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Talal Qayyum

FAST · 2021 · i17-0118
Email
Phone
LinkedIn
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Academic

Program
CGPA
Year
2021
Education
Address
DOB

Career

Current role
Target role
Skills
Python, SvelteJS, Docker, Kubernetees, Monoco Editor, Rust

Verbatim text

The exact text the LLM saw on the page (or the booklet text from the old import). This is what powers semantic search.
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:   
Talal Qayyum (i17-0118)
Provenance
Source file: Graduate Directory FAST School of Computing 2021 (1st Final) (1).pdf
From job #24 page 204
Created: 1778226128