Titlebook: Computer Security – ESORICS 2023; 28th European Sympos Gene Tsudik,Mauro Conti,Georgios Smaragdakis Conference proceedings 2024 The Editor(

foresight

书目名称Computer Security – ESORICS 2023影响因子(影响力)




书目名称Computer Security – ESORICS 2023影响因子(影响力)学科排名




书目名称Computer Security – ESORICS 2023网络公开度




书目名称Computer Security – ESORICS 2023网络公开度学科排名




书目名称Computer Security – ESORICS 2023被引频次




书目名称Computer Security – ESORICS 2023被引频次学科排名




书目名称Computer Security – ESORICS 2023年度引用




书目名称Computer Security – ESORICS 2023年度引用学科排名




书目名称Computer Security – ESORICS 2023读者反馈




书目名称Computer Security – ESORICS 2023读者反馈学科排名

团结

失败主义者

Reinforcement Learning Approach to Generate Zero-Dynamics Attacks on Control Systems Without State Se space. We develop several attackers and detectors iteratively until the attacker and detectors no longer improve. In addition, we also show that the reinforcement learning based attacker successfully executes an attack in the same manner as the theoretical attacker described in previous literature.

亲密

DScope: To Reliably and Securely Acquire Live Data from Kernel-Compromised ARM Devicesdevelopment board and have also tested . ’s reliability against various forms of denial of service attacks. Our experiments show that a user can dynamically import data acquisition routines to the device to extract kernel objects and runtime stacks from an attack scene or a kernel crashing site.

尾巴

Frenetic

Frenetic

mighty

我要威胁

PassGPT: Password Modeling and (Guided) Generation with Large Language Modelsre we leverage PassGPT sampling procedure to generate passwords matching arbitrary constraints, a feat lacking in current GAN-based strategies. Lastly, we conduct an in-depth analysis of the entropy and probability distribution that PassGPT defines over passwords and discuss their use in enhancing existing password strength estimators.

GLEAN