PhD Thesis in Cloud Computing Security

PhD Thesis in Cloud Computing Security

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PhD Thesis in Cloud Computing Security

   PhD Thesis in Cloud Computing Security is one of our scholarly research services which introduce for worldwide research philosophers to gain best structured PhD thesis. We provide complete knowledge in cloud computing security with the line access process such as off-line access, online storage, shared calendars, platforms, third party integration, outsource processes, online collaboration, online office, online resources, agile development, dynamic and visualized, high level computing, secure management, storage based process and so on. Due to our 10+ years of domain experience, our top professionals gains unbeatable position in the field of cloud computing research.

Let’s starts from the beginning of Cloud Computing Security,

What is Cloud Computing Security?

    …”Protection of data in cloud computing systems and the system must ensures quality attributes during data store and access.”

  • Data Confidentiality: Prevent theft or avoid hardware, software damage etc.
  • Data Integrity and Privacy: Prevent theft or avoid information damage and to provide privacy from illegitimate users.
  • Denial of Service/Availability: Prevent Disruption of Service

Cloud Computing Security Elements:

  • Cloud Data Storage Services
  • Cloud Support Services
  • Elastic Elements: Processing, Storage, and Virtual Networks
  • Cloud Provisioning Services
  • Cloud Processing Infrastructure
  • Cloud Perimeter and Network Security

Cloud Computing Security Attacks:

  • Authentication Attacks
  • Man-in-the Middle Attacks
  • Denial of Service Attacks
  • Side Channel Attacks
  • Cache Poisoning
  • DNS Amplification
  • IP Address Spoofing
  • Registrar Hijacking

Current Solutions Mechanism for Security Attacks:

  • XML Encryption and Signature [XML Attacks]
  • Web Service Level Agreement [SLA Monitoring]
  • SOAP Security Extension [Web services Attacks]
  • Amazon DevPay [System Availability]
  • Traffic Encryption [Man in the Middle Attack]
  • Network monitoring [IP Spoofing]
  • Intrusion Detection and Prevention system [Port Scanning]
  • Logical Network Firewalls and Segmentation [DDOS]
  • Hadoop based Defense Solution [DoS Attack]
  • BASE (BGP Anti-Spoofing Extension) [IP Address Spoofing]
  • DNS Dampening [DNS Amplification]
  • Voice Over Internet Protocol optimized firewalls [Registrar Hijacking]

Advanced PhD Thesis in Cloud Computing Security:

  • High Secure Self-Protection Data Strategy Using Agent Based Secure Multi-Party Computation and Active Data Bundles in Clouds
  • Virtualization Paradigm Design in Linux Environment to Cyber Threats Detection
  • Combination of Bootstrap and Multiple Imputation Evaluation on Knights Landing Paradigm Using R
  • Genetic Algorithm for Feature Extraction Based on Waveband Selection
  • A Novel Energy Efficient VM Scheduling Algorithm for Dynamic Programming Based Cloud Computing
  • Machine Learning in Multi-Cloud Environment for Anomaly Categorization and Detection
  • GPS and BeiDou Observation Data Quality Analysis and Check in Air-Gun Experiment in Reservoir
  • DDoS Attack Detection Based on Machine Learning from Source Side in Cloud Environment
  • Hybrid Cloud Virtual Network Using Proxy Based Connection Mechanism
  • Data Reconstruction and Loss for Wireless Environmental Sensor Networks
  • Learning Hybrid Bayesian Network Infrastructure from Massive Data Using Novel Method on MapReduce
  • An Efficient and Secure Data Storage Over RSA and Hash Function in Mobile Cloud Computing
  • Conditional Proxy Broadcast Re-Encryption Based Dynamic Encrypted Data Sharing Approach for Cloud Storage
  • Integration of Secure Data Access Control and Cipher-text Computation and Update Outsourcing for IoT (Internet of Things) in Fog Computing
  • Mobile Edge Cloud Computing Using Concurrent and Distributed Offloading Paradigm