派博傳思國際中心

標(biāo)題: Titlebook: Network Security Empowered by Artificial Intelligence; Yingying Chen,Jie Wu,Xiaogang Wang Book 2024 The Editor(s) (if applicable) and The [打印本頁]

作者: 兇惡的老婦    時(shí)間: 2025-3-21 16:45
書目名稱Network Security Empowered by Artificial Intelligence影響因子(影響力)




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




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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





作者: Hyperalgesia    時(shí)間: 2025-3-21 22:21

作者: 造反,叛亂    時(shí)間: 2025-3-22 01:59
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.
作者: In-Situ    時(shí)間: 2025-3-22 05:52

作者: 多節(jié)    時(shí)間: 2025-3-22 08:46
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.
作者: 額外的事    時(shí)間: 2025-3-22 16:53
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.
作者: euphoria    時(shí)間: 2025-3-22 20:50
978-3-031-53512-3The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerl
作者: 精確    時(shí)間: 2025-3-22 21:21
Network Security Empowered by Artificial Intelligence978-3-031-53510-9Series ISSN 1568-2633 Series E-ISSN 2512-2193
作者: 不成比例    時(shí)間: 2025-3-23 05:05
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
作者: 小官    時(shí)間: 2025-3-23 07:22
Advances in Information Securityhttp://image.papertrans.cn/n/image/662848.jpg
作者: Ballerina    時(shí)間: 2025-3-23 10:11
https://doi.org/10.1007/978-3-031-53510-95G network; distributed Information-centric architecture; zero-trust architecture; meta-learning; intrus
作者: phlegm    時(shí)間: 2025-3-23 14:09
-Zade. The first volume, subtitled "Classification of critical points, caustics and wave fronts", was published by Moscow, "Nauka", in 1982. It will be referred to in this text simply as "Volume 1". Whilst the first volume contained the zoology of differentiable maps, that is it was devoted to a des
作者: GULLY    時(shí)間: 2025-3-23 19:26

作者: 熱烈的歡迎    時(shí)間: 2025-3-23 22:49

作者: jaunty    時(shí)間: 2025-3-24 06:23
Tao Li,Yunian Pan,Quanyan Zhu-Zade. The first volume, subtitled "Classification of critical points, caustics and wave fronts", was published by Moscow, "Nauka", in 1982. It will be referred to in this text simply as "Volume 1". Whilst the first volume contained the zoology of differentiable maps, that is it was devoted to a des
作者: Jargon    時(shí)間: 2025-3-24 10:27
nce. After the first five or six lectures one already holds the brightest hopes, already sees oneself as a seeker after truth. I too have wholeheartedly pursued science passionately, as one would a beloved woman. I was a slave, and sought no other sun in my life. Day and night I crammed myself, bend
作者: carotenoids    時(shí)間: 2025-3-24 11:30
Michael J. De Lucia,Avinash Srinivasannce. After the first five or six lectures one already holds the brightest hopes, already sees oneself as a seeker after truth. I too have wholeheartedly pursued science passionately, as one would a beloved woman. I was a slave, and sought no other sun in my life. Day and night I crammed myself, bend
作者: 濃縮    時(shí)間: 2025-3-24 15:47
Rui Duan,Wenwei Zhao,Zhengping Jay Luo,Ning Wang,Yao Liu,Zhuo Lunce. After the first five or six lectures one already holds the brightest hopes, already sees oneself as a seeker after truth. I too have wholeheartedly pursued science passionately, as one would a beloved woman. I was a slave, and sought no other sun in my life. Day and night I crammed myself, bend
作者: 大量    時(shí)間: 2025-3-24 21:55
Nadia Niknami,Jie Wuussed.Useful for a wide range of applications across discipl.?Singularity theory is a far-reaching extension of maxima and minima investigations of differentiable functions, with implications for many different areas of mathematics, engineering (catastrophe theory and the theory of bifurcations), an
作者: 談判    時(shí)間: 2025-3-25 00:41
ussed.Useful for a wide range of applications across discipl.?Singularity theory is a far-reaching extension of maxima and minima investigations of differentiable functions, with implications for many different areas of mathematics, engineering (catastrophe theory and the theory of bifurcations), an
作者: 橡子    時(shí)間: 2025-3-25 03:22

作者: 假設(shè)    時(shí)間: 2025-3-25 09:33
Jiacheng Shangreds of exercises, with many designed to help master techniq.The first monograph on singularities of mappings for many years, this book provides an introduction to the subject and an account of recent developments concerning the local structure of complex analytic mappings..Part I of the book develo
作者: GNAT    時(shí)間: 2025-3-25 12:10

作者: Aggregate    時(shí)間: 2025-3-25 17:04

作者: fiscal    時(shí)間: 2025-3-25 22:17
Agnideven Palanisamy Sundar,Feng Li,Xukai Zou,Tianchong Gaonts concerning the local structure of complex analytic mappings..Part I of the book develops the now classical real C.∞. and complex analytic theories jointly. Standard topics such as stability, deformation theory and finite determinacy, are covered in this part. In Part II of the book, the authors
作者: Cervical-Spine    時(shí)間: 2025-3-26 00:21

作者: apropos    時(shí)間: 2025-3-26 05:23
nCore: Clean Slate Next-G Mobile Core Network Architecture for Scalability and Low Latencye requirements of 5G radio access technologies and beyond. The current 3GPP specification for 5G mobile networks has evolved through two generations of cellular (3G and 4G), and is fundamentally limited by its evolutionary design which incorporates legacy signaling from switched telecom networks int
作者: 口味    時(shí)間: 2025-3-26 09:06
Decision-Dominant Strategic Defense Against Lateral Movement for 5G Zero-Trust Multi-Domain Networkseate a highly interconnected battle network that is difficult for adversaries to disrupt or defeat. However, the adoption of 5G technologies on battlefields presents new vulnerabilities due to the complexity of interconnections and the diversity of software, hardware, and devices from different supp
作者: 抗生素    時(shí)間: 2025-3-26 13:30
Artificial Intelligence and Machine Learning for Network Security: Quo Vadis?be protected with basic network monitoring and analysis tools and traditional network intrusion detection systems. As a result, artificial-intelligence (AI) and machine learning (ML) is increasingly becoming the focal point of many advancements in network intrusion detection systems. Consequently, i
作者: NEG    時(shí)間: 2025-3-26 18:25
Understanding the Ineffectiveness of the Transfer Attack in Intrusion Detection Systemackers can create AEs to make the detection system predict wrong network activities. Existing attacks only add a small perturbation to revise the network packets to obtain a high attack effectiveness. However, these AEs are crafted based on the white-box setting. It is unclear if such AEs can transf
作者: 松馳    時(shí)間: 2025-3-26 22:07

作者: choroid    時(shí)間: 2025-3-27 01:36
Deep Learning for Robust and Secure Wireless Communicationsanging from information access to social networking. However, the emergence of numerous wireless applications is driving the demand for spectrum to unprecedented levels. Simultaneously, wireless systems are becoming increasingly software-driven, reducing the barrier for wireless threats such as inte
作者: 紋章    時(shí)間: 2025-3-27 07:54

作者: Wallow    時(shí)間: 2025-3-27 11:57

作者: 擴(kuò)音器    時(shí)間: 2025-3-27 14:03
Localizing Spectrum Offenders Using Crowdsourcing over large areas in order to provide protection to spectrum users. This chapter explores various recent RSS-based localization techniques which use crowdsourced measurements, including path loss models, fingerprinting, and machine learning-based approaches. Our focus is on utilizing convolutional n
作者: 歸功于    時(shí)間: 2025-3-27 20:38

作者: 咽下    時(shí)間: 2025-3-28 00:29
Security and Privacy of Augmented Reality Systemsem increasingly popular among mass consumers, in industry, and even in military training. In order to support immersive and realistic user experience, AR systems rely on real-time sensing through various types of sensors to understand the physical environment, make intelligent decisions, and render
作者: 使出神    時(shí)間: 2025-3-28 03:02
Securing Augmented Reality Applicationsalthcare. However, these applications face numerous security challenges, such as data privacy, authentication, and authorization. In this chapter, we explore the use of Artificial Intelligence and Machine Learning techniques to enhance the security of AR applications. We discuss the different securi
作者: genesis    時(shí)間: 2025-3-28 08:38
On the Robustness of Image-Based Malware Detection Against Adversarial Attacksnstrated in various network-security-oriented applications such as intrusion detection, cyber threat intelligence, vulnerability discovery, and malware detection. Nevertheless, recent research studies have shown that crafted adversarial samples can be used to evade malware detection models. Even tho
作者: 甜得發(fā)膩    時(shí)間: 2025-3-28 11:47
The Cost of Privacy: A Comprehensive Analysis of the Security Issues in Federated Learningn extensive model trained in a broader dataset without ever sharing their private data directly. FL combines multiple local models into a global model, thereby diminishing the need for individual participants to have large datasets. This decentralized nature of FL makes it more susceptible to advers
作者: 宣傳    時(shí)間: 2025-3-28 17:32
Lessons Learned and Future Directions for Security, Resilience and Artificial Intelligence in Cyber and cyber attacks have been shown to cause safety violations, which can damage these systems and endanger human lives. The past decade has seen the proliferation of research efforts related to security and resilience in cyber physical systems, with an abundance of publications, workshops, and even
作者: 誘惑    時(shí)間: 2025-3-28 20:18
nCore: Clean Slate Next-G Mobile Core Network Architecture for Scalability and Low Latencyde of the 3GPP specification. The design of nCore is based on distributed information-centric architecture with unique identifiers for network objects along with the concept of locator-ID separation. A clean slate flat network core architecture is presented with details of the design and key protoco
作者: 有權(quán)威    時(shí)間: 2025-3-28 23:14
Decision-Dominant Strategic Defense Against Lateral Movement for 5G Zero-Trust Multi-Domain Networksitical assets on the battlefield before they can conduct reconnaissance or gain necessary access or credentials. We demonstrate the effectiveness of our game-theoretic design, which uses a meta-learning framework to enable zero-trust monitoring and decision-dominant defense against attackers in emer
作者: AVOW    時(shí)間: 2025-3-29 04:51

作者: Thyroiditis    時(shí)間: 2025-3-29 07:54
Understanding the Ineffectiveness of the Transfer Attack in Intrusion Detection Systemto generate different AEs based on specific surrogate models. To explore the transferability of AEs, we use different AEs to interact with different well-trained models, in order to find the key insights of transfer attacks in the network. We find that transfer attacks have some common properties wi
作者: 6Applepolish    時(shí)間: 2025-3-29 14:27
Advanced ML/DL-Based Intrusion Detection Systems for Software-Defined Networksrusion detection methods for SDN. We will focus on specific network intrusion methods designed for SDN and evaluate their effectiveness and efficiency based on metrics such as accuracy, processing time, overhead, and false positive rate. Through real testbed evaluations, we aim to identify the most
作者: aptitude    時(shí)間: 2025-3-29 17:17
Deep Learning for Robust and Secure Wireless Communications of wireless communication systems..In this chapter, we present three Deep Learning-based solutions for achieving robust and secure wireless communications. The first is a real-time system capable of detecting, classifying, and spectro-temporally localizing wireless collisions and emissions across a
作者: 合法    時(shí)間: 2025-3-29 22:01
Universal Targeted Adversarial Attacks Against mmWave-Based Human Activity Recognitionl investigate both white-box and black-box adversarial attacks on these mmWave-based HAR systems. Our strategy encompasses the two prevalent mmWave-based HAR models—voxel-based and heatmap-based, thereby enhancing the reach of our attack. Our evaluations underscore the effectiveness of our designed
作者: Arbitrary    時(shí)間: 2025-3-30 03:25
Adversarial Online Reinforcement Learning Under Limited Defender Resourceso change policies. Thus, in addition to the standard metric of losses, switching costs, which capture the costs for changing policies, are regarded as a critical metric in RL. This chapter will introduce the state-of-the-art results on both bandits and RL with switching costs, their importance on ne
作者: 背帶    時(shí)間: 2025-3-30 08:02
On the Robustness of Image-Based Malware Detection Against Adversarial Attacks Method (FGSM) attacks for white-box settings. To this end, we implement a Convolutional Neural Network (CNN) to classify the image representations of Windows Portable Executable (PE) malware with a detection accuracy of 95.05%. Then, we evaluate its robustness along with MalConv, a state-of-the-art
作者: IVORY    時(shí)間: 2025-3-30 10:04
The Cost of Privacy: A Comprehensive Analysis of the Security Issues in Federated Learning. These security concerns have made adopting FL models complex on a global scale. Many researchers have exploited these security concerns in the past few years and developed numerous attacks based on multiple vulnerabilities. In this chapter, we comprehensively analyze the diverse elements that make
作者: hypertension    時(shí)間: 2025-3-30 14:32
Lessons Learned and Future Directions for Security, Resilience and Artificial Intelligence in Cyber ions as cautionary notes, which include: (1) the critical importance of physics and the physical world (P); (2) various means and effects that are introduced by cyber (C); (3) interactions and ramifications of P and C in a system (S); (4) system model and control in CPS; (5) enhanced robustness of c
作者: 供過于求    時(shí)間: 2025-3-30 19:59
Book 2024 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
作者: 外來    時(shí)間: 2025-3-30 22:32

作者: 青石板    時(shí)間: 2025-3-31 03:14

作者: Adornment    時(shí)間: 2025-3-31 06:22
corners of mathematics (such as algebraic and differential geometry and topology, Lie groups and algebras, complex manifolds, commutative algebra and the like) 978-1-4612-9589-1978-1-4612-5154-5Series ISSN 1017-0480 Series E-ISSN 2296-4886




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