Security at Virtualization Level in Cloud Computing

Hansraj,; Tiwari, Pradeep Kumar; Chaudhary, Alka

doi:10.1109/icrito51393.2021.9596105

Cited by 1 publication

(3 citation statements)

References 9 publications

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“…Singh [14] presented a study on virtualization in cloud computing, shedding light on the significance of monitoring and management in maintaining a secure environment [14]. Moreover, network security in virtualized environments was emphasized by Hansraj, Tiwari, and Chaudhary [5], highlighting the need for security mechanisms at the virtualization level [5]. Also, Python's application extends beyond technical solutions, encompassing risk management and strategic alignment in cloud security.…”

Section: Strengthening Cloud Security Systems With Pythonmentioning

confidence: 99%

“…This could include creating schemas, tables, and initial data using SQL scripts [20]. Additionally, SQL automation enables scaling based on demand, where resources are adjusted automatically to meet workload requirements [5]. Backup and recovery tasks can be automated through SQL scripts, ensuring data protection [2].…”

Section: Automating Control Processes On Cloud Computing With Sqlmentioning

confidence: 99%

“…The versatility of Cloud Computing stems from its capacity to provide users with seamless access to a wide range of computing resources through trusted service providers [5]. This encompassing suite includes servers, applications, storage solutions, and other services, collectively empowering organizations to scale their operations as needed [2].…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Advancing Cloud Technology Security: Leveraging High-Level Coding Languages like Python and SQL for Strengthening Security Systems and Automating Top Control Processes

Olabanji

2023

JSRR

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In today's dynamic business environment, staying ahead of competitors requires the integration of cutting-edge technologies into organizational processes. Cloud Computing, a transformative technological advancement, offers a promising avenue for achieving operational efficiency and innovation. This paper explores the integration of Cloud Computing with two powerful coding languages, Python and SQL, to enhance cloud security and automate control processes. Cloud Computing's adoption has revolutionized resource management through virtualization and diverse computing models. However, it also introduces security challenges like data breaches and unauthorized access. Python and SQL emerge as essential tools for addressing these challenges and automating various control processes. Python's versatility empowers organizations to establish sophisticated security protocols and automate tasks such as intrusion detection, anomaly detection, real-time monitoring, and computer vision. On the other hand, SQL's role involves automating control processes like resource provisioning, scaling, backup, recovery, access control, and database management. Integrating Python and SQL offers a holistic approach to cloud security enhancement. However, challenges such as skill set requirements, code quality, integration, maintenance, scalability, monitoring, and data privacy must be addressed. Fortunately, solutions like Snowpark, dbt, Hex, and Dataiku provide platforms that unify various programming languages, fostering collaboration and streamlining tasks. This convergence of Cloud Computing with Python and SQL presents numerous benefits. Automation enhances efficiency, reduces human error, and ensures consistent control process execution. This synergy allows organizations to achieve scalability, cost savings, improved security, and comprehensive monitoring and reporting. As institutions increasingly d on Cloud Computing to drive innovation and competitiveness, the importance of fortifying these systems against evolving threats cannot be overstated. Integrating Python and SQL represents a pivotal juncture in achieving this goal. By harnessing their combined power, organizations can create robust security mechanisms, streamline operations, and promote cross-functional collaboration. As the digital landscape evolves, embracing this approach is crucial for sustaining success in a rapidly changing environment.

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