SH-IDS: a resilient self-healing intrusion detection framework against DoS and DDoS attacks in IoT systems.

Fatima M, Rehman O, Jhanjhi NZ, Ali S

DOI: 10.1038/s41598-026-48932-2
Published: 2026 Apr 28
Container: Scientific reports
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1038/s41598-026-48932-2,
  title = {SH-IDS: a resilient self-healing intrusion detection framework against DoS and DDoS attacks in IoT systems.},
  author = {Fatima M and Rehman O and Jhanjhi NZ and Ali S},
  year = {2026},
  journal = {Scientific reports},
  doi = {10.1038/s41598-026-48932-2},
  url = {https://doi.org/10.1038/s41598-026-48932-2}
}

RIS

TY  - JOUR
TI  - SH-IDS: a resilient self-healing intrusion detection framework against DoS and DDoS attacks in IoT systems.
AU  - Fatima M
AU  - Rehman O
AU  - Jhanjhi NZ
AU  - Ali S
PY  - 2026
JO  - Scientific reports
DO  - 10.1038/s41598-026-48932-2
UR  - https://doi.org/10.1038/s41598-026-48932-2
ER  -

APA

M, F., O, R., NZ, J., & S, A. (2026). SH-IDS: a resilient self-healing intrusion detection framework against DoS and DDoS attacks in IoT systems.. Scientific reports. https://doi.org/10.1038/s41598-026-48932-2

Source records

pubmed · retrieved 2026-11-10T11:42:25.657Z