persistence
发表于 2025-3-25 04:11:16
A Novel Software Defined Security Framework for SDNabstraction of the essential security features into a single software layer. SDS can be designed for traditional physical, virtualized, NFVs (Network Function Virtualization) and SDN (Software Defined Networking) based networks. This paper aims at developing an SDS framework for ONOS based SDN syste
宣称
发表于 2025-3-25 07:47:04
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机密
发表于 2025-3-25 13:26:38
Securing Autonomous Vehicles: Fundamentals, Challenges, and Perspectives, enabling the proactive prevention of errors and attacks based on collected data. The overarching goal is to leverage data to not only prevent attacks but also rectify errors within autonomous vehicles.
玛瑙
发表于 2025-3-25 19:01:46
A New Efficient PUF-Based Mutual Authentication Scheme for Dronese identity database into a single element, which reduces the amount of data that needs to be stored on a drone. Moreover, the proposed scheme is, in the worst case, equivalent to the most recent PUF-based mutual authentication schemes for drones in terms of communication data. Moreover, this paper give an implementation of the proposed scheme.
cloture
发表于 2025-3-25 20:07:25
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Painstaking
发表于 2025-3-26 02:18:43
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前面
发表于 2025-3-26 07:14:11
0302-9743 eviewed and selected from 25 submissions. The papers detail security issues in internet-related applications, networks and systems. .978-3-031-61230-5978-3-031-61231-2Series ISSN 0302-9743 Series E-ISSN 1611-3349
refine
发表于 2025-3-26 09:38:23
0302-9743 S 2023, which took place in Rabat, Morocco, during December 6–8, 2023...The 13 full papers and 2 short papers included in this volume were carefully reviewed and selected from 25 submissions. The papers detail security issues in internet-related applications, networks and systems. .978-3-031-61230-
Boycott
发表于 2025-3-26 14:46:12
rded, transcribed, and analyzed with a two-stage thematic analysis, yielding in the end 76.8% inter-coders’ agreement..We identified six roles of PA, i.e., guide, interlocutor, safe box, lifesaver, secretary, and travel mate. We also break down the frequency with which each role is mentioned by the
Enthralling
发表于 2025-3-26 18:55:04
Aisha Alansari,Razan Alfaqeer,Mohammad Hammoudeherage signal intensity), we use a 1D convolutional neural network (Conv1D) to learn bio-sensing features automatically. In experiments, we evaluate our method using DEAP and MAHNOB-HCI datasets. Our proposed multi-modal framework successfully outperforms both single- and multi-modal methods achievin