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Critical Infrastructure Network DDoS Defense, via Cognitive Learning
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.ORCID iD: 0000-0003-0593-1253
Luleå University of Technology, Department of Computer Science, Electrical and Space Engineering, Computer Science.ORCID iD: 0000-0003-0244-3561
Number of Authors: 2
2017 (English)In: The 14th Annual IEEE Consumer Communications & Networking Conference / [ed] Pietro Manzoni, Universitat Politècnica de València, Spain, 2017Conference paper (Refereed)
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.

Place, publisher, year, edition, pages
2017.
Series
The 14th Annual IEEE Consumer Communications & Networking Conference, ISSN 0163-6804
Keyword [en]
DDoS; Network Security
National Category
Electrical Engineering, Electronic Engineering, Information Engineering Communication Systems Information Systems, Social aspects Media and Communication Technology
Research subject
Information systems; Mobile and Pervasive Computing
Identifiers
URN: urn:nbn:se:ltu:diva-61288OAI: oai:DiVA.org:ltu-61288DiVA: diva2:1060779
Conference
14th Annual IEEE Consumer Communications & Networking Conference, Las Vegas, 8-11 Jan 2017
Available from: 2016-12-29 Created: 2016-12-29 Last updated: 2017-01-10Bibliographically approved

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