Muhammad Abubakar
FAST
· 2022
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I18-0449
Email
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Phone
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LinkedIn
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GitHub
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Academic
Program
BSCS
CGPA
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Year
2022
Education
SEECS
Address
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DOB
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Career
Current role
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Target role
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Skills
React, Redux, Django, REST API, Python, Jupyter Notebook, SQL, Linux, Apache, Machine Learning, Web Application Firewall
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.
Web Application Firewall (Webalcazar) WebAlcazar is going to be a Web Application Firewall that will filter, monitor, and block malicious payloads coming to a website. For this purpose, we are going to be using a front end with interactive features for the user. Since our project progress is mostly based on the back end side due to algorithms and ML-based signature matching, this is why our use cases are not covering the whole aspect of our project. Henceforth, our second use case which is Change Policy will be covering 70% of our project. This use case will have a protection policy for every web-based attack such as SQLi, XSS, XXE, etc. These policies are divided among the iterations as shown in the iteration plan. To host our web application firewall, we have set up an apache web server hosted in the virtual environment of the Linux server. Furthermore, our firewall is going to need a data set like payloads in order to train the model. We have spent a specific amount of time collecting the data for every web-based attack. We are going to use a local database for our firewall since it will help negate the amount of time delay and internet access for the users. For this purpose, we are going to use a SQL database. The front end developed in this iteration is done by using React framework. For our back end, we are using Django. Technology Used: React (Redux), Django (REST API Python Framework), Jupyter Notebook Supervisor Name: Mr. Zeeshan Qaiser Group Members: Muhammad Abubakar (I18-0449) Hamza Malik (I18- 0502) Syed Umer Ali (I180627)
AI enrichment
Muhammad Abubakar is a BSCS student working on a Web Application Firewall project named WebAlcazar. The project involves developing a backend with Django and a frontend with React to filter malicious payloads using ML-based signature matching.
Skills (AI)
["React", "Redux", "Django", "Python", "REST API", "SQL", "Machine Learning", "Apache", "Linux"]
Status: ai_done
Provenance
Source file: Graduate Directory FAST School of Computing 2022 Final Version (07-06-2022).pdfFrom job #25 page 271
Created: 1778170933