Laser Journal, Volume. 45, Issue 1, 179(2024)
Automatic identification method of abnormal traffic in elastic optical network based on isolated forest algorithm
[11] [11] Ahn D, Kim S, Kim S, et al. Wireless power transfer receiver with adjustable coil output voltage for multiple receivers application[J]. IEEE Transactions on Industrial Electronics,2019, 66(5):4003-4012.
[12] [12] Pandiyan V, Prost J, Vorlaufer G, et al. Identification of abnormal tribological regimes using a microphone and semisupervised machine-learning algorithm[J]. 2022,4:108-117.
[13] [13] Cheng J, Ma F, Envelope J W, et al. Early Identification of Abnormal Deviations in Nonstationary Processes by Removing Non- Stationarity[J]. Computer Aided Chemical Engineering, 2022, 49:1393-1398.
[14] [14] Wei J, Ma Q, Wang W, et al. Abnormal area identification of corn ear based on semi-supervised learning[J]. IET image processing, 2022(9):16.
[15] [15] Jing X Y, Yan Z, Pedrycz W. Security data collection and data analytics in the Internet: a survey[J]. IEEE Communications Surveys and Tutorials, 2019, 21(1): 586-618.
Get Citation
Copy Citation Text
LI Cheng, HE Sunqin, WEI Xing, ZHANG Guohua. Automatic identification method of abnormal traffic in elastic optical network based on isolated forest algorithm[J]. Laser Journal, 2024, 45(1): 179
Category:
Received: Apr. 21, 2023
Accepted: --
Published Online: Aug. 6, 2024
The Author Email: Cheng LI (dingdoudou201310@163.com)