Data Virtualization 的問題，透過圖書和論文來找解法和答案更準確安心。 我們查出實價登入價格、格局平面圖和買賣資訊

JavaScript: Syntax and Practices

為了解決Data Virtualization 的問題，作者Tomar, Ravi,Dangi, Sarishma 這樣論述：

Dr Ravi Tomar is currently working in the capacity of Assistant Professor (Selection Grade) in the School of Computer Science at the University of Petroleum & Energy Studies, Dehradun, India. He is an experienced academician with a demonstrated history of working in the higher education industry. Sk

illed in Programming, Computer Networking, Stream processing, Python, Oracle Database, C++, Core Java, J2EE, RPA and CorDApp. His research interests include Wireless Sensor Networks, Image Processing, Data Mining and Warehousing, Computer Networks, big data technologies and VANET. He has authored 51

+ papers in different research areas, filled two Indian patent, edited 2 books and have authored 4 books. He has delivered Training to corporates nationally and internationally on Confluent Apache Kafka, Stream Processing, RPA, CordaApp, J2EE and IoT to clients like KeyBank, Accenture, Union Bank of

Philippines, Ernst and Young and Deloitte. Dr Tomar is officially recognized as Instructor for Confluent and CordApp. He has conducted various International conferences in India, France and Nepal. He has been awarded a young researcher in Computer Science and Engineering by RedInno, India in 2018.M

s Sarishma is currently working in the capacity of Assistant Professor in the Computer Science and Engineering department at Graphic Era University, Dehradun, India. She is a Google Cloud Certified Professional Cloud Architect specialized in the area of virtualization and cloud computing. She is a b

right young enthusiast driven towards innovative research work and dedicated to imparting quality education to the higher education industry. She has authored many research papers in recognized journals and has authored a book on Mobile Cloud Computing: Principles and Paradigms. Her research interes

ts include blockchain, virtualization, vehicular ad-hoc networks and live memory forensics. She is currently pursuing her PhD with full rigour.

Advances on Smart and Soft Computing: Proceedings of Icacin 2021

為了解決Data Virtualization 的問題，作者 這樣論述：

Faisal Saeed is Associate Professor at the Information Systems Department, Taibah University, KSA, since 2017. Previously, he worked as Senior Lecturer at the Department of Information Systems, Faculty of Computing, Universiti Teknologi Malaysia (UTM), Malaysia. He received his B.Sc. in Computers (I

nformation Technology) from Cairo University, Egypt, M.Sc. in Information Technology Management and Ph.D. in Computer Science from UTM, Malaysia. He served as General Chair of several international conferences and as Guest Editor in more than 15 scopus and ISI journals. He published more than 80 pap

ers in indexed journals and international conferences. His research interests are data mining, information retrieval and machine learning. Tawfik Al-Hadhrami is Senior Lecturer in Network Infrastructures and Emerging Technologies (NIET) research group at Nottingham Trent University (NTU). He special

izes in designs and developments and evaluation of IoT health and hygiene systems to be used in mental health and well-being applications. His research interests include Internet of Things (IoT) and applications, artificial intelligence (AI), 5G technologies and wireless communications to produce an

intelligent system for health and digital technologies. He has been involved in several projects related to design and development with several organizations in the Middle East. He has published several papers in peer-reviewed journals and conferences. He has established collaboration with the diff

erent international institutions over the world. He is Associate Editor for several decent journals such as IEEE Access, PeerJ Computer Science and International Journal of Cyber Forensics and Advanced Threat Investigations. He is involved in different projects with industries. Errais Mohammed is As

sistant Professor of Computers Science Department at the Hassan II University, Casablanca, Morocco. He received his Ph.D. in Informatics from Hassan II University, Mohammadia, Morroco, in 2014. His research interests are networking, management network, virtualization. He published several research p

apers and participated in several local/international conferences. Mohammed AlSarem received the M.Sc. degree in information technology from the Faculty of Informatics and Computer Engineering, Volgograd State Technical University, Volgograd, Russia Federation, and the Ph.D. degree from the Faculty

of Informatics, University of Hassan II Casablanca-Mohammadia, Morocco, in 2007 and 2014, respectively. He is currently Associate Professor with the Information Systems Department, Taibah University, Medina, Saudi Arabia. He is involved in many funded projects. He has published many papers in severa

l high-impact factor journals and participated in managing several international conferences. His current research interests include group decision making, multi-criteria decision making, data mining, machine learning, E-learning, natural language processing and its applications and social network a

nalysis. He received the Application Award from the University of Tomsk Polytechnic, Tomsk, Russia, Scientific Excellence Award from Yemeni Embassy, Rabat, Morocco, and an appreciation certificate for outstanding performance, Taibah University, Saudi Arabia, in 2007, 2013 and 2016, respectively.

運用機器學習強化網路攻擊偵測之研究

為了解決Data Virtualization 的問題，作者徐家銘 這樣論述：

數位時代驅動科技快速發展，同時也帶來網路新型態威脅。後疫情時代帶來工作型態的改變，更將世界數位轉型浪潮推至最高，網路威脅趨勢亦加速攀升。以近年快速發展的勒索軟體威脅為例，黑色產業鏈的成熟與勒索軟體即服務（Ransomware-as-a-Service，RaaS）犯罪模式的出現，使得過去需要高深技術的網路攻擊，現在只要透過購買服務，就有完整工具與教學。任何人都可以是駭客。傳統資安防禦形式已面臨巨大挑戰；而近年興起的機器學習技術，則為網路攻擊偵測問題提供另一解決之道。本論文首先深入研究網路攻擊本質，釐清問題核心，透過分析現行網路攻擊流程，將原有7個步驟重新定義為3個關鍵偵測點，並探討各關鍵偵測點

所用技術與原理；接續，提出可行之機器學習偵測模型並實作驗證，我們參考過去網路攻擊偵測的相關研究，針對3個關鍵偵測點分別運用現行網路資源與建立仿真模擬環境，收集資料集，並選擇合適偵測模型進行實驗，實驗結果顯示所提出之模型均有不錯的偵測率。本研究主要貢獻在於結合實務經驗，分析完整網路攻擊全貌與問題本質，歸納定義攻擊流程關鍵偵測點，並找出可行之機器學習解決方案，論文最後亦針對3個關鍵偵測點分別提出未來研究建議，以協助完善網路攻擊偵測研究能量。