Using model-driven development to reduce system software security vulnerabilities
Using model-driven development to reduce system software security vulnerabilities
Guy Broadfoot, Verum Software Technologies
embedded.com (March 09, 2014)
The majority of embedded software developers using traditional programming languages such as C and C++ make use of processes and techniques inherent in the language to improve reliability and reduce security flaws. However, another approach that has met with increasing success is the use of model-driven design (MDD).
The premise of MDD is to raise the abstraction of software development from the low-level imperative programming language that is fraught with opportunities to shoot one’s self in the foot to a higher-level modeling language that reduces the distance between design and implementation and by doing so reduces the flaws that lead to security and safety failures.
Modeling lends itself better to formal proofs of specifications and security policies than do traditional programming languages. Indeed, a side benefit of using some MDD platforms – especially the ones that support formal methods and automatic code generation - is the ability to make formal arguments regarding the correspondence between specification, design, and implementation, a core challenge in all formal approaches. The following will deal with MDD methods that lend themselves to formal analysis and therefore raise the assurance of quality, safety, and security.
To read the full article, click here
Related Semiconductor IP
- UCIe D2D Adapter & PHY Integrated IP
- Low Dropout (LDO) Regulator
- 16-Bit xSPI PSRAM PHY
- MIPI CSI-2 CSE2 Security Module
- ASIL B Compliant MIPI CSI-2 CSE2 Security Module
Related Articles
- Automotive System & Software Development Challenges - Part 1
- Automotive System & Software Development Challenges - Part 2
- It's Not My Fault! How to Run a Better Fault Campaign Using Formal
- Enabling security in embedded system using M.2 SSD
Latest Articles
- RISC-V Functional Safety for Autonomous Automotive Systems: An Analytical Framework and Research Roadmap for ML-Assisted Certification
- Emulation-based System-on-Chip Security Verification: Challenges and Opportunities
- A 129FPS Full HD Real-Time Accelerator for 3D Gaussian Splatting
- SkipOPU: An FPGA-based Overlay Processor for Large Language Models with Dynamically Allocated Computation
- TensorPool: A 3D-Stacked 8.4TFLOPS/4.3W Many-Core Domain-Specific Processor for AI-Native Radio Access Networks