Ivycide: Smart Intrusion Detection System Against E-IoT Driver Threats
Author:
Affiliation:
1. Cyber-Physical Systems Security Lab, Florida International University, Miami, FL, USA
2. Advanced Wireless and Security Lab, Florida International University, Miami, FL, USA
Funder
U.S. National Science Foundation
Microsoft Research Grant
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Computer Networks and Communications,Computer Science Applications,Hardware and Architecture,Information Systems,Signal Processing
Link
https://ieeexplore.ieee.org/ielam/6488907/10119650/9849838-aam.pdf
Cited by 3 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. Novel Intrusion Detection Strategies With Optimal Hyper Parameters for Industrial Internet of Things Based on Stochastic Games and Double Deep Q-Networks;IEEE Internet of Things Journal;2024-09-01
2. Synchronizing DDoS detection and mitigation based graph learning with programmable data plane, SDN;Future Generation Computer Systems;2024-05
3. Guest Editorial Special Issue on Intrusion Detection for the Internet of Things;IEEE Internet of Things Journal;2023-05-15
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