| dc.contributor.author | Zolotukhin, Mikhail | |
| dc.contributor.author | Ivannikova, Elena | |
| dc.contributor.author | Hämäläinen, Timo | |
| dc.contributor.editor | Galinina, Olga | |
| dc.contributor.editor | Andreev, Sergey | |
| dc.contributor.editor | Balandin, Sergey | |
| dc.contributor.editor | Koucheryavy, Yevgeni | |
| dc.date.accessioned | 2017-10-31T11:27:52Z | |
| dc.date.available | 2018-09-13T21:35:37Z | |
| dc.date.issued | 2017 | |
| dc.identifier.citation | Zolotukhin, M., Ivannikova, E., & Hämäläinen, T. (2017). On Detection of Network-Based Co-residence Verification Attacks in SDN-Driven Clouds. In O. Galinina, S. Andreev, S. Balandin, & Y. Koucheryavy (Eds.), <i>NEW2AN 2017, ruSMART 2017, NsCC 2017 : Internet of Things, Smart Spaces, and Next Generation Networks and Systems</i> (pp. 235-246). Springer International Publishing. Lecture Notes in Computer Science, 10531. <a href="https://doi.org/10.1007/978-3-319-67380-6_22" target="_blank">https://doi.org/10.1007/978-3-319-67380-6_22</a> | |
| dc.identifier.other | CONVID_27214976 | |
| dc.identifier.other | TUTKAID_74961 | |
| dc.identifier.uri | https://jyx.jyu.fi/handle/123456789/55744 | |
| dc.description.abstract | Modern cloud environments allow users to consume computational
and storage resources in the form of virtual machines. Even
though machines running on the same cloud server are logically isolated
from each other, a malicious customer can create various side channels
to obtain sensitive information from co-located machines. In this study,
we concentrate on timely detection of intentional co-residence attempts
in cloud environments that utilize software-defined networking. SDN enables
global visibility of the network state which allows the cloud provider
to monitor and extract necessary information from each flow in every
virtual network in online mode. We analyze the extracted statistics on
different levels in order to find anomalous patterns. The detection results
obtained show us that the co-residence verification attack can be
detected with the methods that are usually employed for botnet analysis. | |
| dc.format.extent | 769 | |
| dc.language.iso | eng | |
| dc.publisher | Springer International Publishing | |
| dc.relation.ispartof | NEW2AN 2017, ruSMART 2017, NsCC 2017 : Internet of Things, Smart Spaces, and Next Generation Networks and Systems | |
| dc.relation.ispartofseries | Lecture Notes in Computer Science | |
| dc.subject.other | cloud environments | |
| dc.subject.other | virtual networks | |
| dc.subject.other | co-residence detection | |
| dc.title | On Detection of Network-Based Co-residence Verification Attacks in SDN-Driven Clouds | |
| dc.type | conferenceObject | |
| dc.identifier.urn | URN:NBN:fi:jyu-201710304090 | |
| dc.contributor.laitos | Informaatioteknologian tiedekunta | fi |
| dc.contributor.laitos | Faculty of Information Technology | en |
| dc.contributor.oppiaine | Tietotekniikka | fi |
| dc.contributor.oppiaine | Mathematical Information Technology | en |
| dc.type.uri | http://purl.org/eprint/type/ConferencePaper | |
| dc.date.updated | 2017-10-30T13:15:05Z | |
| dc.relation.isbn | 978-3-319-67379-0 | |
| dc.type.coar | http://purl.org/coar/resource_type/c_5794 | |
| dc.description.reviewstatus | peerReviewed | |
| dc.format.pagerange | 235-246 | |
| dc.relation.issn | 0302-9743 | |
| dc.type.version | acceptedVersion | |
| dc.rights.copyright | © Springer International Publishing AG 2017. This is a final draft version of an article whose final and definitive form has been published by Springer. Published in this repository with the kind permission of the publisher. | |
| dc.rights.accesslevel | openAccess | fi |
| dc.relation.conference | International Conference on Next Generation Wired/Wireless Advanced Networks and Systems | |
| dc.subject.yso | pilvipalvelut | |
| dc.subject.yso | tietoturva | |
| jyx.subject.uri | http://www.yso.fi/onto/yso/p24167 | |
| jyx.subject.uri | http://www.yso.fi/onto/yso/p5479 | |
| dc.relation.doi | 10.1007/978-3-319-67380-6_22 | |
| dc.type.okm | A4 | |
