Case Study Presentations

Introduction to fundamentals of python Additional context: What is the audience's Python knowledge? Advanced What is the key message? All the Fundamentals Desired outcome of the presentation? Gain interest

Career in pharma industry CSV and BA Additional context: Audience expertise level? Intermediate Focus on CSV or BA? Both equally Desired presentation outcome? Career roadmap

Introduction to machine learning concepts for beginners Additional context: What is the audience's technical background? Some programming What should be the main focus? ML concepts overview What outcome do you want? Inspiration to learn

Startup pitch deck for investors with market analysis and traction for a new company that sells creation of presentations with AI called ivern.ai. Additional context: What is the investors' familiarity with AI? Expert What is the primary pitch focus? Revenue traction What is the desired investment outcome? Strategic partners

Slide 1 — Title Web Application Firewall (WAF) & Reverse Proxy System A Secure Network Protection System using Python & FastAPI Prepared by: Your Name Slide 2 — Introduction Web applications today face continuous cyber threats such as SQL Injection, XSS, and DoS attacks. This project aims to design and implement a Web Application Firewall (WAF) that acts as a Reverse Proxy to inspect, filter, and block malicious HTTP requests before they reach the backend server. Slide 3 — Problem Statement Modern web applications often lack a centralized security layer, making them vulnerable to: Injection attacks (SQLi, XSS) Path traversal attacks High traffic overload (DoS) Unauthorized access attempts Therefore, a real-time protective system is required. Slide 4 — Literature Review Existing solutions such as commercial WAFs (Cloudflare, Imperva, F5) provide: Signature-based detection Rate limiting Traffic filtering However, many systems are: Expensive Not customizable Closed-source This project aims to build a lightweight and customizable WAF with similar core functionalities. Slide 5 — Methods The system is built using the following approach: Rule-Based Detection using Regex patterns IP Reputation Tracking system Rate Limiting for DoS protection Reverse Proxy request forwarding Real-time logging and monitoring Each request is analyzed before being forwarded. Slide 6 — System Overview The system consists of: Client Request Layer WAF Reverse Proxy Security Engine (SQLi, XSS detection) Rate Limiter (DoS protection) IP Intelligence System Backend Server Flow: Client → WAF → Security Check → Allow/Block → Backend Slide 7 — Implementation Key technologies used: Python (FastAPI) for backend MySQL for logging and IP intelligence Regex-based attack detection Tailwind CSS for dashboard UI Chart.js for visualization Slide 8 — Results The system successfully: Detects and blocks common attacks Limits excessive requests (DoS) Tracks malicious IP behavior Provides real-time monitoring dashboard Slide 9 — Discussion The system demonstrates that a lightweight WAF can provide effective protection using: Rule-based detection Traffic monitoring IP reputation scoring However, improvements are needed for: Advanced evasion techniques Machine learning integration Distributed deployment Slide 10 — Conclusion This project successfully implements a functional Web Application Firewall that enhances application security by acting as a protective reverse proxy. It provides: Real-time attack detection DoS mitigation Centralized security monitoring Slide 11 — Q&A Thank you for your attention. Any questions?

deck ppt kaya post an linkedin anak dti ui Additional context: Who is the target audience? ui universitas indonesia What is the key message? ui universitas indonesia Desired outcome of presentation? krang tau pokokny kaya deck ppt postan linkedin anak dti universitas indonesia