ALightweight Anomaly Detection Model usingSVMfor WSNs in IoT through a Hybrid Feature Selection Algorithm based onGAand GWO.

MLA

Davahli, Azam, et al. “ALightweight Anomaly Detection Model UsingSVMfor WSNs in IoT through a Hybrid Feature Selection Algorithm Based OnGAand GWO.” Journal of Computing & Security, vol. 7, no. 1, Jan. 2020, pp. 63–79. EBSCOhost, https://doi.org/10.22108/jcs.2020.119468.1033.

APA

Davahli, A., Shamsi, M., & Abaei, G. (2020). ALightweight Anomaly Detection Model usingSVMfor WSNs in IoT through a Hybrid Feature Selection Algorithm based onGAand GWO. Journal of Computing & Security, 7(1), 63–79. https://doi.org/10.22108/jcs.2020.119468.1033

Chicago

Davahli, Azam, Mahboubeh Shamsi, and Golnoush Abaei. 2020. “ALightweight Anomaly Detection Model UsingSVMfor WSNs in IoT through a Hybrid Feature Selection Algorithm Based OnGAand GWO.” Journal of Computing & Security 7 (1): 63–79. doi:10.22108/jcs.2020.119468.1033.