Unveiling the Art of Steganography: A Modern Approach
暫譯: 揭開隱寫術的藝術：現代方法
Pilania, Urmila, Kumar, Manoj
- 出版商: CRC
- 出版日期: 2026-03-05
- 售價: $6,440
- 貴賓價: 9.8 折 $6,311
- 語言: 英文
- 頁數: 176
- 裝訂: Hardcover - also called cloth, retail trade, or trade
- ISBN: 1032821078
- ISBN-13: 9781032821078
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相關分類:
Penetration-test
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相關主題
商品描述
This book delves into the fundamentals of steganography, the ancient art of hiding messages in plain sight. From the historical roots to modern applications, readers are taken on a journey through the techniques that transform seemingly ordinary content into carriers of covert communication. The book not only demystifies the basics of steganography but also sheds light on its contemporary applications in digital security, forensics, and confidential messaging.
Beginning with the ancient origins of hidden writing, the book builds a clear picture of how steganography has evolved alongside cryptography and cybersecurity. It then moves into the digital realm, explaining with clarity how messages are embedded within images, audio and video files, and how these methods are analyzed, tested, and, ultimately, uncovered.
Balancing theory with application, the text introduces key measures of quality, such as PSNR and MSE, and unpacks practical techniques used for both embedding and detecting hidden data. The discussion of steganalysis tools is especially valuable, giving readers a grounded understanding of the strengths and limitations of current approaches.
Applications are drawn from real-world domains - from digital forensics and cyber defense to secure communications - demonstrating why steganography matters not only as a technical discipline but as a practical skill. The authors also look ahead, surveying the challenges posed by increasingly complex media formats and the potential directions of future research.
商品描述(中文翻譯)
這本書深入探討了隱寫術的基本原理，這是一種古老的在明處隱藏訊息的藝術。從歷史根源到現代應用，讀者將踏上一段旅程，了解如何將看似普通的內容轉變為隱秘通信的載體。這本書不僅揭開了隱寫術的基本面紗，還闡明了其在數位安全、法醫學和機密訊息中的當代應用。
書中首先介紹了隱寫術的古老起源，清晰描繪了隱寫術如何與密碼學和網路安全共同演變。接著進入數位領域，清楚解釋了訊息如何嵌入於圖像、音頻和視頻檔案中，以及這些方法如何被分析、測試，最終被揭露。
在理論與應用之間取得平衡，文本介紹了質量的關鍵指標，如 PSNR 和 MSE，並詳細說明了用於嵌入和檢測隱藏數據的實用技術。對於隱寫分析工具的討論尤其有價值，使讀者對當前方法的優勢和局限性有了扎實的理解。
應用案例來自真實世界的領域——從數位法醫學和網路防禦到安全通信——展示了隱寫術不僅作為一門技術學科的重要性，還作為一項實用技能的價值。作者們也展望未來，調查日益複雜的媒體格式所帶來的挑戰以及未來研究的潛在方向。
作者簡介
Dr. Urmila Pilania is an Associate Professor in the Department of Computer Science and Technology, Manav Rachna University, Faridabad, India. Dr. Pilania earned an engineering degree (BTech in computer science and engineering) in 2007 at Guru Jambheshwar University of Science and Technology, Hisar, Haryana, India. She earned an MTech in computer science and technology in 2009 at Vaish College of Engineering, Rohtak, Haryana, India. Dr. Pilania earned a PhD in computer science and technology in 2021 at Manav Rachna University, Faridabad, India. Her primary research interests are in information security, image processing, machine learning, and artificial intelligence.
Dr. Pilania has published many research papers related to information security, object detection, and classification. She is the author of more than 34 research publications with journals and conferences of repute, and some papers are under review or in press with leading publishers. Dr. Pilania has published three national patents, and one design patent is under examination. She has participated in various workshops and faculty development programs. Dr. Pilania has also been associated with many conferences and journals as a reviewer and a member of their technical committee. She has conducted various special sessions at many reputed conferences. Dr. Pilania has delivered guest lectures at some reputed conferences, and she has chaired many sessions at international conferences. Dr. Pilania is currently guiding three PhD research scholars.
Dr. Manoj Kumar is an Associate Professor in the Department of Computer Science and Technology, Manav Rachna University, Faridabad, India. He has more than 14 years' experience, including academics, industry, and research. He earned a PhD in computer vision in 2022 with a thesis titled "Automatic Detection of Moving Object in a Video for Smart Surveillance System". His areas of expertise include computer vision, artificial intelligence (AI), machine learning, image processing, IoT, and blockchain.
Dr. Kumar has published many research papers related to moving object detection and tracking in videos and also extracts features of moving objects or vehicles from video in real-time video surveillance systems. He has published more than 10 papers in SCIE, SCOPUS, and Web of Science indexed journals. Dr. Kumar has presented more than 20 papers at various Scopus-indexed international conferences, and a few have been published as book chapters. He has published four national patents and participated in various workshops and faculty development programs.
Dr. Kumar has been on the reviewer board of the International Conference on Disruptive Technologies (ICDT-2023), the Fourth International Conference on Advancement in Electronics and Communication Engineering (AECE-2023), etc. He has conducted or chaired various special sessions in many reputed conferences and workshops.
作者簡介(中文翻譯)
烏米拉·皮拉尼亞博士是印度法里達巴德Manav Rachna大學計算機科學與技術系的副教授。皮拉尼亞博士於2007年在印度哈里亞納邦希薩爾的古魯·詹比什瓦爾科學與技術大學獲得計算機科學與工程的工程學位（BTech）。她於2009年在印度哈里亞納邦羅塔克的維希學院獲得計算機科學與技術的碩士學位（MTech）。皮拉尼亞博士於2021年在法里達巴德的Manav Rachna大學獲得計算機科學與技術的博士學位（PhD）。她的主要研究興趣包括資訊安全、影像處理、機器學習和人工智慧。
皮拉尼亞博士已發表多篇與資訊安全、物體檢測和分類相關的研究論文。她是超過34篇在知名期刊和會議上發表的研究出版物的作者，其中一些論文正在主要出版商審核或印刷中。皮拉尼亞博士已獲得三項國家專利，並有一項設計專利正在審查中。她參加了各種研討會和教師發展計劃。皮拉尼亞博士還擔任多個會議和期刊的審稿人及技術委員會成員。她在許多知名會議上主持了各種特別會議。皮拉尼亞博士在一些知名會議上發表了特邀講座，並在國際會議上主持了多個會議。皮拉尼亞博士目前指導三位博士研究生。
馬諾傑·庫馬博士是印度法里達巴德Manav Rachna大學計算機科學與技術系的副教授。他擁有超過14年的經驗，包括學術界、產業和研究。他於2022年獲得計算機視覺的博士學位，論文題目為「智能監控系統中視頻中移動物體的自動檢測」。他的專業領域包括計算機視覺、人工智慧（AI）、機器學習、影像處理、物聯網（IoT）和區塊鏈。
庫馬博士已發表多篇與視頻中移動物體檢測和追蹤相關的研究論文，並且能夠從實時視頻監控系統中提取移動物體或車輛的特徵。他在SCIE、SCOPUS和Web of Science索引的期刊上發表了超過10篇論文。庫馬博士在各種SCOPUS索引的國際會議上發表了超過20篇論文，其中一些已作為書籍章節出版。他已獲得四項國家專利，並參加了各種研討會和教師發展計劃。
庫馬博士曾擔任國際顛覆性技術會議（ICDT-2023）、第四屆電子與通信工程進展國際會議（AECE-2023）等會議的審稿委員。他在許多知名會議和研討會上主持或主辦了各種特別會議。
