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Critical Infrastructure Network DDoS Defense, via Cognitive Learning
Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.ORCID-id: 0000-0003-0593-1253
Luleå tekniska universitet, Institutionen för system- och rymdteknik, Datavetenskap.ORCID-id: 0000-0003-0244-3561
Rekke forfattare: 22017 (engelsk)Inngår i: / [ed] Pietro Manzoni, Universitat Politècnica de València, Spain, Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), 2017Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

Some public and private services are called part of the Critical Infrastructure (CI), which are considered as the most important services to protect the functioning of a society and the economy.  Many CIs provide services via the Internet and thus cyber-attacks can be performed remotely.  It is now very simple and free to find and download software, which automates performing cyber-attacks.  A recent example is that two teenagers, with close to no security knowledge, created an on-line business. They would run cyber-attacks (online booter service called vDOS, as reported by Brian Krebs) for a small fee. They reportedly earned over 600,000 USD in a short period of time by conducting a large number of automated DDoS cyber-attacks. Then Krebs was retaliated against, and the highest DDoS attack bandwidth ever recorded, 620 Gbps, was launched against Krebs. In this paper we show how cognitive learning can be used to significantly mitigate any effects of DDoS network attacks, against the critical infrastructure.

sted, utgiver, år, opplag, sider
Piscataway, NJ: Institute of Electrical and Electronics Engineers (IEEE), 2017.
Serie
IEEE Consumer Communications and Networking Conference, ISSN 2331-9852, E-ISSN 2331-9860
Emneord [en]
DDoS, Network Security
HSV kategori
Forskningsprogram
Informationssystem; Distribuerade datorsystem
Identifikatorer
URN: urn:nbn:se:ltu:diva-61288DOI: 10.1109/CCNC.2017.8013423ISI: 000412117100005ISBN: 978-1-5090-6196-9 (digital)OAI: oai:DiVA.org:ltu-61288DiVA, id: diva2:1060779
Konferanse
14th Annual IEEE Consumer Communications & Networking Conference, Las Vegas, 8-11 Jan 2017
Tilgjengelig fra: 2016-12-29 Laget: 2016-12-29 Sist oppdatert: 2019-09-13bibliografisk kontrollert

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