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

Indigence

MARF: A Memory-Aware CLFLUSH-Based Intra- and Inter-CPU Side-Channel Attackeal NUMA systems demonstrate that MARF can robustly be used to attack applications that use widely-used cryptographic and user-interface libraries. We also present potential countermeasures against MARF.

一再烦扰

Everlasting ROBOT: The Marvin Attacke differences. We publish a set of tools for testing libraries that perform RSA decryption against timing side-channel attacks, including one that can test arbitrary TLS servers with no need to write a test harnesses. Finally, we propose a set of workarounds that implementations can employ if they can’t avoid the use of RSA.

主动

0302-9743 ernet; privacy; and remote...Part III: Attacks; blockchain; and miscellaneous..Part IV: Machine learning; software and systems security... .978-3-031-51478-4978-3-031-51479-1Series ISSN 0302-9743 Series E-ISSN 1611-3349

肮脏

Lecture Notes in Computer Sciencehttp://image.papertrans.cn/c/image/233873.jpg

clarify

irritation

hermitage

dry-eye

柳树；枯黄

https://doi.org/10.1007/978-0-387-75472-7ttacks. Face-recognition systems in near-infrared (NIR ) are widely deployed for critical tasks (e.g., access control), and are hypothesized to be more secure due to the lower variability and dimensionality of NIR images compared to VIS ones. However, the actual robustness of NIR -based face recogni