My comprehensive learning path through hardware security fundamentals to advanced GPU security
- CPU Architecture Basics
cpu-deep-dive/- Notes from Patterson & Hennessy readingsmemory-management/- MMU, virtual memory, paging conceptsinstruction-pipelines/- Pipeline diagrams and hazard analysiscache-systems/- Cache hierarchy and performance analysis
- Hardware Attack Vectors
spectre-meltdown/- Speculative execution vulnerabilitiesrowhammer/- DRAM bit flipping attacksside-channels/- Cache timing, power analysis attacksfault-injection/- Clock glitching, voltage manipulation
- Protection Systems
memory-protection/- SMEP, SMAP, stack canariessecure-boot/- UEFI, measured boot, chain of trusttrusted-execution/- Intel SGX, ARM TrustZone, AMD SEVhardware-tokens/- TPM, HSMs, security keys
- GPU-Specific Security
gpu-architecture/- GPU memory hierarchy and securitycuda-security/- CUDA programming security considerationsgpu-virtualization/- GPU sharing and isolationai-accelerator-security/- TPU, specialized AI chip security
- Practical Implementations
cpu-simulator/- Basic CPU simulator with security featuresvulnerability-scanner/- Hardware vulnerability detection toolsecure-bootloader/- Simple secure boot implementationgpu-security-analyzer/- Tool to analyze GPU security features
- Literature and Analysis
paper-summaries/- Key research paper summariesthreat-landscape/- Current threat analysisindustry-reports/- Security vendor reports and analysisconference-notes/- Notes from security conferences
- Utilities and Automation
analysis-scripts/- Python tools for hardware analysismonitoring-tools/- System monitoring and detectionfuzzing-harnesses/- Hardware fuzzing frameworksvisualization/- Tools to visualize hardware concepts
README.md- Overview and learning objectivesnotes.md- Detailed study notescode/- Practical implementationsresources.md- Links and referencesexercises.md- Practice problems and solutionsquiz.md- Self-assessment questions
- Understand CPU architecture and security mechanisms
- Analyze major hardware vulnerabilities
- Implement basic security monitoring tools
- Build foundation for advanced topics
- Integrate Python programming with hardware security
- Build automated vulnerability detection systems
- Apply ML techniques to hardware anomaly detection
- Create comprehensive security analysis toolkit
- Deep dive into GPU security architectures
- Implement CUDA-based security analysis tools
- Study emerging hardware security threats
- Build real-time hardware monitoring systems
- Week 1: CPU architecture fundamentals + basic vulnerability analysis
- Week 2: Memory protection + side-channel attack understanding
- Week 3: GPU security architecture + trusted execution environments
- Week 4: Complete security analysis project + comprehensive review
- Complete understanding of hardware attack vectors
- Ability to analyze and detect hardware vulnerabilities
- Practical tools for hardware security assessment
- Strong foundation for thesis research
- Hardware-accelerated image processing security
- GPU-based computer vision vulnerability analysis
- Real-time visual hardware monitoring systems
- ML models for hardware anomaly detection
- Automated threat classification systems
- Predictive security analytics for hardware
- Automation scripts for hardware analysis
- Security monitoring and alerting systems
- Data analysis tools for hardware logs
feat: add CPU pipeline security analysisdocs: update memory protection notesfix: correct vulnerability scanner logicproject: complete secure boot implementation
- Notes:
topic-name-notes.md - Code:
descriptive-name.py/c/cpp - Projects:
project-name/README.md - Resources:
topic-resources.md
- CPU Security Analyzer - Tool to detect CPU vulnerabilities
- Memory Protection Monitor - Real-time memory security monitoring
- GPU Security Assessment - Comprehensive GPU security analysis
- Hardware Threat Database - Curated database of hardware threats
- Advanced side-channel attack detection
- Secure hardware virtualization framework
- AI-powered hardware anomaly detection
- Industrial control system security analysis
- Patterson & Hennessy: Computer Organization and Design
- Anderson: Security Engineering
- Kocher: Hardware Security Research
- Spectre/Meltdown original papers
- Recent GPU security research
- Hardware-assisted AI security papers
- gem5 simulator
- Intel Pin framework
- AMD ΞΌProf
- NVIDIA Nsight
This repository follows a learn-by-doing approach:
- Study theoretical concepts
- Implement practical examples
- Document learning process
- Share knowledge with community
- Iterate based on feedback
- CPU architecture deep dive
- Basic vulnerability analysis
- Security mechanism understanding
- Python security tool development
- ML integration with hardware security
- Automated analysis systems
- GPU security specialization
- Real-time monitoring systems
- Research-quality implementations
This repository represents my journey from hardware security novice to expert, documenting every step of the learning process!