商品描述
This book will highlight cutting-edge research with a particular emphasis on interdisciplinary approaches, novel techniques, and solutions to provide digital image security for applications in diverse areas. It further discusses important topics such as biometric imaging, big data security and privacy in healthcare, security and privacy in the internet of things, and security in cloud-based image processing.
This book
- Presents new ideas, approaches, theories, and practices with a focus on digital image security and privacy solutions for real-world applications.
- Discusses security in cloud-based image processing for smart city applications.
- Provides an overview of innovative security techniques that are being developed to ensure the guaranteed authenticity of transmitted, shared, or stored digital images.
- Highlights approaches such as watermarking, blockchain, and hashing. to secure digital images in artificial intelligence, machine learning, cloud computing, and temper detection environments.
- Explains important topics such as biometric imaging, blockchain for digital data security, and protection systems against personal identity theft.
It will serve as an ideal reference text for senior undergraduate, graduate students, academic researchers, and professionals in the fields including electrical engineering, electronics, communications engineering, and computer engineering.
商品描述(中文翻譯)
本書將突出展示前沿研究，特別強調跨學科方法、新穎技術和解決方案，以提供數位影像安全在各個領域的應用。它進一步討論了重要的主題，如生物特徵影像、醫療保健中的大數據安全和隱私、物聯網中的安全和隱私，以及基於雲端的影像處理安全。
本書包括以下內容：
- 提出了針對現實應用的數位影像安全和隱私解決方案的新思想、方法、理論和實踐。
- 討論了智慧城市應用中基於雲端的影像處理安全。
- 概述了正在開發的創新安全技術，以確保傳輸、共享或存儲的數位影像的真實性。
- 強調了保護人工智慧、機器學習、雲端計算和溫度檢測環境中的數位影像安全的方法，如浮水印、區塊鏈和雜湊。
- 解釋了重要主題，如生物特徵影像、數位數據安全的區塊鏈和個人身份盗竊防護系統。
本書將成為高年級本科生、研究生、學術研究人員和電氣工程、電子學、通信工程和計算機工程等領域的專業人士的理想參考資料。
作者簡介
Amit Kumar Singh is an Associate Professor in the Computer Science and Engineering Department, National Institute of Technology Patna, Bihar, India. He has authored over 250 peer-reviewed journals, conference publications, and book chapters. Dr. Singh has been recognized in the "WORLD RANKING OF TOP 2% SCIENTISTS" in "Biomedical Research" (2019) and "Artificial Intelligence & Image Processing" (2020), according to the survey given by Stanford University, USA. Dr. Singh is the associate editor of IEEE Trans. Multimedia, IEEE Trans. Ind. Informat, IEEE Trans. Computat. Social Syst, ACM Trans. Multimedia Comput. Commun. Appl., IEEE J. Biomed. Heal. Informatics, among others. Dr. Singh is the series editor of The IET International Book Series on Multimedia Information Processing and Security. He has edited various international journal special issues as a lead guest editor on publications such as ACM Transactions on Multimedia Computing, Communications, and Applications; ACM Transactions on Internet Technology; IEEE Transactions on Industrial Informatics; IEEE Journal of Biomedical and Health Informatics; IEEE Multimedia; IEEE Access; Multimedia Tools and Applications, Springer; International Journal of Information Management, Elsevier; Journal of Ambient Intelligence and Humanized Computing, among others. His research interests include multimedia data hiding, image processing, biometrics, and cryptography.
Stefano Berretti is an Associate Professor at the Media Integration and Communication Center (MICC) and at the Department of Information Engineering (DINFO) of the University of Florence (UNIFI), Florence, Italy. His research interests are Computer Vision, Artificial Intelligence and Multimedia. During his Ph.D. and post-doc, he worked on image databases for effective and efficient image retrieval based on color, shape attributes, and spatial relationships. He also investigated the problem of retrieval from repositories distributed on the net using resource selection and results fusion. He provided several contributions on 3D object retrieval and partitioning, face biometrics (from 2D and 3D data), facial expression and emotion recognition (from 3D and 3D dynamic data), human action recognition from depth data, and 3D surface descriptors for relief patterns classification. He recently extended his interests to deep learning methods for face recognition and to their generalization to non-Euclidean domains (i.e., graphs, meshes, manifolds, etc.). He is a member of the Italian Association for "Computer Vision, Pattern Recognition and Machine Learning" (CVPL), previously known as "Group of Italian Researchers on Pattern Recognition" (GIRPR), affiliated to the International Association on Pattern Recognition (IAPR) of the Computer Vision Foundation (CVF) of ACM, Eurographics, and a senior member of the IEEE. He has been the Information Director of the ACM Transactions on Multimedia Computing, Communications, and Applications (ACM TOMM) and is now an Associate Editor for ACM TOMM, IEEE TCSVT, the IET Computer Vision journal, and the MDPI Sensors journal. He has also organized special issues of highly ranked journals (ACM TOMM, IEEE J-BHI, CAG Elsevier, IEEE TII) and served as editor of several books. He has been general chair, program chair, and area chair of several conferences and workshops.
Ashisma Anand is an Assistant Professor in the Computer Science and Engineering Department, Thapar Institute of Engineering and Technology, Thaper University, Patiala, Punjab. She earned a Ph.D. from the National Institute of Technology, Patna, in 2021 and a B.Tech from the National Institute of Technology, Hamirpur, in 2017. She has authored many peer-reviewed journals and conferences in repute. Her areas of specialization are Data Hiding methods, Digital Image Processing, Information Security, and Cryptography.
Amrit Kumar Agrawal is an Associate Professor in the Department of Computer Science and Engineering, Sharda University, Greater Noida. He earned his Ph.D. in Computer Science & Engineering from Dr. APJ Abdul Kalam Technical University, Lucknow, Uttar Pradesh, India, in June 2020; M.Tech. (Gold Medalist) in Computer Science and Engineering from Jaypee University of Information Technology (JUIT), Waknaghat, Solan, Himachal Pradesh, in 2010; and B.Tech. in Computer Science and Engineering from UNS, Institute of Engineering and Technology, Veer Bahadur Singh Purvanchal University, Jaunpur, Uttar Pradesh, in 2005. He has authored many peer-reviewed journals and conferences in repute. His research interests include Biometrics, Image Analysis, and Image Security.
作者簡介(中文翻譯)
Amit Kumar Singh是印度比哈爾邦帕特納國家技術研究所計算機科學與工程系的副教授。他已經撰寫了超過250篇同行評審的期刊、會議論文和專書章節。根據美國斯坦福大學的調查，Singh博士在2019年的“生物醫學研究”和2020年的“人工智能與圖像處理”領域被評為“全球排名前2%的科學家”。Singh博士是IEEE Trans. Multimedia、IEEE Trans. Ind. Informat、IEEE Trans. Computat. Social Syst、ACM Trans. Multimedia Comput. Commun. Appl.、IEEE J. Biomed. Heal. Informatics等期刊的副編輯。他還是IET國際多媒體信息處理和安全圖書系列的系列編輯。他曾擔任ACM Transactions on Multimedia Computing, Communications, and Applications、ACM Transactions on Internet Technology、IEEE Transactions on Industrial Informatics、IEEE Journal of Biomedical and Health Informatics、IEEE Multimedia、IEEE Access、Multimedia Tools and Applications（Springer）、International Journal of Information Management（Elsevier）、Journal of Ambient Intelligence and Humanized Computing等國際期刊的主編特刊編輯。他的研究興趣包括多媒體數據隱藏、圖像處理、生物特徵和密碼學。
Stefano Berretti是意大利佛羅倫薩大學媒體整合和通信中心（MICC）和信息工程系（DINFO）的副教授。他的研究興趣包括計算機視覺、人工智能和多媒體。在他的博士和博士後期間，他致力於基於顏色、形狀屬性和空間關係的有效和高效圖像檢索的圖像數據庫。他還研究了從分佈在網絡上的存儲庫檢索的問題，並使用資源選擇和結果融合。他在3D物體檢索和分割、面部生物特徵（從2D和3D數據）、面部表情和情感識別（從3D和3D動態數據）、基於深度數據的人體動作識別以及用於浮雕圖案分類的3D表面描述符等方面提供了多項貢獻。他最近將興趣擴展到了用於人臉識別的深度學習方法，以及它們在非歐幾幾何域（例如圖形、網格、流形等）的泛化。他是意大利“計算機視覺、模式識別和機器學習”（CVPL）協會的成員，該協會以前被稱為“意大利模式識別研究者小組”（GIRPR），隸屬於ACM的國際模式識別協會（IAPR）、歐洲圖形學協會（Eurographics）和IEEE的高級會員。他曾擔任ACM Transactions on Multimedia Computing, Communications, and Applications（ACM TOMM）的信息主任，現在是ACM TOMM、IEEE TCSVT、IET Computer Vision journal和MDPI Sensors journal的副編輯。他還組織了多個高排名期刊的特刊（ACM TOMM、IEEE J-BHI、CAG Elsevier、IEEE TII）並擔任了幾個會議和研討會的總主席、程序主席和領域主席。
Ashisma Anand是印度旁遮普邦帕蒂亞拉的塔帕爾工程技術學院計算機科學與工程系的助理教授。她於2021年在帕特納國家技術研究所獲得博士學位，並於2017年在哈米爾普爾國家技術研究所獲得學士學位。她在知名期刊和會議上發表了許多同行評審的論文。她的專業領域包括數據隱藏方法、數字圖像處理、信息安全和密碼學。
Amrit Kumar Agrawal是印度計算機科學和工程系的副教授。
