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Machine Learning Techniques and Analytics for Cloud Security, Chakraborty Rajdeep, Ghosh Anupam, Mandal Jyotsna Kumar


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Автор: Chakraborty Rajdeep, Ghosh Anupam, Mandal Jyotsna Kumar
Название:  Machine Learning Techniques and Analytics for Cloud Security
ISBN: 9781119762256
Издательство: Wiley
Классификация:

ISBN-10: 1119762251
Обложка/Формат: Hardcover
Страницы: 480
Вес: 0.99 кг.
Дата издания: 21.12.2021
Серия: Advances in learning analytics for intelligent cloud-iot systems
Язык: English
Размер: 26.92 x 18.54 x 3.30 cm
Читательская аудитория: Professional & vocational
Ссылка на Издательство: Link
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Поставляется из: Англии
Описание: MACHINE LEARNING TECHNIQUES AND ANALYTICS FOR CLOUD SECURITY

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.

Audience

Research scholars and industry engineers in computer sciences, electrical and electronics engineering, machine learning, computer security, information technology, and cryptography.


Machine Learning with Spark and Python: Essential Techniques for Predictive Analytics

Автор: Michael Bowles
Название: Machine Learning with Spark and Python: Essential Techniques for Predictive Analytics
ISBN: 1119561930 ISBN-13(EAN): 9781119561934
Издательство: Wiley
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Цена: 40120.00 T
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Описание: Cambridge for DGB 2nd Edition is a four-level American English integrated skills series for the Upper Secondary public school market in Mexico. Its syllabus is strictly aligned to the national Direccion General del Bachillerato program. It is a series that offers teachers a hands-on and practical solution to teaching English in the classroom. It builds students` language skills from A1 to A2+ in the CEFR.

Deep Learning Techniques and Optimization Strategies in Big Data Analytics

Автор: J. Joshua Thomas, Pinar Karagoz, B. Bazeer Ahamed,
Название: Deep Learning Techniques and Optimization Strategies in Big Data Analytics
ISBN: 1799811921 ISBN-13(EAN): 9781799811923
Издательство: Mare Nostrum (Eurospan)
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Цена: 239310.00 T
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Описание: Many approaches have sprouted from artificial intelligence (AI) and produced major breakthroughs in the computer science and engineering industries. Deep learning is a method that is transforming the world of data and analytics. Optimization of this new approach is still unclear, however, and there's a need for research on the various applications and techniques of deep learning in the field of computing. Deep Learning Techniques and Optimization Strategies in Big Data Analytics is a collection of innovative research on the methods and applications of deep learning strategies in the fields of computer science and information systems. While highlighting topics including data integration, computational modeling, and scheduling systems, this book is ideally designed for engineers, IT specialists, data analysts, data scientists, engineers, researchers, academicians, and students seeking current research on deep learning methods and its application in the digital industry.

Deep Learning Techniques and Optimization Strategies in Big Data Analytics

Автор: J. Joshua Thomas, Pinar Karagoz, B. Bazeer Ahamed, Pandian Vasant
Название: Deep Learning Techniques and Optimization Strategies in Big Data Analytics
ISBN: 179981193X ISBN-13(EAN): 9781799811930
Издательство: Mare Nostrum (Eurospan)
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Цена: 180180.00 T
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Описание: Many approaches have sprouted from artificial intelligence (AI) and produced major breakthroughs in the computer science and engineering industries. Deep learning is a method that is transforming the world of data and analytics. Optimization of this new approach is still unclear, however, and there's a need for research on the various applications and techniques of deep learning in the field of computing. Deep Learning Techniques and Optimization Strategies in Big Data Analytics is a collection of innovative research on the methods and applications of deep learning strategies in the fields of computer science and information systems. While highlighting topics including data integration, computational modeling, and scheduling systems, this book is ideally designed for engineers, IT specialists, data analysts, data scientists, engineers, researchers, academicians, and students seeking current research on deep learning methods and its application in the digital industry.

The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy: SPIoT-2021 Volume 1

Автор: Macintyre John, Zhao Jinghua, Ma Xiaomeng
Название: The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy: SPIoT-2021 Volume 1
ISBN: 3030895076 ISBN-13(EAN): 9783030895075
Издательство: Springer
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Цена: 204970.00 T
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Описание: Application of Artificial Intelligence in Arrangement Creation.- Automatic Segmentation for Retinal Vessel Using Concatenate UNet++.- Experimental Analysis of Mandarin Tone Pronunciation of Tibetan College Students for Artificial Intelligence Speech Recognition.- Exploration of Paths for Artificial Intelligence Technology to Promote Economic Development.- Influence of RPA Financial Robot on Financial Accounting and its Countermeasures.- Application of Artificial Intelligence Technology in English Online Learning Platform.- Spectral Identification Model of NIR Origin Based on Deep Extreme Learning Machine.- Frontier Application and Development Trend of Artificial Intelligence in New Media in the AI Era.- Analysis on the Application of Machine Learning Stock Selection Algorithm in the Financial Field.- Default Risk Prediction Based on Machine Learning under Big Data Analysis Technology.- Application of Intelligent Detection Technology and Machine Learning Algorithm in Music Intelligent System.- Application of 3D Computer Aided System in Dance Creation and Learning.- Data Selection and Machine Learning Algorithm Application under the Background of Big Data.

Intelligent Data Analytics for Terror Threat Prediction: Architectures, Methodologies, Techniques, and Applications

Автор: Pani Subhendu Kumar, Singh Sanjay Kumar, Garg Lalit
Название: Intelligent Data Analytics for Terror Threat Prediction: Architectures, Methodologies, Techniques, and Applications
ISBN: 1119711096 ISBN-13(EAN): 9781119711094
Издательство: Wiley
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Цена: 193190.00 T
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Описание: For centuries people have recognised the importance of language in creating and applying law. This edited volume shows scholars and students how modern linguistics and related fields contribute to understanding the role language plays, and what follows from viewing law`s power as a matter of situated communication in specific social relations rather than an abstract system of rules.

Monitoring, Security, and Rescue Techniques in Multi-Agent Systems

Автор: Szczuka, Marcin
Название: Monitoring, Security, and Rescue Techniques in Multi-Agent Systems
ISBN: 3540232451 ISBN-13(EAN): 9783540232452
Издательство: Springer
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Цена: 353110.00 T
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Описание: In today's society the issue of security has become a crucial one. The use of knowledge-based technology in security applications emerges with important applications in monitoring, control, crisis, and rescue management. This volume contains extended and improved versions of selected contributions presented at the International Workshop "Monitoring, Security and Rescue Techniques in Multiagent Systems" (MSRAS 2004) held in Plock, Poland, June 7-9, 2004, bringing together the world's leading researchers in the field.

Machine Learning for Intelligent Multimedia Analytics: Techniques and Applications

Автор: Kumar Pardeep, Singh Amit Kumar
Название: Machine Learning for Intelligent Multimedia Analytics: Techniques and Applications
ISBN: 9811594945 ISBN-13(EAN): 9789811594946
Издательство: Springer
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Цена: 158380.00 T
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Описание: Chapter 1. Secure Multimodal Access with 2D and 3D Ears.- Chapter 2. Efficient and Low Overhead Detection of Brain Diseases using Deep Learning based Sparse MRI Image Classification.- Chapter 3. Continual Deep Learning Framework for Medical Media Screening and Archival.- Chapter 4. KannadaRes-NeXt: a Deep Residual Network for Kannada Numeral Recognition.- Chapter 5. Secure Image Transmission in Wireless Network using Conventional Neural Network and DOST.- Chapter 6. Robust General Twin Support Vector Machine with Pinball Loss Function.- Chapter 7. Noise Resilient Thresholding based on Fuzzy Logic and Non-linear Filtering.- Chapter 8. Deep Learning Methods for Audio Events Detection.- Chapter 9. A Framework for Multi-lingual Scene Text Detection using K-means++ and Memetic Algorithms.- Chapter 10. Recent Advancements in Medical Imaging: A Machine Learning Approach.- Chapter 11. Solving Image Processing Critical Problems using Machine Learning.- Chapter 12. Spoken Language Identification of Indian Languages using MFCC Features.- Chapter 13. Performance Evaluation of One-Class Classifiers (OCC) for Damage Detection in Structural Health Monitoring.- Chapter 14. Brain Tumor Classification in MRI Images using Transfer Learning.- Chapter 15. Semantic based Vectorization Technique for Hindi Language.

The 2020 International Conference on Machine Learning and Big Data Analytics for Iot Security and Privacy: Spiot-2020, Volume 2

Автор: Macintyre John, Zhao Jinghua, Ma Xiaomeng
Название: The 2020 International Conference on Machine Learning and Big Data Analytics for Iot Security and Privacy: Spiot-2020, Volume 2
ISBN: 3030627454 ISBN-13(EAN): 9783030627454
Издательство: Springer
Цена: 186330.00 T
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Описание:

Session 5: Data-driven co-design of communication, computing and control for IoT security

Design of a Force Balance Geophone Utilizing Bandwidth Extension and Data Acquisition Interface

Application of 3ds Max Technology in Archaeology

The Application of Virtual Reality Technology in ESP Teaching

Application of Simulation Method Based on Computer Bionic Design

The Implementation and Application of Computer Simulation Technology in PE Teaching

Construction of College Communities in the New Media Based on Network Environment

Political and Ideological Personnel Management Mode Based on Computer Network

Analysis of Mapping Knowledge Domain on Health and Wellness Tourism in the Perspective of Cite Space

Application of Smart Retail Mode in Suning.Com

Construction and Development of High-tech Smart City

Design and Implementation of Self-Service Tourism Management Information System Based on B/S Architecture

Chinese Culture Penetration in Teaching Chinese as a Foreign Language in the Era of Mobile Internet

Application and Outlook of Digital Media Technology in Smart Tourism

Accounting Informationization in Computer Network Environment

Mobile Phone GPS and Sensor Technology in College Students' Extracurricular Exercises

Design of Networking Network Model Based on Network Function Virtualization Technology

Intelligent Media Technology Empowered Brand Communication of Chinese Intangible Cultural Heritage

Construction Strategy of Smart English Teaching Platform from the Perspective of "Internet + Education"

Online Writing Effectiveness under the Blended Teaching Mode of Moscotech APP

A Narrative Environment Model for the Sustainability of Intangible Cultural Heritage under the 5G Era

Application Study of VPN on the Network of Hydropower Plant

Prediction of Technology Trend of Educational Robot Industry Based On Patent Map Analysis

Coal Handling System of Power Plant Based On PLC

Discussion on the Construction of Wireless Campus Network Based On SDN Architecture

Applicational Status Analysis of Artificial Intelligence Technology in Middle School Education and Teaching

Virtual Enterprise Partner Selection by Improved Analytic Hierarchy Process with Entropy Weight and Range Method

Research and implementation of Intelligent Tourism Guide System Based on cloud computing platform

Analysis of financial needs of new agricultural operators based on K-means clustering algorithm

Research on the application of virtual network technology in computer network security

Application of Bionics in Underwater Acoustic Covert Communication

Energy-saving and efficient underwater wireless sensor network security data aggregation model

False Data Filtering in Underwater Wireless Sensor Networks

Research on Underwater Bionic Covert Communication

Session 6: Authentication and access control for data usage in IoT

The Application of Virtual Reality Technology in Architectural Design

Computer-assisted Teaching and Cultivate Students' Innovative Thinking Ability

The Reform Progress and Practical Difficulties of State-owned Hospitals under Information Age―Case Analysis Based on the Reform in a Medical Institution of A Group in China

Financing Efficiency of SMEs in New Third Board Market in the Information Times

Application of Virtual Instrument Technology in Electronic Course Teaching

A Solution for Internet of Things based on Blockchain and Edge Computer

Discovery and Advice of Free Charging of Electronic Devices

Design and Implementation of Tourism Information Management System Based on .NET

A Computer Model for Decision of Equipment Maintenance Spare Parts Reserve

Risk Level Determination of Science a

The 2020 International Conference on Machine Learning and Big Data Analytics for Iot Security and Privacy: Spiot-2020, Volume 1

Автор: Macintyre John, Zhao Jinghua, Ma Xiaomeng
Название: The 2020 International Conference on Machine Learning and Big Data Analytics for Iot Security and Privacy: Spiot-2020, Volume 1
ISBN: 303062742X ISBN-13(EAN): 9783030627423
Издательство: Springer
Цена: 186330.00 T
Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:

Session 1: Novel machine learning methods for IoT security

The Innovation of UI Design Courses in Higher Vocational Colleges Based on the Internet Perspective

Predicting the Getting-on and Getting-off Points Based on the Trafic Big Data

The Prediction analysis of Passengers Boarding and Alighting Points Based on the Big Data of Urban Traffic

Verifiable Random Number Based on B-Spline Curve

An Improved Particle Swarm Optimization Algorithm Based on DFC&HRS

Application and Practice of ID3 Algorithms in College Students' Education

Construction of Human Knee Joint Mechanics Model and Study on Mechanical Characteristics of Flexion movement based on neural network algorithm

Application of Artificial Intelligence Technology in Physical Fitness Test of College Students

Theoretical Research on College Students' Professional Literacy Design Based on Deep Learning

Artificial Intelligence is the Technical Guarantee of Network Security

Intelligent Question Answering System of Medical Knowledge Map Based on Deep Learning

Construction and Practice of Red Teaching Resources Based on Machine Learning

Reasonable Approach and Development Trend of Artificial Intelligence Sports Development

Returnee Migrant Workers' Entrepreneurship Based on Artificial Intelligence

Improvement of College Teachers' Teaching Ability under the Background of the Development of Artificial Intelligence Platform

Influence Factors of Using Modern Teaching Technology in the Classroom of Junior Middle School Teachers under the Background of Artificial Intelligence--Analysis Based on HLM

Analysis and Design of Personalized Learning System Based on Decision Tree Technology

Deep Learning Classification and Recognition Model Construction of Face Living Image Based on Multi-Feature Fusion

A Prediction Method of Blood Glucose Concentration Based On Nonlinear Auto-Regressive Model

Signal Processing Based On Machine Learning Optical Communication

Refined Management of Installation Engineering Cost based on Artificial Intelligence Technology

Application of Artificial Intelligence Technology in International Trade Finance

An Improved Genetic Algorithm for Vehicle Routing Problem

A Machine-Learning Based Store Layout Strategy in Shopping Mall

Risk Analysis in Online Peer-to-Peer Loaning Based on Machine Learning: A Decision Tree Implementation on PPDai.com

The Application of BP Neural Network in the Opioid Crisis

Design of Personalized Intelligent Learning Assistant System under Artificial Intelligence Background

Application of Artificial Intelligence in Intelligent Decision-making of Human Resource Allocation

Research on Early Warning of Security Risk of Hazardous Chemicals Storage Based on BP-PSO

The Application of Artificial Intelligence and Machine Learning in Financial Stability

Application of alternative routing configuration mechanism based on Genetic Algorithm in power communication network

Safety Situation Assessment of Underwater Nodes based on BP Neural Network

Session 2: Big data analytics for IoT security

The Innovation of College Counsellor's Work Based On Big Data Analysis

Analysis of India's Big Data Industry

The Application of Computer Virtual Technology in Modern Sports Training

The Research on the Development and Utilization of Hospital Archive Information in the Big Data Era

Integration and Optimization of College English Teaching Information Resources in the Context of Big Data

Discussion on the Training of Cross-border E-commerce Application Talents Based on the Internet Era

Level of Technology Innovation Development and Promotion Strategies of High Technology Industry in Hubei Province Based on Smart City

Wisdom Medi

The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy: SPIoT-2021 Volume 2

Автор: Macintyre John, Zhao Jinghua, Ma Xiaomeng
Название: The 2021 International Conference on Machine Learning and Big Data Analytics for IoT Security and Privacy: SPIoT-2021 Volume 2
ISBN: 3030895106 ISBN-13(EAN): 9783030895105
Издательство: Springer
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Цена: 204970.00 T
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Описание: Analysis of Sentiment Tendency of Tourists' Comments Based on Text Mining.- Analysis of Smart City Construction Based on 5G Data Technology.- Prediction of Stock Price Based on Artificial Intelligence Algorithm.- Variation Translation Strategy System of Intangible Cultural Heritage Based on Data Mining.- A Computer-aided Comparative Study on Grammatical Cohesion in Abstracts of Sci-tech Journal Papers by Chinese and American Scholars.- Computer Graphics and Image Software in Advertising Design.- Design and Research of Production Information Management System for Project Based Mechanical Manufacturing Enterprises.- Impact of Computer Network Technology on Regional Economic Development.- Chaos Algorithm of Electrical Control System Based on Neural Network Technology.- Pulse Signal Acquisition System Based on Match Pursuit Algorithm.- Data Analysis of Power System Engineering Construction Based on PPSO Algorithm.- Reactive Optimization of Power System Based on K-means Algorithm.- Design and Structure Analysis of Manipulator based on Acceleration Sensor.- Discussion on Decision Tree Algorithm in University Teaching Management System.


Machine Learning Approach for Cloud Data Analytics in Iot

Автор: Mohanty Sachi Nandan, Chatterjee Jyotir Moy, Mangla Monika
Название: Machine Learning Approach for Cloud Data Analytics in Iot
ISBN: 1119785804 ISBN-13(EAN): 9781119785804
Издательство: Wiley
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Цена: 198470.00 T
Наличие на складе: Поставка под заказ.
Описание: Im Zeitalter des Internet of Things (IoT) erzeugen Edge-Gerдte in jedem Sekundenbruchteil gigantische Datenmengen. Dabei besteht das Hauptziel dieser Netzwerke darin, aus den gesammelten Daten sinnvolle Informationen abzuleiten. Gleichzeitig werden gewaltige Datenmengen in die Cloud Г1/4bertragen, was extrem teuer und zeitaufwдndig ist. Es ist somit notwendig, effiziente Mechanismen fГ1/4r die Verarbeitung dieser gewaltigen Datenmengen zu entwickeln, und dafГ1/4r sind effiziente Datenverarbeitungstechniken erforderlich. Nachhaltige Paradigmen wie Cloud Computing und Fog Computing tragen zu einem geschickten Umgang mit Themen wie Leistung, Speicher- und Verarbeitungskapazitдten, Wartung, Sicherheit, Effizienz, Integration, Kosten, Energieverbrauch und Latenzzeiten bei. Allerdings werden ausgefeilte Analysetools benцtigt, um die Anfragen in einer optimalen Zeit zu bearbeiten. Daher wird derzeit eifrig an der Entwicklung eines effektiven und effizienten Rahmens geforscht, um den grцГŸtmцglichen Nutzen zu erhalten.

Bei der Verarbeitung der gewaltigen Datenmengen steht das maschinelle Lernen besonders hoch im Kurs und wird in zahlreichen Disziplinen angewandt, auch in den sozialen Medien.

In Machine Learning Approach for Cloud Data Analytics in IoT werden sдmtliche Aspekte des IoT, des Cloud Computing und der Datenanalyse ausfГ1/4hrlich erlдutert und aus verschiedenen Perspektiven betrachtet. Das Buch prдsentiert den neuesten Stand der Forschung und fortschrittliche Themen. So erhalten die Leserinnen und Leser aktuelle Informationen und kцnnen das gesamte Spektrum der Anwendungen von IoT, Cloud Computing und Datenanalyse erfassen.

Statistical Modelling and Machine Learning Principles for Bioinformatics Techniques, Tools, and Applications

Автор: Srinivasa K. G., Siddesh G. M., Manisekhar S. R.
Название: Statistical Modelling and Machine Learning Principles for Bioinformatics Techniques, Tools, and Applications
ISBN: 9811524440 ISBN-13(EAN): 9789811524448
Издательство: Springer
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Цена: 167700.00 T
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Описание: This book discusses topics related to bioinformatics, statistics, and machine learning, presenting the latest research in various areas of bioinformatics.


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