Getting started with Rust in the Linux kernel
Rusty Nail

© Photo by Andrey Tikhonovskiy on Unsplash
A major step for the Linux kernel's long-term security and reliability is the introduction of Rust as a potential development language. We'll show you how to set up your Linux system to support Rust programming.
Rust's entrance into the Linux kernel is a game-changer for security and reliability. Why Rust in the Kernel? Nearly 60 to 70 percent of security vulnerabilities in kernels and low-level C/C++ code are due to memory unsafety [1], a category that includes issues like buffer overflow, use-after-free, and null-pointer dereference. These bugs are especially critical in kernel space, where a simple memory error in a device driver can crash the entire system or lead to privilege escalation. In contrast, Rust's strong memory safety guarantees eliminate these classes of bugs by design. Rust's compiler enforces strict borrowing rules, preventing unauthorized memory access and data races at compile time. These precautions mean that new kernel components written in Rust are far less likely to introduce memory-corruption vulnerabilities.
Beyond safety, Rust brings other advantages. Its rich type system and emphasis on correctness catch many errors early (e.g., improper null handling or integer overflow can be avoided with options for checked arithmetic types). Performance is comparable to C, since Rust has no garbage collector and generates optimized native code. In fact, Google's Android team noted that Rust can reduce bugs in privileged kernel code "while preserving performance characteristics" [2]. Rust also enables modern abstractions, for instance, using Resource Acquisition Is Initialization (RAII) to ensure resources (like locks or memory) are freed reliably via Rust's Drop trait. Overall, integrating Rust into Linux is about making drivers safer and more robust without sacrificing speed or low-level control.
Preparing for Rust Kernel Development
Writing a Rust-based kernel module currently requires a custom kernel build environment. Before diving into code, you'll need to set up the necessary tools and kernel source:
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