A Transfer Double Deep Q Network Based DDoS Detection Method for Internet of Vehicles
Author:
Affiliation:
1. College of Information Science and Technology, Donghua University, Shanghai, China
2. Department of Computer Science and Engineering, Tongji University, Shanghai, China
Funder
National Natural Science Foundation of China
Shanghai Science and Technology Innovation Action Plan Project
Open Foundation of the Key Laboratory of the Ministry of Education for Embedded System and Service Computing
Tongji University
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Electrical and Electronic Engineering,Computer Networks and Communications,Aerospace Engineering,Automotive Engineering
Link
http://xplorestaging.ieee.org/ielx7/25/10104191/10005139.pdf?arnumber=10005139
Reference42 articles.
1. Realtime DDoS Defense Using COTS SDN Switches via Adaptive Correlation Analysis
2. A New Approach to Linear Filtering and Prediction Problems
3. Statistical Application Fingerprinting for DDoS Attack Mitigation
4. Traffic matrix tracking using Kalman filters
5. Self-Supervised Anomaly Detection for In-Vehicle Network Using Noised Pseudo Normal Data
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