X-Swarm: The Upcoming Swarm Worm

dc.contributor.authorTruong, Thanh Cong
dc.contributor.authorDiep, Quoc Bao
dc.contributor.authorZelinka, Ivan
dc.contributor.authorDao, Than Trong
dc.coverage.issue1cs
dc.coverage.volume26cs
dc.date.accessioned2020-09-01T07:01:24Z
dc.date.available2020-09-01T07:01:24Z
dc.date.issued2020-08-24cs
dc.description.abstractWith the rapid growth of technology in the digital landscape, cybercriminals attempt to utilize new and sophisticated techniques to autonomous and increase the speed and scale of their attacks. Meanwhile, the Dark Web infrastructures such as Tor, plays a crucial role in the criminal underground, especially for malware developers' communities. It is logical to expect that the malicious actors would utilize the combination of these techniques in shortcoming time. To better understand the upcoming threat, in this manuscript, we investigate the design and mitigation of such malware. Accordingly, we introduce X-sWarm, which will be the next generation of resilient, stealthy malware that leverages the intelligent technique and the darknet infrastructures. Furthermore, we show that with the self-healing network mechanism, X-sWarm can achieve a low diameter and a low degree and be robust to partitioning under node removal. More importantly, we suggest the mitigation technique that neutralizes the nodes of the proposed worm.en
dc.formattextcs
dc.format.extent7-14cs
dc.format.mimetypeapplication/pdfen
dc.identifier.citationMendel. 2020 vol. 26, č. 1, s. 7-14. ISSN 1803-3814cs
dc.identifier.doi10.13164/mendel.2020.1.007en
dc.identifier.issn2571-3701
dc.identifier.issn1803-3814
dc.identifier.urihttp://hdl.handle.net/11012/195021
dc.language.isoencs
dc.publisherInstitute of Automation and Computer Science, Brno University of Technologycs
dc.relation.ispartofMendelcs
dc.relation.urihttps://mendel-journal.org/index.php/mendel/article/view/112cs
dc.rightsCreative Commons Attribution-NonCommercial-ShareAlike 4.0 International licenseen
dc.rights.accessopenAccessen
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0en
dc.subjectSwarm intelligenceen
dc.subjectmalwareen
dc.subjectToren
dc.subjectcybersecurityen
dc.subjectself-healing networken
dc.titleX-Swarm: The Upcoming Swarm Wormen
dc.type.driverarticleen
dc.type.statusPeer-revieweden
dc.type.versionpublishedVersionen
eprints.affiliatedInstitution.facultyFakulta strojního inženýrstvícs
Files
Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
112-Article Text-216-1-10-20200826.pdf
Size:
883.08 KB
Format:
Adobe Portable Document Format
Description:
Collections