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1- 🔐 Cybersecurity and Social Engineering / Main Repository

Main repository for the PUC-SP 5th Semester Academic Hub (2026) — focused on Cybersecurity & Social Engineering, featuring hands-on labs, ethical hacking simulations, AI security practices, threat analysis, and applied defense strategies aligned with real-world security scenarios.

Cybersecurity and Social Engineering Integrated Project - PUC-SP 5th Semester (2026)

Institution: Pontifical Catholic University of São Paulo (PUC-SP Humanistic AI & Data Science • 5º Semestre • 2026
School: FACEI - Faculty of Interdisciplinary Studies
Course Repo: INTEGRATED PROJECT: Cybersecurity and Social Engineering - 72 Hours
Professor: ✨ Eduardo Savino Gomes
Extensionist Activities: Social projects with open-source software for community support.

Note

⚠️ Heads Up

• Projects and deliverables may be made publicly available whenever possible.

• The course emphasizes practical, hands-on experience with real datasets to simulate professional consulting scenarios in the fields of Machine Learning and Neural Networks for partner organizations and institutions affiliated with the university.

• All activities comply with the academic and ethical guidelines of PUC-SP.

• Any content not authorized for public disclosure will remain confidential and securely stored in private repositories.

📋 Table of Contents

• Course Overview
• Core Areas
• Objective
• Core Learning Pillars
• Weekly Classes Schedule
• Folder Structure
• Related Project Repositories
• Professor Information
• Quick Start Guide
• Grading & Assessment
• Learning Resources
• Tooling Stack
• Contributing Guidelines
• License
• Repository Stats

Course Overview

This repository serves as the central academic and practical hub for a course in Cybersecurity, Social Engineering, AI System Protection, and Ethical Hacking.

It is designed to integrate theoretical foundations, applied methodologies, and real-world perspectives, preparing learners for modern security challenges.

Core Areas

• Cybersecurity Foundations — principles, threats, and defense strategies
• Social Engineering — human factors, persuasion, and attack vectors
• AI System Protection — securing intelligent systems and mitigating adversarial risks
• Ethical Hacking — penetration testing concepts and responsible exploitation

Objective

The course aims to develop a comprehensive understanding of vulnerabilities across both technical systems and human behavior, enabling learners to:

- Identify and analyze security weaknesses
- Understand attack methodologies
- Anticipate complex threat scenarios
- Design and implement effective defensive solutions

with a strong focus on AI-driven environments and emerging risks.

Core Learning Pillars

Pillar	What You Will Master	Practical Application
Technical Cybersecurity	Firewalls, encryption, IDS/IPS, malware analysis	Securing AI infrastructures
Social Engineering	Phishing, pretexting, baiting, tailgating	Human vulnerability prevention
AI Security	Adversarial AI, model poisoning, secure ML pipelines	Protecting ML models
Hands-on Labs	Ethical hacking, penetration testing, CTF exercises	Real-world simulation

Weekly Roadmap /Classes Schedule

Week	Topic	Resources	Status
1	Introduction & Cybersecurity Foundations	Slides Notes	Planned
2	Authentication & Password Security	Slides Video	Planned
3	Malware & Threat Actors	Slides Lab	Planned
4	Network Security Fundamentals	Slides Code	Planned
5	Encryption & Cryptography	Slides Demo	Planned
6	Social Engineering Fundamentals	Slides Video	Planned
7	Phishing & Pretexting	Slides Simulation	Planned
8	Midterm Labs & Review	Slides Quiz	Planned
9	Advanced Social Attacks	Slides Lab	Planned
10	AI in Cybersecurity	Slides Code	Planned
11	Defense Strategies	Slides Project	Planned
12	Ethical Hacking Basics	Slides Demo	Planned
13	Real Case Studies	Slides Video	Planned
14	Group Projects	Slides Repository	Planned
15	Project Presentations	Slides	Planned
16	Advanced Topics	Slides	Planned
17	Ethics & AI Safety	Slides	Planned
18	Final Review & Exam	Slides Exam	Planned

Folder Structure

/semana1/ /semana2/ /semana3/ /labs/ /projects/ /docs/

Each week should contain:

• Slides
• Notes (Markdown or Notebook)
• Practical exercises
• References

Extension & Applied Projects / Repositories

Project	Description	Status
Phishing Detector	Machine Learning model to detect fraudulent emails	Coming Soon
Social Engineering Simulator	Awareness training simulation	Coming Soon
AI Security Toolkit	Monitoring and protection utilities	Coming Soon
CTF Challenges	Capture The Flag exercises	Coming Soon

[!IMPORTAT]

Projects are structured to be publicly documented and version-controlled.

💌 Let the data flow... Ping Me !

🛸๋ My Contacts Hub

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Copyright 2026 Quantum Software Development. Code released under the MIT license.

Objective

The course aims to develop a comprehensive understanding of vulnerabilities across both technical systems and human behavior, enabling learners to:

- Identify and analyze security weaknesses
- Understand attack methodologies
- Anticipate complex threat scenarios
- Design and implement effective defensive solutions

with a strong focus on AI-driven environments and emerging risks.

💌 Let the data flow... Ping Me !

🛸๋ My Contacts Hub

────────────── ⊹🔭๋ ──────────────

➣➢➤ Back to Top

Copyright 2026 Quantum Software Development. Code released under the MIT license.