期刊名：Future Internet

期刊主页：https://www.mdpi.com/journal/futureinternet

1. Conservative Interference Injection to Minimize Wi-Fi Sensing Privacy Risks and Bandwidth Loss

通过保守式干扰注入以最小化 Wi-Fi 感知的隐私风险与带宽损失

https://www.mdpi.com/1999-5903/17/1/20

2. Secure Tiny Machine Learning on Edge Devices: A Lightweight Dual Attestation Mechanism for Machine Learning

边缘设备上的安全微型机器学习：一种面向机器学习的轻量级双重认证机制

https://www.mdpi.com/1999-5903/17/2/85

3. Navigating Challenges and Harnessing Opportunities: Deep Learning Applications in Internet of Medical Things

应对挑战与把握机遇：深度学习在医疗物联网中的应用

https://www.mdpi.com/1999-5903/17/3/107

4. Energy-Efficient Secure Cell-Free Massive MIMO for Internet of Things: A Hybrid CNN–LSTM-Based Deep-Learning Approach

面向物联网的高能效安全无蜂窝大规模MIMO：一种基于CNN-LSTM混合深度学习的方法

https://www.mdpi.com/1999-5903/17/4/169

5. Trustworthy AI and Federated Learning for Intrusion Detection in 6G-Connected Smart Buildings

面向6G互联智慧建筑的可信人工智能与联邦学习入侵检测

https://www.mdpi.com/1999-5903/17/5/191

6. Generative Adversarial and Transformer Network Synergy for Robust Intrusion Detection in IoT Environments

GAN与Transformer协同的物联网环境鲁棒入侵检测

https://www.mdpi.com/1999-5903/17/6/258

7. An Optimized Transformer–GAN–AE for Intrusion Detection in Edge and IIoT Systems: Experimental Insights from WUSTL-IIoT-2021, EdgeIIoTset, and TON_IoT Datasets

面向边缘与工业物联网系统的优化 Transformer–GAN–AE 入侵检测方法：基于 WUSTL-IIoT-2021、EdgeIIoTset 和 TON_IoT 数据集的实验分析

https://www.mdpi.com/1999-5903/17/7/279

8. Interest Flooding Attacks in Named Data Networking and Mitigations: Recent Advances and Challenges

命名数据网络（NDN）中的兴趣洪水攻击与防御：研究进展与挑战

https://www.mdpi.com/1999-5903/17/8/357

9. Modelling Large-Scale Group Decision-Making Through Grouping with Large Language Models

基于大语言模型分组建模的大规模群体决策方法

https://www.mdpi.com/1999-5903/17/9/381

10. Building Trust in Autonomous Aerial Systems: A Review of Hardware-Rooted Trust Mechanisms

自主飞行系统的可信构建：硬件根信任机制综述

https://www.mdpi.com/1999-5903/17/10/466

11. Securing the SDN Data Plane in Emerging Technology Domains: A Review

新兴技术领域中SDN 数据平面安全：综述

https://www.mdpi.com/1999-5903/17/11/503

12. MalScore: A Quality Assessment Framework for Visual Malware Datasets Using No-Reference Image Quality Metrics

MalScore：基于无参考图像质量指标的视觉恶意软件数据集质量评估框架

https://www.mdpi.com/1999-5903/17/12/554

Future Internet 期刊介绍

主编：Prof. Dr. Gianluigi Ferrari, University of Parma, Italy

Future Internet (ISSN: 1999-5903) 创刊于2009年，最新Impact Factor 3.6, Citescore 8.3, 是由MDPI出版的国际化、经同行评审的开放获取期刊。期刊致力于计算机网络、通信与信息系统领域的最新研究成果，重点关注物联网（IoT）、大数据与增强智能、智能系统（技术、架构及应用）、网络虚拟化、边缘/雾计算以及网络安全等领域。期刊欢迎理论与实验研究类论文，并定期推出特刊以聚焦特定研究主题。目前，Future Internet 期刊已被EI Compendex，ESCI (Web of Science)、Scopus等重要数据库收录。

Time to First Decision：16.1 Days

Acceptance to Publication：2.9 Days