可扩展高效的高维计算网络入侵检测（英文版）

英文标题：Late Breaking Results: Scalable and Efficient Hyperdimensional Computing for Network Intrusion Detection中文摘要：本文提出了一种创新的超维计算学习框架 ——CyberHD，通过重新生成维度来捕捉网络威胁的复杂模式，达到极低维度，并且具有很高的硬件错误容错性。英文摘要：Cybersecurity has emerged as a critical challenge for the industry. With thelarge complexity of the security landscape, sophisticated and costly deeplearning models often fail to provide timely detection of cyber threats on edgedevices. Brain-inspired hyperdimensional computing (HDC) has been introduced asa