Rajaa Aamir
FAST
· 2021
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i17-0339
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Academic
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Year
2021
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Career
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Skills
Python, SvelteJS, Docker, Kubernetees, Monoco Editor, Rust
Verbatim text
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Cloud Safe In the digital era today, there is a need to secure important information that can be in the form confidential reports, business plans and other documents that require to be safe from malicious access. Information security has therefore been a common use in computing and will continue to be in the future. The massive increase in the use of large-scale distributed systems such as the Cloud have led to security challenges. The most important concerns all cloud users face is related to security and this causes a hindrance in the adoption of Cloud. The aim of our application is to make the cloud more secure by helping users identify, analyze and visualize their policies. The users will get to know where there are problems in their policy and will be given advice and warnings based on their policies. The project will be a web-based application which can import existing AWS IAM policies. The application will fetch all AWS IAM policies. Users shall be able to have their policies visualized and analyzed by our algorithms. Users will be able to identify where the anomalies in their policies lie. Application would give hints on what could cause problems and even warn if policy is problematic. Features include: • Users will access it on Web Based Application. • Allow the users to import/upload AWS IAM policies. • Allow the users to analyze their policies by showing users the possible anomalies in their policies. • Allow users to know their anomalous policies by getting their policies highlighted wherever the policies are problematic. • Allow users to visualize their policies in the form of tables or interactive graphs. • Directly place warning indicators on potentially problematic portions of a policy. Give hints to users on what could cause problems and even warn if the policy is problematic. Technology Used: Python, SvelteJS, Docker, Kubernetees, Monoco Editor, Rust Supervisor Name: Dr. Ehtesham Zahoor Group Members: Rajaa Aamir (i17-0339)
AI enrichment
Rajaa Aamir is a student who contributed to a web-based application designed to analyze and visualize AWS IAM policies for security anomalies. The project utilized Python, SvelteJS, and Rust to help users identify problematic policies and receive warnings.
Skills (AI)
["Python", "SvelteJS", "Docker", "Kubernetes", "Rust", "AWS IAM", "Web Development", "Policy Analysis"]
Status: ai_done
Provenance
Source file: Graduate Directory FAST School of Computing 2021 (1st Final) (1).pdfFrom job #24 page 204
Created: 1778170889