%0 Journal Article %1 journals/eswa/WangLYLLM24 %A Wang, Zhendong %A Li, Jingfei %A Yang, Shuxin %A Luo, Xiao %A Li, Dahai %A Mahmoodi, Soroosh %D 2024 %J Expert Syst. Appl. %K dblp %N Part F %P 122045 %T A lightweight IoT intrusion detection model based on improved BERT-of-Theseus. %U http://dblp.uni-trier.de/db/journals/eswa/eswa238.html#WangLYLLM24 %V 238

@article{journals/eswa/WangLYLLM24, added-at = {2023-12-17T00:00:00.000+0100}, author = {Wang, Zhendong and Li, Jingfei and Yang, Shuxin and Luo, Xiao and Li, Dahai and Mahmoodi, Soroosh}, biburl = {https://www.bibsonomy.org/bibtex/26ae91b1047fd8b36e8a008d1b177ab8f/dblp}, ee = {https://doi.org/10.1016/j.eswa.2023.122045}, interhash = {06a6e340dd620fc692af8c69f493e9f2}, intrahash = {6ae91b1047fd8b36e8a008d1b177ab8f}, journal = {Expert Syst. Appl.}, keywords = {dblp}, month = {March}, number = {Part F}, pages = 122045, timestamp = {2024-04-08T10:06:10.000+0200}, title = {A lightweight IoT intrusion detection model based on improved BERT-of-Theseus.}, url = {http://dblp.uni-trier.de/db/journals/eswa/eswa238.html#WangLYLLM24}, volume = 238, year = 2024 }