accesslevel", "schema": "dc"}, {"key": "dc.type.publication", "value": "masterThesis", "language": null, "element": "type", "qualifier": "publication", "schema": "dc"}, {"key": "dc.format.content", "value": "fulltext", "language": null, "element": "format", "qualifier": "content", "schema": "dc"}, {"key": "dc.rights.url", "value": "https://creativecommons.org/licenses/by/4.0/", "language": null, "element": "rights", "qualifier": "url", "schema": "dc"}]
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