ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2504.21008
  4. Cited By
Research on CNN-BiLSTM Network Traffic Anomaly Detection Model Based on MindSpore

Research on CNN-BiLSTM Network Traffic Anomaly Detection Model Based on MindSpore

14 April 2025
Qiuyan Xiang
Shuang Wu
Dongze Wu
Yuxin Liu
Zhenkai Qin
ArXiv (abs)PDFHTML

Papers citing "Research on CNN-BiLSTM Network Traffic Anomaly Detection Model Based on MindSpore"

4 / 4 papers shown
Title
Enhanced Anomaly Detection in IoMT Networks using Ensemble AI Models on the CICIoMT2024 Dataset
Enhanced Anomaly Detection in IoMT Networks using Ensemble AI Models on the CICIoMT2024 Dataset
Prathamesh Chandekar
Mansi Mehta
Swet Chandan
82
2
0
17 Feb 2025
A Transfer Learning Framework for Anomaly Detection in Multivariate IoT Traffic Data
Mahshid Rezakhani
Tolunay Seyfi
Fatemeh Afghah
MU
90
3
0
28 Jan 2025
Semi-Supervised Learning for Anomaly Traffic Detection via Bidirectional
  Normalizing Flows
Semi-Supervised Learning for Anomaly Traffic Detection via Bidirectional Normalizing Flows
Zhan Dang
Yu Zheng
Xinglin Lin
Chunlei Peng
Qiuyu Chen
Xinbo Gao
AI4TS
74
6
0
13 Mar 2024
Sequence Aggregation Rules for Anomaly Detection in Computer Network
  Traffic
Sequence Aggregation Rules for Anomaly Detection in Computer Network Traffic
Benjamin J. Radford
B. Richardson
Shawn E. Davis
AI4TS
38
57
0
09 May 2018
1