Pehcevski Security of Cloud-based systems

Erscheinungsjahr 2020
ISBN: 978-1-77407-980-5
Verlag: Arcler Press
Format: PDF
Kopierschutz: Adobe DRM (»Systemvoraussetzungen)

E-Book, Englisch, 431 Seiten, Electronic book text, Format (B × H): 152 mm x 229 mm

This edition covers different topics from security of cloud-based systems, including: threats detection in cloud environments, frameworks for cloud security, enhancing the security in the cloud systems, and the case studies. Section 1 focuses on threats detection in cloud environments, describing analysis of security threats to virtual machines monitor in cloud computing environment; a review of anomaly detection systems in cloud networks and survey of cloud security measures in cloud storage applications; a survey of cloud computing detection techniques against DDoS attacks; and generation of labelled datasets to quantify the impact of security threats to cloud data centers. Section 2 focuses on frameworks for cloud security, describing a comprehensive security framework of cloud data storage based on multi agent system architecture; control framework for secure cloud computing; security model for preserving privacy over encrypted cloud computing; trusted heartbeat framework for cloud computing; and education technology cloud platform framework establishment and security. Section 3 focuses on enhancing the security in the cloud systems, describing design and development of a novel symmetric algorithm for enhancing data security in cloud computing; enhancing mobile cloud computing security using steganography; data security of mobile cloud computing on cloud server; new proposed robust, scalable and secure network cloud computing storage architecture; and survey on public key cryptography scheme for securing data in cloud computing. Section 4 focuses on case studies, describing cloud security: services, risks, and a case study on amazon cloud services; quick survey on cloud computing and associated security, mobility and IoT issues; block level data integrity assurance using matrix dialing method towards high performance data security on cloud storage; current status of the use of cloud computing in SME-s in the city of Latacunga, Ecuador.

Autoren/Hrsg.

Pehcevski, Jovan

Fachgebiete

• Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung Client-Server Netzwerke
• Mathematik | Informatik EDV | Informatik Technische Informatik Computersicherheit

Inhaltsverzeichnis

- SECTION 1 THREATS DETECTION IN CLOUD ENVIRONMENTS
- Chapter 1: Analyzing Security Threats to Virtual Machines Monitor in Cloud Computing Environment
- Chapter 2: A Review of Anomaly Detection Systems in Cloud Networks and Survey of Cloud Security Measures in Cloud Storage Applications
- Chapter 3: A Survey of Cloud Computing Detection Techniques against DDoS Attacks
- Chapter 4: Generation of Labelled Datasets to Quantify the Impact of Security Threats to Cloud Data CentersSECTION 2 FRAMEWORKS FOR CLOUD SECURITY
- Chapter 5: Towards a Comprehensive Security Framework of Cloud Data Storage Based on Multi Agent System Architecture
- Chapter 6: Control Framework for Secure Cloud Computing
- Chapter 7: Security Model for Preserving Privacy over Encrypted Cloud Computing
- Chapter 8: Trusted Heartbeat Framework for Cloud Computing
- Chapter 9: Education Technology Cloud Platform Framework Establishment and SecuritySECTION 3 ENHANCING SECURITY IN THE CLOUD
- Chapter 10: Design and Development of a Novel Symmetric Algorithm for Enhancing Data Security in Cloud Computing
- Chapter 11: Enhancing Mobile Cloud Computing Security Using Steganography
- Chapter 12: Data Security of Mobile Cloud Computing on Cloud Server
- Chapter 13: New Proposed Robust, Scalable and Secure Network Cloud Computing Storage Architecture
- Chapter 14: Survey on Public Key Cryptography Scheme for Securing Data in Cloud ComputingSECTION 4 CASE STUDIES
- Chapter 15: Cloud Security: Services, Risks, and a Case Study on Amazon Cloud Services
- Chapter 16: A Quick Survey on Cloud Computing and Associated Security, Mobility and IoT Issues
- Chapter 17: Block Level Data Integrity Assurance Using Matrix Dialing Method towards High Performance Data Security on Cloud Storage
- Chapter 18: Current Status of the Use of Cloud Computing in SMEs in the City of Latacunga, Ecuador

Über Autor(innen)

Jovan obtained his PhD in Computer Science from RMIT University in Melbourne, Australia in 2007. His research interests include big data, business intelligence and predictive analytics, data and information science, information retrieval, XML, web services and service-oriented architectures, and relational and NoSQL database systems. He has published over 30 journal and conference papers and he also serves as a journal and conference reviewer. He is currently working as a Dean and Associate Professor at European University in Skopje, Macedonia.