oru.sePublications
Change search
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf
DDoS-Capable IoT Malwares: Comparative Analysis and Mirai Investigation
DTU Compute, Technical University of Denmark, Kongens Lyngby, Denmark.
Örebro University, School of Science and Technology. DTU Compute, Technical University of Denmark, Kongens Lyngby, Denmark. (Centre for Applied Autonomous Sensor Systems (AASS))ORCID iD: 0000-0001-9575-2990
Örebro University, School of Science and Technology. (Centre for Applied Autonomous Sensor Systems (AASS))ORCID iD: 0000-0001-9293-7711
Computer Science Department, Sapienza University of Rome, Rome, Italy.
2018 (English)In: Security and Communication Networks, ISSN 1939-0114, E-ISSN 1939-0122, article id 7178164Article in journal (Refereed) Published
Abstract [en]

The Internet of Things (IoT) revolution has not only carried the astonishing promise to interconnect a whole generation of traditionally “dumb” devices, but also brought to the Internet the menace of billions of badly protected and easily hackable objects. Not surprisingly, this sudden flooding of fresh and insecure devices fueled older threats, such as Distributed Denial of Service (DDoS) attacks. In this paper, we first propose an updated and comprehensive taxonomy of DDoS attacks, together with a number of examples on how this classification maps to real-world attacks. Then, we outline the current situation of DDoS-enabled malwares in IoT networks, highlighting how recent data support our concerns about the growing in popularity of these malwares. Finally, we give a detailed analysis of the general framework and the operating principles of Mirai, the most disruptive DDoS-capable IoT malware seen so far.

Place, publisher, year, edition, pages
Hindawi Publishing Corporation, 2018. article id 7178164
National Category
Computer Sciences
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:oru:diva-65665DOI: 10.1155/2018/7178164ISI: 000426639800001Scopus ID: 2-s2.0-85043390832OAI: oai:DiVA.org:oru-65665DiVA, id: diva2:1189674
Available from: 2018-03-12 Created: 2018-03-12 Last updated: 2018-03-27Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full textScopus

Authority records BETA

Dragoni, NicolaGiaretta, Alberto

Search in DiVA

By author/editor
Dragoni, NicolaGiaretta, Alberto
By organisation
School of Science and Technology
In the same journal
Security and Communication Networks
Computer Sciences

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 48 hits
CiteExportLink to record
Permanent link

Direct link
Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf