Anomaly Detection and Multi-Output Classification of IoT Attacks
Author:
Affiliation:
1. PES University,Bengaluru,India
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10133935/10133936/10134468.pdf?arnumber=10134468
Reference23 articles.
1. Botnet Detection in the Internet of Things using Deep Learning Approaches
2. A Two-Level Flow-Based Anomalous Activity Detection System for IoT Networks
3. A multi-output descriptive neural network for estimation of scour geometry downstream from hydraulic structures
4. Detection and Blockchain-Based Collaborative Mitigation of Internet of Things Botnets
5. Hybrid Deep Learning for Botnet Attack Detection in the Internet-of-Things Networks
Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Systematic Literature Review of IoT Botnet DDOS Attacks and Evaluation of Detection Techniques;Sensors;2024-06-01
2. SkipGateNet: A Lightweight CNN-LSTM Hybrid Model With Learnable Skip Connections for Efficient Botnet Attack Detection in IoT;IEEE Access;2024
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