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chakraborty r machine learning techniques cloud security 2022

Type:: E-books
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Uploaded On:: Dec. 10, 2021, 9:49 a.m.
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Textbook in PDF format This book covers new methods, surveys, case studies, and policy with almost all machine learning techniques and analytics for cloud security solutions The aim of Machine Learning Techniques and Analytics for Cloud Security is to integrate machine learning approaches to meet various analytical issues in cloud security. Cloud security with ML has long-standing challenges that require methodological and theoretical handling. The conventional cryptography approach is less applied in resource-constrained devices. To solve these issues, the machine learning approach may be effectively used in providing security to the vast growing cloud environment. Machine learning algorithms can also be used to meet various cloud security issues, such as effective intrusion detection systems, zero-knowledge authentication systems, measures for passive attacks, protocols design, privacy system designs, applications, and many more. The book also contains case studies/projects outlining how to implement various security features using machine learning algorithms and analytics on existing cloud-based products in public, private and hybrid cloud respectively. Preface Conceptual Aspects on Cloud and Applications of Machine Learning Hybrid Cloud: A New Paradigm in Cloud Computing Moumita Deb and Abantika Choudhury Recognition of Differentially Expressed Glycan Structure of H1N1 Virus Using Unsupervised Learning Framework Selection of Certain Cancer Mediating Genes Using a Hybrid Model Logistic Regression Supported by Principal Component Analysis (PC-LR) Cloud Security Systems Using Machine Learning Techniques Cost-Effective Voice-Controlled Real-Time Smart Informative Interface Design With Google Assistance Technology Soumen Santra, Partha Mukherjee and Arpan Deyasi Symmetric Key and Artificial Neural Network With Mealy Machine: A Neoteric Model of Cryptosystem for Cloud Security An Efficient Intrusion Detection System on Various Datasets Using Machine Learning Techniques You Are Known by Your Mood: A Text-Based Sentiment Analysis for Cloud Security The State-of-the-Art in Zero-Knowledge Authentication Proof for Cloud A Robust Approach for Effective Spam Detection Using Supervised Learning Techniques An Intelligent System for Securing Network From Intrusion Detection and Prevention of Phishing Attack Using Machine Learning Approaches Cloud Security Analysis Using Machine Learning Techniques Cloud Security Using Honeypot Network and Blockchain: A Review Machine Learning–Based Security in Cloud Database—A Survey Machine Learning Adversarial Attacks: A Survey Beyond Protocols for Cloud Security Case Studies Focused on Cloud Security A Study on Google Cloud Platform (GCP) and Its Security Case Study of Azure and Azure Security Practices Nutanix Hybrid Cloud From Security Perspective Policy Aspects A Data Science Approach Based on User Interactions to Generate Access Control Policies for Large Collections of Documents AI, ML, & Robotics in iSchools: An Academic Analysis for an Intelligent Societal Systems

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chakraborty r machine learning techniques cloud security 2022

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