Networks Attack Detection on 5g Networks Using Data Mining Techniques
暫譯: 基於資料探勘技術的5G網路攻擊偵測

Pande, Sagar Dhanraj, Khamparia, Aditya

Networks Attack Detection on 5g Networks Using Data Mining Techniques
  • 出版商: CRC
  • 出版日期: 2026-05-22
  • 售價: $2,580
  • 貴賓價: 9.5 折 $2,451
  • 語言: 英文
  • 頁數: 202
  • 裝訂: Quality Paper - also called trade paper
  • ISBN: 1032746572
  • ISBN-13: 9781032746579
  • 相關分類: Machine Learning、5G

    • 尚未上市，無法訂購

商品描述

Artificial intelligence (AI) and its applications have risen to prominence as one of the most active study areas in recent years. In recent years, a rising number of AI applications have been applied in a variety of areas. Agriculture, transportation, medicine, and health are all being transformed by AI technology. The Internet of Things (IoT) market is thriving, having a significant impact on a wide variety of industries and applications, including e-health care, smart cities, smart transportation, and industrial engineering. Recent breakthroughs in artificial intelligence and machine learning techniques have reshaped various aspects of artificial vision, considerably improving the state of the art for artificial vision systems across a broad range of high-level tasks. As a result, several innovations and studies are being conducted to improve the performance and productivity of IoT devices across multiple industries using machine learning and artificial intelligence. Security is a primary consideration when analyzing the next generation communication network due to the rapid advancement of technology. Additionally, data analytics, deep intelligence, deep learning, cloud computing, and intelligent solutions are being employed in medical, agricultural, industrial, and health care systems that are based on the Internet of Things. This book will look at cutting-edge Network Attacks and Security solutions that employ intelligent data processing and Machine Learning (ML) methods.

This book:

  • Covers emerging technologies of network attacks and management aspects
  • Presents artificial intelligence techniques for networks and resource optimization, and toward network automation, and security
  • Showcases recent industrial and technological aspects of next-generation networks
  • Illustrates artificial intelligence techniques to mitigate cyber-attacks, authentication, and authorization challenges
  • Explains smart, and real-time monitoring services, multimedia, cloud computing, and information processing methodologies in 5G networks
  • It is primarily for senior undergraduates, graduate students and academic researchers in the fields of electrical engineering, electronics and communication engineering, computer engineering, and information technology

商品描述(中文翻譯)

人工智慧（AI）及其應用在近年來已成為最活躍的研究領域之一。近年來，越來越多的AI應用被應用於各個領域。農業、交通、醫療和健康都在AI技術的轉型下發生變化。物聯網（IoT）市場蓬勃發展，對包括電子健康照護、智慧城市、智慧交通和工業工程在內的各種行業和應用產生了重大影響。最近在人工智慧和機器學習技術方面的突破，重塑了人工視覺的各個方面，顯著改善了各種高階任務中人工視覺系統的技術水平。因此，許多創新和研究正在進行，以利用機器學習和人工智慧提高多個行業中物聯網設備的性能和生產力。由於技術的快速進步，安全性成為分析下一代通信網絡的主要考量。此外，數據分析、深度智能、深度學習、雲計算和智能解決方案正在被應用於基於物聯網的醫療、農業、工業和健康照護系統。本書將探討利用智能數據處理和機器學習（ML）方法的前沿網絡攻擊和安全解決方案。

本書：
- 涵蓋網絡攻擊和管理方面的新興技術
- 提出用於網絡和資源優化的人工智慧技術，並朝向網絡自動化和安全
- 展示下一代網絡的最新工業和技術方面
- 說明人工智慧技術以減輕網絡攻擊、身份驗證和授權挑戰
- 解釋在5G網絡中的智能和實時監控服務、多媒體、雲計算和信息處理方法
- 主要針對電機工程、電子與通信工程、計算機工程和信息技術領域的高年級本科生、研究生及學術研究人員

作者簡介

Dr. Sagar Dhanraj Pande

Assistant Professor, Department of Computer Science and Engineering, School of Engineering and Technology, Pimpri Chinchwad University (PCU), Pune, Maharashtra, India.

Dr. Sagar Dhanraj Pande has expertise in Teaching, Innovation, Research & Development of more than 8 years. He has received his Ph.D. in Computer Science and Engineering from Lovely Professional University, Phagwara, Punjab, India in 2021. He was 2nd University Topper during his Master of Engineering in 2016 at Sant Gadge Baba Amravati University, Amravati, Maharashtra, India. He has been awarded with "BEST PAPER AWARD" in 2023 from International Knowledge Research Foundation in collaboration with Eminent College of Management and Technology (ECMT), West Bengal, India. He has received the "Young Researcher Award" and "Best Ph.D. Thesis Award" in 2022 from Universal Innovators, New Delhi, India. Also, he has received the "Emerging Scientist Award" in 2021 from VDGOOD Professional Association, Pondicherry, India. He has been Session Chair of Multiple International Conferences. His research interest is Deep Learning, Machine Learning, Network Attacks, Cyber Security, and the Internet of Medical Things (IoMT). He has published and presented more than 85 papers in IEEE, Springer, Elsevier, Taylor & Francis, and other reputable journals which are SCI, SCIE, Scopus indexed & peer-review journals. Also, he has published more than 48 Patents on the topics of Computer Vision, Natural Language Processing, Generative AI, IoT, and its applications. He is currently supervising 4 Ph. D Scholar in the domain of AIML. He has also supervised several postgraduate students in cybersecurity, computer networks, and AI. He is responsible for teaching Artificial Intelligence, Deep Learning, Machine Learning, Cyber Crime and Security, and Python Programming courses to undergraduate and post- graduate students. He is also sharing his knowledge through his YouTube channel named sdpguruj https: //www.youtube.com/c/SDPGuruji/playlists.

Dr. Aditya Khamparia

Assistant Professor, Coordinator of Department of Computer Science, Babasaheb Bhimrao Ambedkar University, Satellite Centre, Amethi, India.

Dr. Aditya Khamparia has expertise in Teaching, Entrepreneurship, and Research & Development of 8 years. He is currently working as Assistant Professor and Coordinator of Department of Computer Science, Babasaheb Bhimrao Ambedkar University, Satellite Centre, Amethi, India. He received his Ph.D. degree from Lovely Professional University, Punjab in May 2018. He has completed his M. Tech. from VIT University and B. Tech. from RGPV, Bhopal. He has completed his PDF from UNIFOR, Brazil. He has around 95 research papers along with book chapters including more than 15 papers in SCI indexed Journals with cumulative impact factor of above 50 to his credit. Additionally, He has authored, edited and editing 5 books. Furthermore, he has served the research field as a Keynote Speaker/Session Chair/Reviewer/TPC member/ Guest Editor and many more positions in various conferences and journals. His research interest includes machine learning, deep learning, educational technologies, computer vision.

作者簡介(中文翻譯)

Dr. Sagar Dhanraj Pande
計算機科學與工程系助理教授，工程與技術學院，Pimpri Chinchwad 大學 (PCU)，印度普納，馬哈拉施特拉邦。
Dr. Sagar Dhanraj Pande 擁有超過 8 年的教學、創新、研究與開發專業知識。他於 2021 年在印度旁遮普的 Lovely Professional University 獲得計算機科學與工程的博士學位。在 2016 年，他在印度馬哈拉施特拉邦的 Sant Gadge Baba Amravati University 獲得工程碩士學位時，成為第二名大學優等生。他於 2023 年獲得國際知識研究基金會與西孟加拉邦的 Eminent College of Management and Technology (ECMT) 合作頒發的「最佳論文獎」。他於 2022 年獲得印度新德里的 Universal Innovators 頒發的「青年研究者獎」和「最佳博士論文獎」。此外，他於 2021 年獲得印度龐迪榭里的 VDGOOD 專業協會頒發的「新興科學家獎」。他曾擔任多場國際會議的會議主席。他的研究興趣包括深度學習、機器學習、網絡攻擊、網絡安全以及醫療物聯網 (IoMT)。他在 IEEE、Springer、Elsevier、Taylor & Francis 及其他知名期刊上發表和展示了超過85 篇論文，這些期刊均為 SCI、SCIE、Scopus 索引及同行評審期刊。此外，他在計算機視覺、自然語言處理、生成式 AI、物聯網及其應用方面已獲得超過48 項專利。他目前指導 4 位博士生於 AIML 領域，並且曾指導多位研究生於網絡安全、計算機網絡及 AI 領域。他負責教授本科生和研究生的人工智慧、深度學習、機器學習、網絡犯罪與安全以及 Python 程式設計課程。他還透過他的 YouTube 頻道sdpguruj分享知識，網址為 https://www.youtube.com/c/SDPGuruji/playlists。

Dr. Aditya Khamparia
計算機系助理教授、協調員，Babasaheb Bhimrao Ambedkar 大學，衛星中心，印度阿梅提。
Dr. Aditya Khamparia 擁有 8 年的教學、創業及研究與開發專業知識。他目前擔任印度阿梅提的 Babasaheb Bhimrao Ambedkar 大學計算機系的助理教授和協調員。他於 2018 年 5 月獲得 Lovely Professional University 的博士學位。他在 VIT 大學完成碩士學位，並在 RGPV、博帕爾完成學士學位。他在巴西的 UNIFOR 完成了 PDF。他擁有約 95 篇研究論文及書籍章節，其中包括超過 15 篇 SCI 索引期刊的論文，累計影響因子超過 50。此外，他已撰寫、編輯及編輯 5 本書籍。此外，他在各種會議和期刊中擔任過主題演講者、會議主席、審稿人、TPC 成員、特邀編輯等多個職位。他的研究興趣包括機器學習、深度學習、教育技術和計算機視覺。

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