55AA-013

Applied Cryptography

Level
Undergraduate
Status
Under development

Note: this course is still being designed and calibrated; the page content is for reference and does not represent the final teaching version.

Syllabus

Course Overview

Applied Cryptography focuses on how cryptographic mechanisms are correctly selected, composed, implemented, and deployed. Topics include symmetric encryption, hashing, message authentication, public-key cryptography, signatures, key exchange, TLS, cryptographic protocols, and common implementation mistakes.

This is the cryptographic foundation for network protocols, secure systems, trusted computing, and compliance automation.

Prerequisites

  • Discrete mathematics, especially modular arithmetic and basic probability.
  • Ability to write and test small programs.
  • Computer networking background is recommended.

Learning Outcomes

  • Explain security goals and usage boundaries of major cryptographic primitives.
  • Identify common cryptographic misuse and protocol-composition errors.
  • Use standard libraries to implement secure data-protection flows.
  • Analyze TLS, signatures, key exchange, and certificate chains.
  • Design key-management and rotation plans for practical systems.

Course Format

  • Two meetings per week: one for core concepts and one for labs, paper discussion, or project review.
  • The course proceeds over 16 weeks, each with a checkable assignment, lab, or project milestone.
  • Reproducibility is required: code, configuration, data, lab logs, and reports must be reviewable by staff or peers.

Weekly Plan

Week 2

Threat models and cryptographic engineering principles: lab and review

Analyze a real cryptographic failure. Complete the paired lab, record issues, and explain design tradeoffs in class review.

Week 4

Hashing, MACs, and authenticated encryption: lab and review

Implement secure message envelopes and tamper tests. Complete the paired lab, record issues, and explain design tradeoffs in class review.

Week 6

Randomness, KDFs, and password storage: lab and review

Evaluate password hashing and parameter choices. Complete the paired lab, record issues, and explain design tradeoffs in class review.

Week 8

Public-key cryptography and digital signatures: lab and review

Implement signature verification and error handling. Complete the paired lab, record issues, and explain design tradeoffs in class review.

Week 10

Key exchange and TLS: lab and review

Analyze TLS handshakes and certificate chains from traces. Complete the paired lab, record issues, and explain design tradeoffs in class review.

Week 12

Protocol composition and formal intuition: lab and review

Review security goals of an authentication protocol. Complete the paired lab, record issues, and explain design tradeoffs in class review.

Week 14

Implementation attacks, side channels, and constant time: lab and review

Observe timing leakage and propose mitigations. Complete the paired lab, record issues, and explain design tradeoffs in class review.

Week 16

Key management and deployment audit: lab and review

Submit a system-level cryptographic usage audit. Complete the paired lab, record issues, and explain design tradeoffs in class review.

Assessment

Individual assignments

Concept questions, reading responses, design tasks, and small programming or lab exercises.

25%
Labs and project

Cryptographic implementation, protocol analysis, audit report, and tests.

40%
Participation and review

Participation in discussions, demos, code or paper reviews, and peer feedback.

10%
Final report and defense

Submit reproducible artifacts, a technical report, and a demo explaining methods, results, limitations, and future work.

25%

Course Project

Students audit or build a small cryptographic application and document threat model, primitive choices, key lifecycle, error handling, and test evidence.

Policies

  • AI tools are allowed, but generated code, lab notes, and design suggestions must be reviewed by the student and disclosed in the report.
  • Students may not submit code, proofs, configuration, or experimental results they cannot explain; each member must defend their own design, tests, and tradeoffs.
  • Late work affects iteration grades, but the course values reproducible, auditable, and maintainable results over last-minute accumulation.

Reference Courses

China 985 Universities