Security Framework for the Internet of Things Applications
Hamad, Salma Abdalla, Sheng, Quan Z., Zhang, Wei Emma
相關主題
商品描述
The text highlights a comprehensive survey that focuses on all security aspects and challenges facing the Internet of Things systems, including outsourcing techniques for partial computations on edge or cloud while presenting case studies to map security challenges. It further covers three security aspects including Internet of Things device identification and authentication, network traffic intrusion detection, and executable malware files detection.
This book:
- Presents a security framework model design named Behavioral Network Traffic Identification and Novelty Anomaly Detection for the IoT Infrastructures
- Highlights recent advancements in machine learning, deep learning, and networking standards to boost Internet of Things security
- Builds a near real-time solution for identifying Internet of Things devices connecting to a network using their network traffic traces and providing them with sufficient access privileges
- Develops a robust framework for detecting IoT anomalous network traffic
- Covers an anti-malware solution for detecting malware targeting embedded devices
It will serve as an ideal text for senior undergraduate and graduate students, and professionals in the fields of electrical engineering, electronics and communication engineering, computer engineering, and information technology.
商品描述(中文翻譯)
本書重點介紹了一項全面調查，關注物聯網系統面臨的所有安全方面和挑戰，包括在邊緣或雲端上進行部分計算的外包技術，同時提供案例研究以解決安全挑戰。它進一步涵蓋了三個安全方面，包括物聯網設備識別和身份驗證、網絡流量入侵檢測以及可執行惡意軟件文件檢測。
本書具有以下特點：
- 提出了一個名為行為網絡流量識別和新奇異態檢測的物聯網基礎設施安全框架模型設計。
- 強調了機器學習、深度學習和網絡標準的最新進展，以提升物聯網安全性。
- 構建了一個幾乎實時的解決方案，用於通過網絡流量跟踪識別連接到網絡的物聯網設備，並為它們提供足夠的訪問權限。
- 開發了一個強大的框架，用於檢測物聯網異常網絡流量。
- 包括一個用於檢測針對嵌入式設備的惡意軟件的防毒解決方案。
本書將成為高年級本科生、研究生以及電氣工程、電子與通信工程、計算機工程和信息技術領域的專業人士的理想教材。
作者簡介
Salma Abdalla Hamad is currently a Senior Technology Security Compliance Manager at a telecommunication firm.. She received a Ph.D. degree in Computer Science from Macquarie University, Sydney, Australia in 2021. She worked under the supervision of Professor Michael Sheng and Dr. Wei Emma Zhang. Salma obtained her bachelor's and master's degrees in Electronics and Communication Engineering from the Arab Academy for Science, Technology, and Maritime Transport, Egypt with distinctions in 2005 and 2009, respectively. Salma also possesses more than 19 years of working experience in both the government sector and the financial sector, where she executed several projects pertinent to Information Security. Her research interests are concentrated in the domain of Information Security, more specifically, for the Internet of Things, Smart Cities, and Smart Homes.
Quan Z. Sheng is a full Professor and Head of the Department of Computing at Macquarie University, Sydney, Australia. His research interests include the Internet of Things, service-oriented computing, distributed computing, Internet computing, and pervasive computing. Professor Sheng holds a Ph.D. degree in Computer Science from the University of New South Wales (UNSW) and did his post-doc as a research scientist at CSIRO ICT Centre. Professor Sheng is the recipient of the AMiner Most Influential Scholar in IoT Award in 2019, the ARC Future Fellowship in 2014, the Chris Wallace Award for Outstanding Research Contribution in 2012, and a Microsoft fellowship in 2003.
Wei Emma Zhang is currently a Lecturer in the School of Computer Science, at the University of Adelaide. Her research interests include the Internet of Things, text mining, data mining, and knowledge base. She received a Ph.D. degree in Computer Science from the University of Adelaide in 2017. She has authored and co-authored more than 50 papers. She has also served on various conference committees and international journals in different roles such as track chair, proceeding chair, PC member, and reviewer. She is a member of the IEEE and ACM.
作者簡介(中文翻譯)
Salma Abdalla Hamad目前是一家電信公司的高級技術安全合規經理。她於2021年在澳大利亞悉尼的麥覺理大學獲得計算機科學博士學位，並在Michael Sheng教授和Wei Emma Zhang博士的指導下進行研究。Salma於2005年和2009年分別在埃及的阿拉伯科學技術和海事運輸學院獲得電子與通信工程學士和碩士學位，並獲得優異成績。Salma在政府部門和金融部門擁有超過19年的工作經驗，曾執行多個與信息安全相關的項目。她的研究興趣集中在信息安全領域，尤其是物聯網、智慧城市和智慧家居。
Quan Z. Sheng是澳大利亞悉尼麥覺理大學計算機系的教授和系主任。他的研究興趣包括物聯網、服務導向計算、分布式計算、互聯網計算和普遍計算。Sheng教授擁有新南威爾士大學（UNSW）的計算機科學博士學位，並在CSIRO ICT Centre擔任研究科學家的博士後研究。他於2019年獲得AMiner物聯網最具影響力學者獎、2014年獲得ARC未來學者獎、2012年獲得Chris Wallace傑出研究貢獻獎和2003年獲得微軟獎學金。
Wei Emma Zhang目前是阿德萊德大學計算機科學學院的講師。她的研究興趣包括物聯網、文本挖掘、數據挖掘和知識庫。她於2017年在阿德萊德大學獲得計算機科學博士學位，並撰寫和合著了50多篇論文。她還擔任過各種會議委員會和國際期刊的不同角色，如軌道主席、會議主席、PC成員和審稿人。她是IEEE和ACM的成員。
