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Titlebook: Computer Security – ESORICS 2016; 21st European Sympos Ioannis Askoxylakis,Sotiris Ioannidis,Catherine Me Conference proceedings 2016 Sprin

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樓主: ISH
31#
發(fā)表于 2025-3-26 21:06:45 | 只看該作者
Toward an Efficient Website Fingerprinting Defensen realistic evaluation conditions. In a closed-world setting, this defense reduces the accuracy of the state-of-the-art attack from 91?% to 20?%, while introducing zero latency overhead and less than 60?% bandwidth overhead. In an open-world, the attack precision is just 1?% and drops further as the number of sites grows.
32#
發(fā)表于 2025-3-27 03:22:28 | 只看該作者
An Efficient Non-interactive Multi-client Searchable Encryption with Support for Boolean Queriesby employing attribute-based encryption technique, our protocol also realizes the fine-grained access control on the stored data. To be compatible with our RSA-based approach, we also present a deterministic and memory-efficient ‘keyword to prime’ hash function, which may be of independent interest.
33#
發(fā)表于 2025-3-27 05:58:52 | 只看該作者
34#
發(fā)表于 2025-3-27 10:25:19 | 只看該作者
35#
發(fā)表于 2025-3-27 14:59:37 | 只看該作者
Conference proceedings 2016he papers cover a wide range of topics in security and privacy, including data protection: systems security, network security, access control, authentication, and security in such emerging areas as cloud computing, cyber-physical systems, and the Internet of Things..
36#
發(fā)表于 2025-3-27 19:42:42 | 只看該作者
37#
發(fā)表于 2025-3-27 23:13:59 | 只看該作者
38#
發(fā)表于 2025-3-28 05:36:59 | 只看該作者
Conference proceedings 20162016, held in Heraklion, Greece, in September 2016...The 60 revised full papers presented were carefully reviewed and selected from 285 submissions. The papers cover a wide range of topics in security and privacy, including data protection: systems security, network security, access control, authent
39#
發(fā)表于 2025-3-28 08:19:05 | 只看該作者
40#
發(fā)表于 2025-3-28 12:10:07 | 只看該作者
Mobile Application Impersonation Detection Using Dynamic User Interface Extractionsuch as code obfuscation. We analyzed over 150,000 mobile apps and detected over 40,000 cases of impersonation. Our work demonstrates that impersonation detection through user interface extraction is effective and practical at large scale.
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