Autonomous driving paper index
Learning-Based Intrusion Detection Systems: A Comprehensive Overview
One-line summary
This review is a synthesis of the studies on the subject Intrusion Detection Systems: Learning-Based Approaches to tackle the issues of making detection more accurate, adaptive, and robust to the changing cyber threat.
Engineering notes
Key topics: autonomous driving. See the paper for implementation details and experimental results.
Chinese explanation / 中文解读
中文解读待补充：本站会优先为端到端自动驾驶、BEV感知、3D目标检测、轨迹预测、路径规划、LiDAR感知等高价值论文补充中文说明。
Original abstract
This review is a synthesis of the studies on the subject Intrusion Detection Systems: Learning-Based Approaches to tackle the issues of making detection more accurate, adaptive, and robust to the changing cyber threat. The objective of the review was to taxonomize learning-based IDS in algorithm and domain, compare the effect of reinforcement and deep learning, measure the performance of models, and analyze challenges in adversarial robustness and resource constraints in IoT and cloud environments.
Links and sources
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