2 papers
cs.CR2025
Securing Operating Systems Through Fine-grained Kernel Access Limitation for IoT Systems
Dongyang Zhan, Zhaofeng Yu, Xiangzhan Yu +3
With the development of Internet of Things (IoT), it is gaining a lot of attention. It is important to secure the embedded systems with low overhead. The Linux Seccomp is widely us…
cs.CR2025
An Adversarial Robust Behavior Sequence Anomaly Detection Approach Based on Critical Behavior Unit Learning
Dongyang Zhan, Kai Tan, Lin Ye +3
Sequential deep learning models (e.g., RNN and LSTM) can learn the sequence features of software behaviors, such as API or syscall sequences. However, recent studies have shown tha…