A new efficient approach for detecting single and multiple black hole attacks
Crossref DOI link: https://doi.org/10.1007/s11227-020-03596-1
Published Online: 2021-01-08
Published Print: 2021-07
Update policy: https://doi.org/10.1007/springer_crossmark_policy
Khalladi, Rachid http://orcid.org/0000-0002-6150-3141
Rebbah, Mohammed
Smail, Omar
Text and Data Mining valid from 2021-01-08
Version of Record valid from 2021-01-08
Article History
Accepted: 23 December 2020
First Online: 8 January 2021