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Titlebook: Cyber Security; 17th China Annual Co Wei Lu,Qiaoyan Wen,Yu Zhou Conference proceedings‘‘‘‘‘‘‘‘ 2020 The Editor(s) (if applicable) and The A

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樓主: Inoculare
21#
發(fā)表于 2025-3-25 03:36:20 | 只看該作者
A Secure Ranked Search Model Over Encrypted Data in Hybrid Cloud Computingng the information before uploading them to the cloud is one of ultimate solutions. Secure searchable encryption schemes and secure ranking schemes have been proposed to help retrieving the most relevant documents over the cloud. However the present methods are encumbered by the huge computing and c
22#
發(fā)表于 2025-3-25 09:27:05 | 只看該作者
23#
發(fā)表于 2025-3-25 12:25:44 | 只看該作者
MinerGate: A Novel Generic and Accurate Defense Solution Against Web Based Cryptocurrency Mining Att Linux, Android, and iOS) and devices (e.g., PC, smartphones, tablets, and even critical infrastructures) are widely impacted. Although a variety of detection approaches were recently proposed, it is challenging to apply these approaches to attack prevention directly..Instead, in this paper, we pres
24#
發(fā)表于 2025-3-25 16:50:54 | 只看該作者
25#
發(fā)表于 2025-3-25 20:09:24 | 只看該作者
Research Status and Prospect of Blockchain Technology in Agriculture Fieldcost and imbalance between supply and demand in agriculture have greatly hindered the development of agriculture. The various properties of blockchain technology can make up for the lack of agricultural mechanism, and the fusion of the two is a hot issue in the application of blockchain. Blockchain
26#
發(fā)表于 2025-3-26 02:43:34 | 只看該作者
Practical DDoS Attack Group Discovery and Tracking with Complex Graph-Based Networkting larger. Many security organizations began to use data-driven approaches to investigate gangs and groups beneath DDoS attack behaviors, trying to unveil the facts and intentions of DDoS gangs. In this paper, DDoSAGD - a DDoS Attack Group Discovery framework is proposed to help gang recognition a
27#
發(fā)表于 2025-3-26 05:40:08 | 只看該作者
28#
發(fā)表于 2025-3-26 10:48:16 | 只看該作者
29#
發(fā)表于 2025-3-26 15:41:10 | 只看該作者
DeepHTTP: Anomalous HTTP Traffic Detection and Malicious Pattern Mining Based on Deep Learningbsite status and user request information, many studies use HTTP protocol traffic for web application attack detection. In this work, we propose DeepHTTP, an HTTP traffic detection framework based on deep learning. Unlike previous studies, this framework not only performs malicious traffic detection
30#
發(fā)表于 2025-3-26 18:41:39 | 只看該作者
A Label Propagation Based User Locations Prediction Algorithm in Social Networkommunity detection. Label propagation is one of the main methods to realize the user location prediction. The traditional label propagation algorithm has the problems including “l(fā)ocation label countercurrent” and the update randomness of node location label, which seriously affects the accuracy of u
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