21 citations · 30 across the 9 of their papers we have counts for
10 papers
Misleading the Planner through Deceptive Resumes: Registration-Time Injection in Centralized Multi-Agent Systems
Zhaofeng Yu, Haokai Ma, Dongyang Zhan +3
A centralized LLM-based multi-agent system (MAS) extends its functionality by registering new worker agents, whose descriptions are read by the planner to decide how a task is deco…
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…
Shrinking the Kernel Attack Surface Through Static and Dynamic Syscall Limitation
Dongyang Zhan, Zhaofeng Yu, Xiangzhan Yu +2
Linux Seccomp is widely used by the program developers and the system maintainers to secure the operating systems, which can block unused syscalls for different applications and co…
A High-performance Real-time Container File Monitoring Approach Based on Virtual Machine Introspection
Kai Tan, Dongyang Zhan, Lin Ye +3
As cloud computing continues to advance and become an integral part of modern IT infrastructure, container security has emerged as a critical factor in ensuring the smooth operatio…
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…
A Practical Adversarial Attack against Sequence-based Deep Learning Malware Classifiers
Kai Tan, Dongyang Zhan, Lin Ye +2
Sequence-based deep learning models (e.g., RNNs), can detect malware by analyzing its behavioral sequences. Meanwhile, these models are susceptible to adversarial attacks. Attacker…
Anomaly Detection in Industrial Control Systems Based on Cross-Domain Representation Learning
Dongyang Zhan, Wenqi Zhang, Lin Ye +3
Industrial control systems (ICSs) are widely used in industry, and their security and stability are very important. Once the ICS is attacked, it may cause serious damage. Therefore…
Exploring and Exploiting the Resource Isolation Attack Surface of WebAssembly Containers
Zhaofeng Yu, Dongyang Zhan, Lin Ye +3
Recently, the WebAssembly (or Wasm) technology has been rapidly evolving, with many runtimes actively under development, providing cross-platform secure sandboxes for Wasm modules…
A Low-overhead Kernel Object Monitoring Approach for Virtual Machine Introspection
Dongyang Zhan, Huhua Li, Lin Ye +3
Monitoring kernel object modification of virtual machine is widely used by virtual-machine-introspection-based security monitors to protect virtual machines in cloud computing, suc…
A high-performance virtual machine filesystem monitor in cloud-assisted cognitive IoT
Dongyang Zhan, Lin Ye, Hongli Zhang +5
Cloud-assisted Cognitive Internet of Things has powerful data analytics abilities based on the computing and data storage capabilities of cloud virtual machines, which makes protec…