派博傳思國(guó)際中心

標(biāo)題: Titlebook: Security and Privacy in Communication Networks; 19th EAI Internation Haixin Duan,Mourad Debbabi,Man Ho Allen Au Conference proceedings 2025 [打印本頁(yè)]

作者: 實(shí)體    時(shí)間: 2025-3-21 17:38
書目名稱Security and Privacy in Communication Networks影響因子(影響力)




書目名稱Security and Privacy in Communication Networks影響因子(影響力)學(xué)科排名




書目名稱Security and Privacy in Communication Networks網(wǎng)絡(luò)公開(kāi)度




書目名稱Security and Privacy in Communication Networks網(wǎng)絡(luò)公開(kāi)度學(xué)科排名




書目名稱Security and Privacy in Communication Networks被引頻次




書目名稱Security and Privacy in Communication Networks被引頻次學(xué)科排名




書目名稱Security and Privacy in Communication Networks年度引用




書目名稱Security and Privacy in Communication Networks年度引用學(xué)科排名




書目名稱Security and Privacy in Communication Networks讀者反饋




書目名稱Security and Privacy in Communication Networks讀者反饋學(xué)科排名





作者: Morsel    時(shí)間: 2025-3-21 22:37
CUFT: Cuflow-Based Approach with?Multi-headed Attention Mechanism for?Encrypted Traffic Classificatig-distance capturing capability of the multi-head attention mechanism to obtain the contextual relationships among the relevant packets in the cuflow and the inline relationships among the packet payloads. To verify the effectiveness and generality of CUFT across various classification tasks, we con
作者: 同義聯(lián)想法    時(shí)間: 2025-3-22 02:56

作者: 低三下四之人    時(shí)間: 2025-3-22 05:03
DNN Architecture Attacks via?Network and?Power Side Channelsntly. Through evaluations, we show that we can achieve more than 90% accuracy for model hyper-parameters reconstruction. We also demonstrate that our proposed attack is robust against background noise by evaluating with memory and traffic intensive co-located applications.
作者: GEM    時(shí)間: 2025-3-22 10:12

作者: laceration    時(shí)間: 2025-3-22 14:11
Model Inversion Attacks on?Homogeneous and?Heterogeneous Graph Neural Networksescent-based optimization methods that aim to maximize the cross-entropy loss on the target GNN and the . and .-order proximities on the reconstructed graph. Notably, to the best of our knowledge, HeteGMI is the first attempt to perform model inversion attacks on HeteGNNs. Extensive experiments on m
作者: Pituitary-Gland    時(shí)間: 2025-3-22 18:33

作者: 到婚嫁年齡    時(shí)間: 2025-3-23 00:07
Discovering and Understanding the?Security Flaws of Authentication and Authorization in IoT Cloud AP types of security flaws. Based on proof-of-concept attacks, we demonstrate that these flaws can cause severe security risks, including sensitive information leakage, malicious data injection, and even unauthorized device control.
作者: ureter    時(shí)間: 2025-3-23 04:07
Optimizing Lightweight Intermittent Message Authentication for?Programmable Logic Controllerhen the signer is suspended for a long time. Additionally, the overhead fluctuates greatly with the growth of interruption time. In this paper, we first propose an optimized . tree to reduce the overhead and mitigate its growth fluctuation. In particular, we implement our optimized scheme on an Alle
作者: Cerebrovascular    時(shí)間: 2025-3-23 07:35
Demystifying Blockchain Scalability: Sibling Chains with?Minimal Interleavingsented by the . bits). To achieve parallel transactions, we design a inter-chain mechanism without other correlations (such as block ordering, inter-chain transactions, block updates, eventual atomicity decoupling, two-phase PoW puzzle solving, etc.), which makes . considerably simpler than current
作者: daredevil    時(shí)間: 2025-3-23 10:42

作者: 中和    時(shí)間: 2025-3-23 16:19

作者: BLANC    時(shí)間: 2025-3-23 18:07

作者: Malcontent    時(shí)間: 2025-3-23 22:54
Yue Huang,Yongyan Guo,Cheng Huangtwork, MetaGRU, with a meta-learning paradigm. The spatio-temporal attentive mechanism leverage an external memory layer to store processed user historical preference information, and use spatio-temporal attention to capture the different correlations between user current status with past check-in b
作者: Hippocampus    時(shí)間: 2025-3-24 04:38

作者: Restenosis    時(shí)間: 2025-3-24 07:22

作者: 比賽用背帶    時(shí)間: 2025-3-24 11:08
Zhuoting Wu,Zhiwei Guo,Jiuxiang You,Zhenguo Yang,Qing Li,Wenyin Liutwork, MetaGRU, with a meta-learning paradigm. The spatio-temporal attentive mechanism leverage an external memory layer to store processed user historical preference information, and use spatio-temporal attention to capture the different correlations between user current status with past check-in b
作者: 中世紀(jì)    時(shí)間: 2025-3-24 15:37

作者: 倒轉(zhuǎn)    時(shí)間: 2025-3-24 19:20
Yanru Xiao,Cong Wang,Xing Gaoient descent GCN is added to the model. We have conducted extensive experiments on node classification tasks of multiple datasets. The experiments show that the model has excellent performance, especially in the dataset with a higher average clustering coefficient, and can achieve higher prediction
作者: 提名    時(shí)間: 2025-3-25 02:06

作者: 噴出    時(shí)間: 2025-3-25 06:27

作者: 大喘氣    時(shí)間: 2025-3-25 09:24

作者: travail    時(shí)間: 2025-3-25 12:10
Jiaqi Yang,Jun Xian Chia,Xijie Ba,Jianying Zhou,Zheng Yang graph data construction method is proposed. (2) Propose to incorporate neural transformation learning into the architecture, improve data learning expression ability, and further improve the shortcomings of graph neural classification, enabling it to adapt to the spatiotemporal and multi-dimensiona
作者: incubus    時(shí)間: 2025-3-25 16:07
Hanzheng Lyu,Shaokang Xie,Jianyu Niu,Chen Fengls, berths, and waterways, and semantically models vessel behaviors. Effective identification of vessels is achieved based on various semantic information. Simultaneously, based on the berthing semantic relationship between vessels and berths, a reverse semantic knowledge graph of berths is construc
作者: Mendicant    時(shí)間: 2025-3-25 23:22
Jiangfeng Ma,Xuetao Zhang,Xiangxue Lils, berths, and waterways, and semantically models vessel behaviors. Effective identification of vessels is achieved based on various semantic information. Simultaneously, based on the berthing semantic relationship between vessels and berths, a reverse semantic knowledge graph of berths is construc
作者: airborne    時(shí)間: 2025-3-26 00:44

作者: 網(wǎng)絡(luò)添麻煩    時(shí)間: 2025-3-26 06:37

作者: 有斑點(diǎn)    時(shí)間: 2025-3-26 12:11
Security and Privacy in Communication Networks978-3-031-64948-6Series ISSN 1867-8211 Series E-ISSN 1867-822X
作者: 音樂(lè)等    時(shí)間: 2025-3-26 15:58

作者: 裝飾    時(shí)間: 2025-3-26 18:10
https://doi.org/10.1007/978-3-031-64948-6artificial intelligence; authentication; Blockchain; Cryptography; Cryptographic Protocols; Web and Mobil
作者: entice    時(shí)間: 2025-3-27 00:51

作者: Magnitude    時(shí)間: 2025-3-27 02:31
Xin Zong,Min Luo,Cong Peng,Debiao Hecenarios, it suffers heavy computational cost because it examines distances between each points multiple times, especially in traffic applications which usually require calculating road network shortest distance instead of Euclidean distance. Therefore, the performance of DBSCAN for real-time cluste
作者: 小卒    時(shí)間: 2025-3-27 05:21
Yue Huang,Yongyan Guo,Cheng Huangmon to see data collection with the unbalanced spatial distribution. For example, some cities may release check-ins for multiple years while others only release a few days of data. In this paper, we tackle the problem of successive POI recommendation for the cities with only a short period of data s
作者: 縮短    時(shí)間: 2025-3-27 11:18

作者: 侵略主義    時(shí)間: 2025-3-27 14:08

作者: 彎腰    時(shí)間: 2025-3-27 19:55

作者: Handedness    時(shí)間: 2025-3-27 22:35

作者: 天然熱噴泉    時(shí)間: 2025-3-28 04:44
Yanru Xiao,Cong Wang,Xing Gaoor large scale graphs is trained by full-batch stochastic gradient descent, which causes two problems: over-smoothing and neighborhood expansion, which may lead to loss of model accuracy and high memory and computational overhead. To alleviate these two challenges, we propose CDGCN, a novel GCN algo
作者: 使人煩燥    時(shí)間: 2025-3-28 06:23
Botao Xu,Haizhou Wang the problems of data imbalance and lack of data labels, it is a great challenge to build ship behavior analysis and anomaly detection models based on trajectory data. Based on transfer learning and Transformer architecture, this paper proposes an anomaly detection method for adaptive Transformer mo
作者: 強(qiáng)制令    時(shí)間: 2025-3-28 11:21

作者: 磨坊    時(shí)間: 2025-3-28 16:31
Minglei Guo,Zhenghang Xiao,Xin Liu,Jianwei Zhugeharms and deaths to patients but also huge burdens of expenses to the families and public health sectors for due to treatments in China. Many studies have been researching on this subject. However, such studies lack to provide comprehensive information on the relationships between trauma incidences
作者: instate    時(shí)間: 2025-3-28 22:39

作者: 準(zhǔn)則    時(shí)間: 2025-3-29 01:24
Hanzheng Lyu,Shaokang Xie,Jianyu Niu,Chen Fengtterns and deep behavioral characteristics of vessels from vast amounts of shipping statistics. Additionally, aligning these characteristics with infrastructure such as berths for effective association and recommendation to vessels is a critical requirement for the evolution of intelligent maritime
作者: 過(guò)份艷麗    時(shí)間: 2025-3-29 06:56

作者: 不再流行    時(shí)間: 2025-3-29 09:22

作者: 輕浮思想    時(shí)間: 2025-3-29 14:13
1867-8211 on; Blockchain and Distributed System Security; Cryptography; Data Security...Part II: Intrusion and Anomaly Detection; IoT Security; Network Security; Privacy; Program Analysis; Software Security..978-3-031-64947-9978-3-031-64948-6Series ISSN 1867-8211 Series E-ISSN 1867-822X
作者: Bother    時(shí)間: 2025-3-29 17:42

作者: Musket    時(shí)間: 2025-3-29 20:10

作者: 搬運(yùn)工    時(shí)間: 2025-3-30 00:05

作者: 警告    時(shí)間: 2025-3-30 06:23
Byzantine Protocols with?Asymptotically Optimal Communication Complexityexity of these protocols. In particular, we show how these protocols can be extended to have a complexity of . bits, where . is determined by the security parameter .. This communication complexity is optimal when . reaches ..
作者: 蛙鳴聲    時(shí)間: 2025-3-30 09:37

作者: 天文臺(tái)    時(shí)間: 2025-3-30 15:51

作者: CRASS    時(shí)間: 2025-3-30 18:56





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