Generative Adversarial Networks for Cybersecurity:: Protecting Data and Networks
暫譯: 生成對抗網絡在網路安全中的應用：保護數據與網絡

Chandra Blessie, E., Raj, Pethuru, Sundaravadivazhagan, B.

Generative Adversarial Networks for Cybersecurity:: Protecting Data and Networks
  • 出版商: Auerbach Publication
  • 出版日期: 2026-05-07
  • 售價: $4,350
  • 貴賓價: 9.5 折 $4,132
  • 語言: 英文
  • 頁數: 248
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 1041098014
  • ISBN-13: 9781041098010
  • 相關分類: GAN 生成對抗網絡

    • 尚未上市，無法訂購

相關主題

商品描述

Generative Adversarial Networks (GANs) play a crucial dual role in cybersecurity, serving both as powerful defensive tools and sophisticated attack vectors that security professionals must understand and counter. GANs are invaluable for generating synthetic datasets to train cybersecurity models when real attack data is scarce or sensitive, creating realistic network traffic patterns for testing intrusion detection systems, and augmenting threat intelligence by simulating various attack scenarios without exposing actual vulnerabilities.

Exploring the application of GAN models in intrusion detection, anomaly detection, and cybercrime, Generative Adversarial Networks for Cybersecurity: Protecting Data and Networks covers how GANs can be applied to pinpoint security holes, vulnerabilities, viruses, malware, phishing attacks, and other security risks. It explains how advanced GANs integrated with such digital technologies as the Internet of Things (IoT), cloud-native computing, edge analytics, serverless technology, and blockchain to protect and secure data and information from security breaches. The book also discusses how GANs can identify outliers, performance bottlenecks, and other issues in cloud infrastructure modules, applications, and data. Other topics featured in the book include:

  • GAN-based security's ethical and privacy concerns
  • GANs and explainable artificial intelligence (AI)
  • Building trustworthy sixth-generation (6G) networks with Generative Adversarial Learning (GAL)
  • Intrusion detection systems enhanced by GANs

GANs are a valuable tool for enhancing cybersecurity efforts by generating synthetic data and images that can show unusual patterns in data. This book helps researchers, academics, and professionals realize the potential of this powerful tool by presenting the latest innovations and applications of GANs in cybersecurity.

商品描述(中文翻譯)

生成對抗網路（Generative Adversarial Networks, GANs）在網路安全中扮演著至關重要的雙重角色，既是強大的防禦工具，也是安全專業人員必須理解和應對的複雜攻擊向量。當真實攻擊數據稀缺或敏感時，GANs 在生成合成數據集以訓練網路安全模型方面是無價的，能夠創建真實的網路流量模式以測試入侵檢測系統，並通過模擬各種攻擊場景來增強威脅情報，而不暴露實際的漏洞。

在探討 GAN 模型在入侵檢測、異常檢測和網路犯罪中的應用時，生成對抗網路在網路安全中的應用：保護數據和網路 涵蓋了 GANs 如何應用於識別安全漏洞、弱點、病毒、惡意軟體、釣魚攻擊及其他安全風險。它解釋了如何將先進的 GAN 與物聯網（Internet of Things, IoT）、雲原生計算、邊緣分析、無伺服器技術和區塊鏈等數位技術整合，以保護和安全地管理數據和信息，防止安全漏洞。該書還討論了 GANs 如何識別雜訊、性能瓶頸及雲基礎設施模組、應用程式和數據中的其他問題。書中還包括以下主題：

- 基於 GAN 的安全的倫理和隱私問題
- GANs 與可解釋的人工智慧（AI）
- 利用生成對抗學習（Generative Adversarial Learning, GAL）構建可信的第六代（6G）網路
- 由 GANs 增強的入侵檢測系統

GANs 是增強網路安全努力的寶貴工具，能生成合成數據和圖像，顯示數據中的異常模式。本書幫助研究人員、學者和專業人士認識到這一強大工具的潛力，並展示 GANs 在網路安全中的最新創新和應用。

作者簡介

Dr. E. Chandra Blessie is currently working as dean, Innovation, School of Innovation, KG College of Arts and Science, Coimbatore, Tamil Nadu, India. She has 23 years of teaching experience. She is guiding Ph.D. research scholars. She has published 4 books. She has published two patents, 22 book chapters, 46 studies in reputed Journals indexed by Scopus, Springer, the Institute of Electrical and Electronics Engineers (IEEE), and Elsevier, and 36 studies in international conference proceedings. She has published a study on Cybersecurity. Her areas of research interest are deep learning, big data analytics, graph representation learning, knowledge graphs, and security. She has been the reviewer of Springer Conferences and Journals. She has organized many Faculty Development Programs (FDPs), workshops, guest lectures, and webinars. She has acted as a resource person in Workshops/ FDPs/ Symposiums. She has been a resource person for 6 days in the All India Council for Technical Education and the Indian Society for Technical Education (AICTE-ISTE) Refresher Course/Orientation Programme. She has delivered guest lectures at various colleges and has acted as chief guest, reviewer, and chairperson at national and international conferences. She has done International Business Machines (IBM) certifications in Data Analytics, certification on "Deep Learning," Data Science, and Structured Query Language (SQL) Server Administration. She was honored as "Best Active Participation--Woman Member" by the Computer Society of India. She is the chief editor of the book, "Recent Advancements in Engineering and Management".She is member of the Computer Society of India (CSI), Institute of Advanced Scientific Research, and the International Association of Computer Science and Information Technology (IACSIT). She is a member of the Board of Studies in Dr. N.G. P. Arts and Science, Coimbatore, Tamil Nadu, India. She is a member of the PPG Institute of Technology Advisory Board. She was the chairperson of the Computer Society of India, Coimbatore Chapter, Tamil Nadu, India, during the 2022-2023 academic year.

Dr. Pethuru Raj works at Principal AI Architect, Infocion Inc., Karnataka, India. Previously, He worked at Reliance Jio Platforms Ltd. (JPL) in Bengaluru, Karnataka, India, IBM Global Cloud Center of Excellence (CoE), Wipro Consulting Services (WCS), and Robert Bosch Corporate Research (CR). He has gained over 22 years of IT industry experience and 8 years of research experience. Dr. Raj completed a CSIR-sponsored Ph.D. degree at Anna University, Chennai, Tamil Nadu, India and continued with the University Grants Commission (UGC)-sponsored postdoctoral research in the Department of Computer Science and Automation, Indian Institute of Science (IISc), Bengaluru, Karnataka, India. He was granted two international research fellowships, Japan Society for the Promotion of Science (JSPS) and Japan Science and Technology (JST) Agency to work as a research scientist for 3.5 years in two leading Japanese universities. He has been a professional member of Association for Computing Machinery (ACM) and IEEE. He focuses on some of the digital transformation technologies such as the Internet of Things (IoT), artificial intelligence (AI), atreaming data analytics, blockchain, digital twins, cloud-native computing, edge and serverless computing, reliability engineering, microservices architecture (MSA), event-driven architecture (EDA) and 5G/6G.

Dr. B. Sundaravadivazhagan is an experienced researcher and educator in Information and Communication Engineering. He has more than 21 years of teaching and research experience and earned his Ph.D. in Information and Communication Engineering from Anna University in Chennai in 2016. He is a member of various professional bodies such as IEEE, Information Systems Audit and Control Association (ISACA), Indian Society for Technical Education (ISTE), and ACM, and has published over 40 research articles in Science Citation Index (SCI) and Scopusindexed journals. He has also served as a resource person, keynote speaker, and advisory committee member in more than 20 international and national conferences. He has received two research grants from the Ministry of Higher Education, Research and Innovation (MoHERI) and The Research Council (TRC), Oman. His research interests include IoT, AI and machine learning, deep learning, cloud computing, networks and cybersecurity, wireless networks, and mobile ad-hoc Networks (MANETs). He has published articles in cybersecurity. He is a reputed journal editor and reviewer and serves on the Doctoral Committee as an international committee member for Amrita University, Bengaluru, Karnataka, India, as well as an adjunct faculty member at the Saveetha School of Engineering, Chennai, Tamil Nadu, India.

作者簡介(中文翻譯)

Dr. E. Chandra Blessie目前擔任印度泰米爾納德邦科印巴多爾KG藝術與科學學院創新學院的院長。她擁有23年的教學經驗，並指導博士研究生。她已出版4本書籍，擁有兩項專利，發表了22篇書章、46篇在Scopus、Springer、電氣與電子工程師學會（IEEE）及Elsevier等知名期刊上發表的研究，並在國際會議論文集中發表了36篇研究。她發表了一項有關網絡安全的研究。她的研究興趣包括深度學習、大數據分析、圖表示學習、知識圖譜和安全性。她曾擔任Springer會議和期刊的審稿人，並組織了多個教師發展計劃（FDP）、工作坊、特邀講座和網絡研討會。她在工作坊/FDP/研討會中擔任資源人員，並在全印度技術教育委員會及印度技術教育學會（AICTE-ISTE）進行了為期6天的進修課程/導向計劃。她在多所學院進行特邀講座，並在國內外會議中擔任主講嘉賓、審稿人和主席。她已獲得國際商業機器（IBM）在數據分析、深度學習、數據科學和結構化查詢語言（SQL）伺服器管理的認證。她被印度計算機學會評選為「最佳積極參與--女性成員」。她是書籍《工程與管理的最新進展》的主編。她是印度計算機學會（CSI）、高級科學研究所及國際計算機科學與信息技術協會（IACSIT）的成員。她是印度泰米爾納德邦科印巴多爾Dr. N.G. P.藝術與科學學院的研究委員會成員，也是PPG技術學院諮詢委員會的成員。在2022-2023學年，她擔任印度計算機學會科印巴多爾分會的主席。

Dr. Pethuru Raj擔任印度卡納塔克邦Infocion Inc.的首席人工智慧架構師。此前，他曾在印度卡納塔克邦班加羅爾的Reliance Jio Platforms Ltd. (JPL)、IBM全球雲端卓越中心（CoE）、Wipro諮詢服務（WCS）和羅伯特·博世企業研究（CR）工作。他在IT行業擁有超過22年的經驗和8年的研究經驗。Dr. Raj在印度泰米爾納德邦的安娜大學完成了CSIR贊助的博士學位，並在印度科學院（IISc）計算機科學與自動化系繼續進行UGC贊助的博士後研究。他獲得了兩項國際研究獎學金，分別是日本學術振興會（JSPS）和日本科學技術（JST）機構，並在兩所領先的日本大學擔任研究科學家3.5年。他是計算機協會（ACM）和IEEE的專業成員，專注於一些數位轉型技術，如物聯網（IoT）、人工智慧（AI）、串流數據分析、區塊鏈、數位雙胞胎、雲原生計算、邊緣計算和無伺服器計算、可靠性工程、微服務架構（MSA）、事件驅動架構（EDA）及5G/6G。

Dr. B. Sundaravadivazhagan是一位在信息與通信工程領域具有豐富經驗的研究者和教育者。他擁有超過21年的教學和研究經驗，並於2016年在印度泰米爾納德邦的安娜大學獲得信息與通信工程博士學位。他是多個專業機構的成員，如IEEE、信息系統審計與控制協會（ISACA）、印度技術教育學會（ISTE）和ACM，並在科學引文索引（SCI）和Scopus索引的期刊上發表了超過40篇研究文章。他還在20多個國際和國內會議中擔任資源人員、主題演講者和諮詢委員會成員。他獲得了來自高等教育、研究與創新部（MoHERI）和阿曼研究委員會（TRC）的兩項研究資助。他的研究興趣包括物聯網（IoT）、人工智慧（AI）和機器學習、深度學習、雲計算、網絡和網絡安全、無線網絡及移動自組網（MANETs）。他在網絡安全方面發表了文章。他是一位知名的期刊編輯和審稿人，並擔任印度卡納塔克邦班加羅爾阿姆里塔大學的國際委員會成員及印度泰米爾納德邦的Saveetha工程學院的兼任教員。

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