Cyber-Security-Course - security foundations to a defended capstone: thre

项目说明

Cyber Security Course — BS CS / BS Data Science (7th Semester)

Uni course: 32 lectures × 2 hours = 64 contact hours · 16 weeks · 8 modules, progressing from security foundations to a defended capstone. Dual-track: Computer Science and Data Science students each lead in parts of the course (M3–M5 CS-intensive, M6 DS-intensive).

> Status: ✅ content complete — ready for instructor review. All teaching artifacts exist in both tiers (plans, notes, guides, labs, 100 case studies, assessments, slides, calendar); four repo pass. Publication and delivery steps: docs-meta/hando.md. Known open items: docs-meta/findings-register.md.

Repository map

| Path | Purpose | Audience |
|---|---|---|
| syllabus.md | Course description, CLOs, schedule, assessment strategy, readings | Students + staff |
| lectures/ | 32 student-facing lecture notes (8 module directories) | Students |
| labs/ | 14-lab program (8 core graded + enrichment) — worksheets + safe starter code | Students |
| case-studies/ | 100 simulated progressi (Levels 1–4) with model solutions instructor-side | Students |
| assessments/student/ | Weekly quiz papers, specimen exams, task briefs, rubric summaries | Students |
| assessments/instructor-only/ | Question bank, answer keys, live exam papers, moderation guides | Teaching staff only |
| instructor-materials/instructor-only/ | Lecture plans, teaching guides, slide decks with speaker notes, planning calendar | Teaching staff only |
| calendar/ | One-click semester calendar generator + generated views | Students + staff |
| website/ | GitHub Pages source (student-facing hub) | Public |
| docs-meta/ | Architecture, roadmap, audit findings, reports | Planning |

Quick na

(run before any hand-off)

Ethics

All materials teach authorized, defensive cybersecurity. Labs use sandboxed, synthetic targets only; every demonstrated weakness is paired with defensi. All 100 case studies are simulated scenarios (fictional organizations, clearly labeled) — no real incident is presented as fact. Attacking systems without written authorization is illegal and out of scope of this course.

Distribution warning: e under instructor-only/ tiers — including live exam papers and answer keys — must move to a private repository or the campus LMS before term start if this repository remains public. See docs-meta/findings-register.md (C1).

项目信息

开发语言：Python

Star 数：1

技术要点

该项目属于防护思路方向的开源资源，代码结构清晰，适合安全研究人员学习参考。项目围绕 security foundations to a defended capstone: threat modeling, web security, malware analysis, network defense, cryptography, ML-driven security analytics, cloud & privacy - culminating in a team defensive architecture展开，提供了可运行的实现，对理解相关安全机制、工具原理与攻防技术具有较高的研究价值。

从技术实现角度看，此类项目的核心在于对底层原理的深入理解与工程化落地。开发者在研究过程中可以结合官方文档与社区讨论，梳理项目的初始化流程、核心模块职责与数据流转，逐步掌握其中的技术细节与设计思路。

使用与学习建议

1. 下载源码压缩包，解压到本地环境。

2. 根据项目类型准备对应的运行环境与依赖。

3. 按照 README 中的步骤完成配置与部署。

4. 在隔离的测试环境中运行验证，避免影响生产系统。

免责声明

本资源来源于开源社区，仅供安全研究、技术学习与合法授权范围内的攻防演练使用，请勿用于任何非法或侵害他人权益的用途。使用本项目产生的一切后果由使用者自行承担。