Stop the war!

Остановите войну!

for scientists:

default search action

combined dblp search
author search
venue search
publication search

ask others

"DESC-IDS: Towards an efficient real-time automotive intrusion detection ..."

Pengzhou Cheng, Mu Han, Gongshen Liu (2023)

> Home

Details and statistics

DOI: 10.1016/J.FUTURE.2022.10.020

access: closed

type: Journal Article

metadata version: 2023-01-15

- view
  - electronic edition via DOI
  - unpaywalled version
  authority control:
- export record
  dblp key:
  - journals/fgcs/ChengHL23
- ask others
- share record
  persistent URL:
  - https://dblp.org/rec/journals/fgcs/ChengHL23
Pengzhou Cheng, Mu Han, Gongshen Liu:
DESC-IDS: Towards an efficient real-time automotive intrusion detection system based on deep evolving stream clustering. Future Gener. Comput. Syst. 140: 266-281 (2023)

a service of

manage site settings

To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.