找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

Titlebook: Network Security Empowered by Artificial Intelligence; Yingying Chen,Jie Wu,Xiaogang Wang Book 2024 The Editor(s) (if applicable) and The

[復(fù)制鏈接]
查看: 21716|回復(fù): 55
樓主
發(fā)表于 2025-3-21 16:45:03 | 只看該作者 |倒序?yàn)g覽 |閱讀模式
書目名稱Network Security Empowered by Artificial Intelligence
編輯Yingying Chen,Jie Wu,Xiaogang Wang
視頻videohttp://file.papertrans.cn/663/662848/662848.mp4
概述Offers comprehensive solutions for network challenges, emphasizing secure and reliable information.Provides an in-depth analysis of 5G network architecture.Addresses and proposes solutions for securit
叢書名稱Advances in Information Security
圖書封面Titlebook: Network Security Empowered by Artificial Intelligence;  Yingying Chen,Jie Wu,Xiaogang Wang Book 2024 The Editor(s) (if applicable) and The
描述.This book introduces cutting-edge methods on security in spectrum management, mobile networks and next-generation wireless networks in the era of artificial intelligence (AI) and machine learning (ML). This book includes four parts: (a) Architecture Innovations and Security in 5G Networks, (b) Security in Artificial Intelligence-enabled Intrusion Detection Systems. (c) Attack and Defense in Artificial Intelligence-enabled Wireless Systems, (d) Security in Network-enabled Applications. The first part discusses the architectural innovations and security challenges of 5G networks, highlighting novel network structures and strategies to counter vulnerabilities. The second part provides a comprehensive analysis of intrusion detection systems and the pivotal role of AI and machine learning in defense and vulnerability assessment. The third part focuses on wireless systems, where deep learning is explored to enhance wireless communication security. The final part broadens the scope, examining the applications of these emerging technologies in network-enabled fields..The advancement of AI/ML has led to new opportunities for efficient tactical communication and network systems, but also ne
出版日期Book 2024
關(guān)鍵詞5G network; distributed Information-centric architecture; zero-trust architecture; meta-learning; intrus
版次1
doihttps://doi.org/10.1007/978-3-031-53510-9
isbn_softcover978-3-031-53512-3
isbn_ebook978-3-031-53510-9Series ISSN 1568-2633 Series E-ISSN 2512-2193
issn_series 1568-2633
copyrightThe Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
The information of publication is updating

書目名稱Network Security Empowered by Artificial Intelligence影響因子(影響力)




書目名稱Network Security Empowered by Artificial Intelligence影響因子(影響力)學(xué)科排名




書目名稱Network Security Empowered by Artificial Intelligence網(wǎng)絡(luò)公開度




書目名稱Network Security Empowered by Artificial Intelligence網(wǎng)絡(luò)公開度學(xué)科排名




書目名稱Network Security Empowered by Artificial Intelligence被引頻次




書目名稱Network Security Empowered by Artificial Intelligence被引頻次學(xué)科排名




書目名稱Network Security Empowered by Artificial Intelligence年度引用




書目名稱Network Security Empowered by Artificial Intelligence年度引用學(xué)科排名




書目名稱Network Security Empowered by Artificial Intelligence讀者反饋




書目名稱Network Security Empowered by Artificial Intelligence讀者反饋學(xué)科排名




單選投票, 共有 1 人參與投票
 

0票 0.00%

Perfect with Aesthetics

 

0票 0.00%

Better Implies Difficulty

 

0票 0.00%

Good and Satisfactory

 

1票 100.00%

Adverse Performance

 

0票 0.00%

Disdainful Garbage

您所在的用戶組沒有投票權(quán)限
沙發(fā)
發(fā)表于 2025-3-21 22:21:52 | 只看該作者
板凳
發(fā)表于 2025-3-22 01:59:26 | 只看該作者
Adversarial Machine Learning for Wireless Localizationthiness. In this chapter, various attack methods and defense schemes are evaluated in different wireless positioning systems. By examining the vulnerabilities in deep learning-driven localization systems, we demonstrate the necessity to construct a robust wireless localization system.
地板
發(fā)表于 2025-3-22 05:52:09 | 只看該作者
5#
發(fā)表于 2025-3-22 08:46:11 | 只看該作者
Localizing Spectrum Offenders Using Crowdsourcingdsourced system to adversarial attacks and present a case study demonstrating successful attacks on a real world dataset. We show the effectiveness of adversarial training as a defense mechanism, and highlight challenges in developing practical localization systems.
6#
發(fā)表于 2025-3-22 16:53:37 | 只看該作者
Security and Privacy of Augmented Reality Systemsd privacy. Specifically, this chapter will focus on input security, input privacy, and output security of excising AR systems. Vulnerabilities and existing countermeasures are discussed under each topic.
7#
發(fā)表于 2025-3-22 20:50:52 | 只看該作者
978-3-031-53512-3The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
8#
發(fā)表于 2025-3-22 21:21:16 | 只看該作者
Network Security Empowered by Artificial Intelligence978-3-031-53510-9Series ISSN 1568-2633 Series E-ISSN 2512-2193
9#
發(fā)表于 2025-3-23 05:05:52 | 只看該作者
Yingying Chen,Jie Wu,Xiaogang WangOffers comprehensive solutions for network challenges, emphasizing secure and reliable information.Provides an in-depth analysis of 5G network architecture.Addresses and proposes solutions for securit
10#
發(fā)表于 2025-3-23 07:22:35 | 只看該作者
Advances in Information Securityhttp://image.papertrans.cn/n/image/662848.jpg
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務(wù)流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學(xué) Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點(diǎn)評(píng) 投稿經(jīng)驗(yàn)總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機(jī)版|小黑屋| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-14 14:57
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復(fù) 返回頂部 返回列表
全椒县| 阿巴嘎旗| 延安市| 黄龙县| 新宾| 五家渠市| 布尔津县| 班玛县| 陕西省| 宁晋县| 米林县| 德保县| 云浮市| 桦南县| 靖宇县| 营山县| 黎川县| 健康| 岑溪市| 同江市| 嫩江县| 武夷山市| 大港区| 思茅市| 崇阳县| 探索| 乐陵市| 台北县| 永定县| 镇巴县| 佛坪县| 沙坪坝区| 息烽县| 定兴县| 海安县| 孟州市| 西宁市| 邮箱| 吴江市| 延吉市| 井研县|