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Hamza Malik

FAST · 2022 · I18-0502
Email
Phone
LinkedIn
GitHub

Academic

Program
BSCS
CGPA
Year
2022
Education
SEECS
Address
DOB

Career

Current role
Target role
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

Hamza Malik 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", "Jupyter Notebook", "SQL", "Machine Learning", "Web Application Security"]
Status: ai_done
Provenance
Source file: Graduate Directory FAST School of Computing 2022 Final Version (07-06-2022).pdf
From job #25 page 271
Created: 1778170933