论文标题
使用侧渠道信息和人工智能进行恶意软件检测
Using Side Channel Information and Artificial Intelligence for Malware Detection
论文作者
论文摘要
对于社会而言，网络安全仍然是一个困难的问题，尤其是随着网络系统的数量的增长。保护这些系统的技术从基于规则的到基于人工智能的入侵检测系统和反病毒工具。这些系统依靠网络数据包中包含的信息并下载可执行文件以函数。已经显示出从硬件中泄漏的侧通道信息可以在加密键等系统中揭示秘密信息。这项工作表明，侧渠道信息可用于检测在计算平台上运行的恶意软件，而无需访问涉及的代码。
Cybersecurity continues to be a difficult issue for society especially as the number of networked systems grows. Techniques to protect these systems range from rules-based to artificial intelligence-based intrusion detection systems and anti-virus tools. These systems rely upon the information contained in the network packets and download executables to function. Side channel information leaked from hardware has been shown to reveal secret information in systems such as encryption keys. This work demonstrates that side channel information can be used to detect malware running on a computing platform without access to the code involved.
