Publication Details

HADES-IoT: A practical host-based anomaly detection system for IoT devices (Extended Version)

BREITENBACHER Dominik, HOMOLIAK Ivan, AUNG Yan Lin, ELOVICI Yuval and TIPPENHAUER Nils Ole. HADES-IoT: A practical host-based anomaly detection system for IoT devices (Extended Version). IEEE Internet of Things Journal, vol. 9, no. 12, 2022, pp. 9640-9658. ISSN 2327-4662. Available from: https://arxiv.org/abs/1905.01027

Czech title

HADES-IoT: Praktický systém detekce anomálií pro zařízení IoT (rozšířená verze)

Type

journal article

Language

english

Authors

Breitenbacher Dominik, Ing. (DITS FIT BUT)
Homoliak Ivan, Ing., Ph.D. (DITS FIT BUT)
Aung Yan Lin (SUTD)
Elovici Yuval (BGU)
Tippenhauer Nils Ole (CISPA)

URL

https://arxiv.org/abs/1905.01027

Keywords

Security and privacy,
intrusion detection,
system call interception,
loadable kernel module,
host-based anomaly detection,
tamper-proof protection

Published

2022

Pages

9640-9658

Journal

IEEE Internet of Things Journal, vol. 9, no. 12, ISSN 2327-4662

Publisher

Institute of Electrical and Electronics Engineers

DOI

10.1109/JIOT.2021.3135789

UT WoS

000808096100047

EID Scopus

2-s2.0-85121823034

BibTeX

@ARTICLE{FITPUB12458,
   author = "Dominik Breitenbacher and Ivan Homoliak and Lin Yan Aung and Yuval Elovici and Ole Nils Tippenhauer",
   title = "HADES-IoT: A practical host-based anomaly detection system for IoT devices (Extended Version)",
   pages = "9640--9658",
   journal = "IEEE Internet of Things Journal",
   volume = 9,
   number = 12,
   year = 2022,
   ISSN = "2327-4662",
   doi = "10.1109/JIOT.2021.3135789",
   language = "english",
   url = "https://www.fit.vut.cz/research/publication/12458"
}