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Titlebook: Algorithms and Architectures for Parallel Processing; 18th International C Jaideep Vaidya,Jin Li Conference proceedings 2018 Springer Natur

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31#
發(fā)表于 2025-3-27 00:27:08 | 只看該作者
https://doi.org/10.1007/978-3-642-92762-1of it has excellent efficiency and complete functionality, it always suffers from information leakages. Some recent attacks point out that forward privacy is the vital security goal. However, there are only several schemes achieving this security. In this paper, we propose a new flexible forward sec
32#
發(fā)表于 2025-3-27 04:07:12 | 只看該作者
,Die Durchführung der Unterrichtsreihe,the malicious modification. However, existing works consider less about the security of tamper-proofing itself. When launching MATE (Man-At-The-End) attacks based on reverse engineering to the software equipped with embedded tamper-proofing, adversary is enabled to obtain all privileges to the execu
33#
發(fā)表于 2025-3-27 07:59:48 | 只看該作者
34#
發(fā)表于 2025-3-27 10:04:50 | 只看該作者
35#
發(fā)表于 2025-3-27 16:16:55 | 只看該作者
36#
發(fā)表于 2025-3-27 20:42:04 | 只看該作者
37#
發(fā)表于 2025-3-28 01:57:09 | 只看該作者
https://doi.org/10.1007/978-3-662-29165-8serious threat to the user’s mobile phones. Malware detection has become a public concern that requires urgent resolution. In this paper, we propose MulAV, a multilevel and explainable detection method with data fusion. Our method obtain information from multiple levels (the APP source code, network
38#
發(fā)表于 2025-3-28 04:02:41 | 只看該作者
39#
發(fā)表于 2025-3-28 09:10:03 | 只看該作者
https://doi.org/10.1007/978-3-663-09603-0he authentication server be easily replaced if it is compromised while the latter allows the credentials of the same user to appear independent in cross-domain applications. However, the invariable biometrics features in the face authentication poses a great challenge to accomplishing these two prop
40#
發(fā)表于 2025-3-28 10:25:26 | 只看該作者
Der Geburteneinbruch in Ostdeutschland,he users’ location privacy in the meantime. Syntactic-based privacy models have been widely used in most of the existing location privacy protection schemes. Whereas, they are suffering from background knowledge attacks, neither do they take the continuous time stamps into account. Therefore we prop
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