Endre søk
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
SARDOS: Self-Adaptive Reaction against Denial of Service in the Internet of Things
RISE - Research Institutes of Sweden, ICT, SICS. (Security Lab)ORCID-id: 0000-0001-8842-9810
RISE - Research Institutes of Sweden, ICT, SICS. (Security Lab)ORCID-id: 0000-0002-9437-5764
KTH Royal Institute of Technology, Sweden.
2018 (engelsk)Konferansepaper, Publicerat paper (Fagfellevurdert)
Abstract [en]

Denial of Service (DoS) is a common and severe security issue in computer networks. Typical DoS attacks overload servers with bogus requests, induce them to worthlessly commit resources, and even make them unable to serve legitimate clients. This is especially relevant in Internet of Things scenarios, where servers are particularly exposed and often equipped with limited resources. Although most countermeasures focus on detection and mitigation, they do not react to dynamically adapt victims' behavior, while at the same time preserving service availability. This paper presents SARDOS, a reactive security service that leverages detection mechanisms from different communication layers, and adaptively changes the operative behavior of victim servers while preserving service availability. We experimentally evaluated SARDOS with a prototype implementation running on an underclocked Raspberry Pi server. Our results show that, when running SARDOS, a server under attack displays considerably lower memory and CPU usage, while still ensuring (best-effort) fulfillment of legitimate requests.

sted, utgiver, år, opplag, sider
Valencia (Spain), 2018. s. 54-61
Emneord [en]
Servers, Security, Protocols, Internet of Things, Reliability, Standards
HSV kategori
Identifikatorer
URN: urn:nbn:se:ri:diva-36553DOI: 10.1109/IoTSMS.2018.8554819Scopus ID: 2-s2.0-85059987216ISBN: 9781538695852 (tryckt)OAI: oai:DiVA.org:ri-36553DiVA, id: diva2:1268107
Konferanse
IEEE 2018 Fifth International Conference on Internet of Things: Systems, Management and Security (IoTSMS 2018)
Tilgjengelig fra: 2018-12-04 Laget: 2018-12-04 Sist oppdatert: 2019-05-10bibliografisk kontrollert

Open Access i DiVA

fulltext(535 kB)39 nedlastinger
Filinformasjon
Fil FULLTEXT01.pdfFilstørrelse 535 kBChecksum SHA-512
2a15f336fce4b4a682fa1157e06a970cf005f63e72fe66d83d13b8181c9b6dff4ec967545f0bde695721688db6413ae4ca6d4aba8ef1ed8947d6604c9a62144b
Type fulltextMimetype application/pdf

Andre lenker

Forlagets fulltekstScopushttps://ieeexplore.ieee.org/document/8554819

Personposter BETA

Tiloca, MarcoHöglund, Rikard

Søk i DiVA

Av forfatter/redaktør
Tiloca, MarcoHöglund, Rikard
Av organisasjonen

Søk utenfor DiVA

GoogleGoogle Scholar
Totalt: 39 nedlastinger
Antall nedlastinger er summen av alle nedlastinger av alle fulltekster. Det kan for eksempel være tidligere versjoner som er ikke lenger tilgjengelige

doi
isbn
urn-nbn

Altmetric

doi
isbn
urn-nbn
Totalt: 49 treff
RefereraExporteraLink to record
Permanent link

Direct link
Referera
Referensformat
  • apa
  • harvard1
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Annet format
Fler format
Språk
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Annet språk
Fler språk
Utmatningsformat
  • html
  • text
  • asciidoc
  • rtf
v. 2.35.8