Data mining technique in securing the cloud
- 1. Introduction
- 3. Cloud computing providers • Amazon Web Services (AWS): • Machine learning, web applications, … • IBM cloud services • Microsoft Cloud service: • (office 365) • Google Cloud Platform (GCP): • Web services, cloud computing, data storage. • Google Colaboratory: • Free Jupyter notebook environment.
- 4. Literature Survey Cloud Benefits: • pay-for- use. • fast deployment. • scalability. • lower costs. • rapid elasticity. • rapid provisioning. • ubiquitous network access. • greater resiliency. • low-cost disaster recovery and data storage solutions. • hypervisor protection against network attacks. • on demand security controls. • real time detection of system tampering. • and rapid re-constitution of services.
- 5. Literature Survey • cloud computing challenges from security point of view: - virtualization vulnerabilities. - accessibility vulnerabilities. - web application vulnerabilities such as SQL (Structured Query Language) injection, cross-site scripting. - privacy and control issues. - arising from third parties having physical control of data. - physical access issues. - issues related to credential management. - identity and issues related to data verification. - integrity. - data loss and theft. - issues related to authentication of the respondent device or devices and IP spooling.
- 7. CLOUD ENVIRONMENT LAYERS • Deployment Models: - Public Cloud. - Private Cloud. - Hybrid Cloud. - Community Cloud. • Delivery Models: - IaaS (Infrastructure as a Service) delivery. - PaaS (Platform as a Service). - SaaS (Software as a Service) models.
- 8. CLOUD ENVIRONMENT LAYERS • Character Models: - multi-tenancy. - on-demand self-service. - ubiquitous network. - measured service. - rapid elasticity.
- 9. GAPS AND SECURITY ISSUES IN SERVICE MODELS 1. Security and privacy 2. Portability 3. Interoperability
- 10. GAPS AND SECURITY ISSUES IN SERVICE MODELS • Other issues : 1. Data confidentiality 2. Availability of service 3. Scalable storage 4. Unpredictable costs 5. Bandwidth costs
- 11. Denial Of service attack(DOS)
- 12. Denial Of service attack(DOS) classification : 1. Naive Bayes 2. multilayer perceptron 3. support vector machine 4. Decision Tree(C4.5) 5. Partial Tree(PART)
- 13. Denial Of service attack(DOS) classification :
- 14. Decision Tree C 4.5 Algorithm
- 15. Decision Tree
- 16. Decision Tree