Trust, Security and Privacy for Big Data
暫譯: 大數據的信任、安全性與隱私

Alazab, Mamoun, Gupta, Maanak

Trust, Security and Privacy for Big Data
  • 出版商: CRC
  • 出版日期: 2022-06-30
  • 售價: $6,820
  • 貴賓價: 9.5 折 $6,479
  • 語言: 英文
  • 頁數: 204
  • 裝訂: Hardcover - also called cloth, retail trade, or trade
  • ISBN: 103204750X
  • ISBN-13: 9781032047508
  • 相關分類: 大數據 Big-data、資訊安全

    • 海外代購書籍(需單獨結帳)

商品描述

Data has revolutionized the digital ecosystem. Readily available large datasets foster AI and machine learning automated solutions. The data generated from diverse and varied sources including IoT, social platforms, healthcare, system logs, bio-informatics, etc. contribute to and define the ethos of Big Data which is volume, velocity and variety. Data lakes formed by the amalgamation of data from these sources requires powerful, scalable and resilient storage and processing platforms to reveal the true value hidden inside this data mine. Data formats and its collection from various sources not only introduce unprecedented challenges to different domains including IoT, manufacturing, smart cars, power grids etc., but also highlight the security and privacy issues in this age of big data. Security and privacy in big data is facing many challenges, such as generative adversary networks, efficient encryption and decryption algorithms, encrypted information retrieval, attribute-based encryption, attacks on availability, and reliability. Providing security and privacy for big data storage, transmission, and processing have been attracting much attention in all big data related areas.

The book provides timely and comprehensive information for researchers and industry partners in communications and networking domains to review the latest results in security and privacy related work of Big Data. It will serve computer science and cybersecurity communities including researchers, academicians, students, and practitioners who have interest in big data trust privacy and security aspects. It is a comprehensive work on the most recent developments in security of datasets from varied sources including IoT, cyber physical domains, big data architectures, studies for trustworthy computing, and approaches for distributed systems and big data security solutions etc.

商品描述(中文翻譯)

資料已經徹底改變了數位生態系統。隨時可用的大型數據集促進了人工智慧（AI）和機器學習的自動化解決方案。來自物聯網（IoT）、社交平台、醫療保健、系統日誌、生物資訊學等多樣化來源所產生的數據，貢獻並定義了大數據的精神，即數據的體量（volume）、速度（velocity）和多樣性（variety）。由這些來源的數據合併形成的數據湖，需要強大、可擴展且具韌性的儲存和處理平台，以揭示這個數據礦藏中隱藏的真正價值。來自各種來源的數據格式及其收集，不僅為物聯網、製造業、智慧汽車、電力網等不同領域帶來前所未有的挑戰，還突顯了在這個大數據時代的安全性和隱私問題。大數據中的安全性和隱私面臨許多挑戰，例如生成對抗網絡（generative adversary networks）、高效的加密和解密算法、加密信息檢索、基於屬性的加密、可用性和可靠性的攻擊等。為大數據的儲存、傳輸和處理提供安全性和隱私性，已在所有與大數據相關的領域中引起了廣泛關注。

本書為通訊和網絡領域的研究人員和產業夥伴提供了及時且全面的信息，以回顧大數據安全和隱私相關工作的最新成果。它將服務於計算機科學和網絡安全社群，包括對大數據信任、隱私和安全方面感興趣的研究人員、學者、學生和實務工作者。這是一部關於來自多樣來源（包括物聯網、網絡物理領域、大數據架構、可信計算研究以及分散式系統和大數據安全解決方案等）數據集安全性最新發展的綜合性著作。

作者簡介

Mamoun Alazab is an associate professor at the College of Engineering, IT and Environment at Charles Darwin University, Australia. He received his Ph.D. degree in Computer Science from the Federation University of Australia, School of Science, Information Technology and Engineering. He is a cybersecurity researcher and practitioner with industry and academic experience. Alazab's research is multidisciplinary that focuses on cybersecurity and digital forensics of computer systems with a focus on cybercrime detection and prevention. He has more than 150 research papers in many international journals and conferences. He works closely with government and industry on many projects, including Northern Territory (NT) Department of Information and Corporate Services, IBM, Trend Micro, the Australian Federal Police (AFP), the Australian Communications and Media Authority (ACMA), Westpac, United Nations Office on Drugs and Crime (UNODC), and the Attorney General's Department. He is a senior member of the IEEE. He is the founding chair of the IEEE Northern Territory (NT) Subsection.

Maanak Gupta is an assistant professor in Department of Computer Science at Tennessee Tech University, USA. He received his Ph.D. in Computer Science from the University of Texas at San Antonio and has worked as a postdoctoral research fellow at the Institute for Cyber Security. He also holds an M.S. degree in Information Systems from Northeastern University, Boston. His primary area of research includes security and privacy in cyber space focused in studying foundational aspects of access control and their application in technologies including cyber physical systems, cloud computing, IoT and Big data. Dr Gupta has worked in developing novel security mechanisms, models and architectures for next generation smart cars, smart cities, intelligent transportation systems and smart farming. He is also interested in machine learning based malware analysis and AI assisted cyber security solutions. His scholarly work is regularly published at top peer-reviewed security venues including ACM SIGSAC conferences and refereed journals. His research has been funded by the US National Science Foundation (NSF), NASA, US Department of Defense (DoD) and private industry. He is also the co-founder and co-chair of SMARTFARM-2020 and SaT-CPS 2021 workshops. In addition, he is a reviewer for several journals and conferences.

作者簡介(中文翻譯)

Mamoun Alazab 是澳洲查爾斯達爾文大學工程、資訊科技與環境學院的副教授。他在澳洲聯邦大學的科學、資訊科技與工程學院獲得計算機科學博士學位。他是一位擁有產業和學術經驗的網路安全研究者和實務者。Alazab 的研究是多學科的，專注於計算機系統的網路安全和數位取證，特別是網路犯罪的偵測和預防。他在許多國際期刊和會議上發表了超過 150 篇研究論文。他與政府和產業密切合作，參與多個項目，包括北領地 (NT) 資訊與企業服務部、IBM、趨勢科技、澳洲聯邦警察 (AFP)、澳洲通訊與媒體管理局 (ACMA)、西太平洋銀行、聯合國毒品和犯罪辦公室 (UNODC) 以及檢察總長部。他是 IEEE 的高級會員，也是 IEEE 北領地 (NT) 分會的創始主席。

Maanak Gupta 是美國田納西科技大學計算機科學系的助理教授。他在德克薩斯州聖安東尼奧大學獲得計算機科學博士學位，並曾在網路安全研究所擔任博士後研究員。他還擁有波士頓東北大學的資訊系統碩士學位。他的主要研究領域包括網路空間中的安全性和隱私，專注於研究存取控制的基礎方面及其在包括網路物理系統、雲計算、物聯網和大數據等技術中的應用。Gupta 博士致力於為下一代智慧汽車、智慧城市、智慧交通系統和智慧農業開發新穎的安全機制、模型和架構。他也對基於機器學習的惡意軟體分析和 AI 輔助的網路安全解決方案感興趣。他的學術作品定期發表於頂尖的同行評審安全會議，包括 ACM SIGSAC 會議和經過審核的期刊。他的研究得到了美國國家科學基金會 (NSF)、NASA、美國國防部 (DoD) 和私營產業的資助。他也是 SMARTFARM-2020 和 SaT-CPS 2021 研討會的共同創辦人和共同主席。此外，他還擔任多個期刊和會議的審稿人。

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