Titlebook: Network Simulation and Evaluation; Second International Zhaoquan Gu,Wanlei Zhou,Yan Jia Conference proceedings 2024 The Editor(s) (if appli

Oration

Kun Xiao,Yintao Wang,Qi Wang,Cen Chen,Zhe Li,Haiyan Zhiane. In Section 3.2.4, the physical variables of gravitational lensing are converted into dimensionless form. These dimensionless variables are then used throughout the rest of the book. Section 3.2.5 introduces the magnification of light sources and discusses magnification as it relates to flux con

考古学

奖牌

Zhihan Yang,Hong Chen,Zhijie Qiuthe non-degeneracy criterion which the Morse function must satisfy is merely the condition that, when the first order partials all vanish, the second order partials will not lie in a certain proper algebraic subset of the jet space, referred to as the “bad” set, and defined by the vanishing of a fin

纹章

Uncovering Security Entity Relations with Cyber Threat Knowledge Graph Embeddingegy in pinpointing missing threat patterns. We aggregate data from separate sources into a threat knowledge graph and develop a novel knowledge representation learning method called 4CKGE (CAPEC-CWE-CVE-CPE Knowledge Graph Embedding).We extract and utilize more in-depth structural and textual inform

终端

废除

A Survey of Cyber Range: Current Status, Analysis, and Future Trendses. In this paper, we collect, consolidate, and summarize existing cyber ranges, analyze their core technologies, key functionalities, and classical applications. Furthermore, we provide an overview of the current state of cyber range technology and shed light on its shortcomings and future developm

原始

经典

A Design of Code Protection Scheme Based on the Combination of OPTEE and Encrypted File System model protection within the “bring code to data” paradigm. The proposed framework intends the preservation of local data while the model code is encrypted and remotely disseminated to the data side for secure execution. Additionally, the framework employs the eCryptfs encrypted file system to facil

Aboveboard

A Deep Detection Method of Abnormal State of Industrial Control System Based on Hierarchical Clustertively in the anomaly detection stage, and compares its results with conventional anomaly detection. The results show that the deep learning-based anomaly detection method has high accuracy in detecting flooding attacks.

雪上轻舟飞过

Zheyu Zhang,Xiaofei Zhang,Rui Wang,Yu Cao,Mengdi Jia,Jun Sun