Security for Cloud Data Protecting by VPN
Fuente:
Zenodo
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Recurso digital |
| Veröffentlicht: |
Zenodo
2024
|
| Schlagworte: | |
| Online-Zugang: | |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| _version_ | 1866901240178278400 |
|---|---|
| author | Ravi Ranjan Kumar |
| author_facet | Ravi Ranjan Kumar |
| contents | Context: From the past few years, there has been a rapid progress in Cloud Computing. With the increasing number of companies resorting to use resources in the Cloud, there is a necessity for protecting the data of various users using centralized resources. Some major challenges that are being faced by Cloud Computing are to secure, protect and process the data which is the property of the user. Aims and Objectives: The main aim of this research is to understand th`e security threats and identify the appropriate security techniques used to mitigate them in Cloud Computing. The main objectives of this research are: To understand the security issues and the techniques used in the current world of Cloud Computing. To identify the security challenges, those are expected in the future of Cloud Computing. To suggest counter measures for the future challenges to be faced in Cloud Computing. Cloud computing offers enterprises a method to access computing resources on-demand. This allows enterprises to save on capital expenses related to periodic hardware upgrades, maintenance and energy costs. However data traversing in cloud, leads to data breaching and data loss by third party intruders affecting the managing and reliability of sensitive information. A virtual private network, VPN, is a typical way of interconnecting networks over a public network infrastructure securing data transferred across the private subnets. The goal of this project is to provide VPN as a service using virtualized VPN software, essentially making the VPN yet another building block for a service in the cloud. Objectives: The objective of this thesis involves the modeling of an open source IPSec based VPN solution on a Linux Platform and estimating its performance efficiency for implementing VPNaaS prototype. Also resource allocation and management metrics are evaluated to determine the rate and reliability of launching VMs. An extensive literature review has been carried out depicting the various VPN implementations and various security enhancing key distribution mechanisms. Methods: Configuration and modeling of an IPSec VPN solution on a Linux environment has been accomplished by proper experimental set-up in the FIWARE federated cloud where performance metrics on throughput, jitter and packet loss were measured and analyzed. Overheads concerning various encryption algorithms have been studied and resulted. |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_18138829 |
| institution | Zenodo |
| language | |
| publishDate | 2024 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Security for Cloud Data Protecting by VPN Ravi Ranjan Kumar Cloud Challenges Computing Security StrongSwan Virtualization VPN. Context: From the past few years, there has been a rapid progress in Cloud Computing. With the increasing number of companies resorting to use resources in the Cloud, there is a necessity for protecting the data of various users using centralized resources. Some major challenges that are being faced by Cloud Computing are to secure, protect and process the data which is the property of the user. Aims and Objectives: The main aim of this research is to understand th`e security threats and identify the appropriate security techniques used to mitigate them in Cloud Computing. The main objectives of this research are: To understand the security issues and the techniques used in the current world of Cloud Computing. To identify the security challenges, those are expected in the future of Cloud Computing. To suggest counter measures for the future challenges to be faced in Cloud Computing. Cloud computing offers enterprises a method to access computing resources on-demand. This allows enterprises to save on capital expenses related to periodic hardware upgrades, maintenance and energy costs. However data traversing in cloud, leads to data breaching and data loss by third party intruders affecting the managing and reliability of sensitive information. A virtual private network, VPN, is a typical way of interconnecting networks over a public network infrastructure securing data transferred across the private subnets. The goal of this project is to provide VPN as a service using virtualized VPN software, essentially making the VPN yet another building block for a service in the cloud. Objectives: The objective of this thesis involves the modeling of an open source IPSec based VPN solution on a Linux Platform and estimating its performance efficiency for implementing VPNaaS prototype. Also resource allocation and management metrics are evaluated to determine the rate and reliability of launching VMs. An extensive literature review has been carried out depicting the various VPN implementations and various security enhancing key distribution mechanisms. Methods: Configuration and modeling of an IPSec VPN solution on a Linux environment has been accomplished by proper experimental set-up in the FIWARE federated cloud where performance metrics on throughput, jitter and packet loss were measured and analyzed. Overheads concerning various encryption algorithms have been studied and resulted. |
| title | Security for Cloud Data Protecting by VPN |
| topic | Cloud Challenges Computing Security StrongSwan Virtualization VPN. |
| url | https://doi.org/10.5281/zenodo.18138829 |