Cite
A novel approach based on adaptive online analysis of encrypted traffic for identifying Malware in IIoT.
MLA
Niu, Zequn, et al. “A Novel Approach Based on Adaptive Online Analysis of Encrypted Traffic for Identifying Malware in IIoT.” Information Sciences, vol. 601, July 2022, pp. 162–74. EBSCOhost, https://doi.org/10.1016/j.ins.2022.04.018.
APA
Niu, Z., Xue, J., Qu, D., Wang, Y., Zheng, J., & Zhu, H. (2022). A novel approach based on adaptive online analysis of encrypted traffic for identifying Malware in IIoT. Information Sciences, 601, 162–174. https://doi.org/10.1016/j.ins.2022.04.018
Chicago
Niu, Zequn, Jingfeng Xue, Dacheng Qu, Yong Wang, Jun Zheng, and Hongfei Zhu. 2022. “A Novel Approach Based on Adaptive Online Analysis of Encrypted Traffic for Identifying Malware in IIoT.” Information Sciences 601 (July): 162–74. doi:10.1016/j.ins.2022.04.018.