Concept

Fault injection

Related publications (17)

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ACTOR: Action-Guided Kernel Fuzzing

Mathias Josef Payer

Fuzzing reliably and efficiently finds bugs in software, including operating system kernels. In general, higher code coverage leads to the discovery of more bugs. This is why most existing kernel fuzzers adopt strategies to generate a series of inputs that ...

Berkeley2023

GLeeFuzz: FuzzingWebGL Through Error Message Guided Mutation

Mathias Josef Payer, Hui Peng

WebGL is a set of standardized JavaScript APIs for GPU accelerated graphics. Security of the WebGL interface is paramount because it exposes remote and unsandboxed access to the underlying graphics stack (including the native GL libraries and GPU drivers) ...

Berkeley2023

Arvin: Greybox Fuzzing Using Approximate Dynamic CFG Analysis

Mathias Josef Payer, Sirus Shahini

Fuzzing has emerged as the most broadly used testing technique to discover bugs. Effective fuzzers rely on coverage to prioritize inputs that exercise new program areas. Edge-based code coverage of the Program Under Test (PUT) is the most commonly used cov ...

ASSOC COMPUTING MACHINERY2023

ErgoDEC: A Fault Tolerant 28 nm LDPC Decoder Providing Stable FER Quality with Unreliable Memories

Andreas Peter Burg, Robert Giterman, Reza Ghanaatian Jahromi, Andrea Bonetti

Communication systems have been associated with an inherent fault tolerance to hardware reliability issues. Therefore, many publications have studied the impact of such issues on, for example, channel (mostly LDPC) decoders. Since all of these studies are ...

2022

Seed Selection for Successful Fuzzing

Mathias Josef Payer

Mutation-based greybox fuzzing-unquestionably the most widely-used fuzzing technique-relies on a set of non-crashing seed inputs (a corpus) to bootstrap the bug-finding process. When evaluating a fuzzer, common approaches for constructing this corpus inclu ...

ASSOC COMPUTING MACHINERY2021

FuzzGen: Automatic Fuzzer Generation

Mathias Josef Payer

Fuzzing is a testing technique to discover unknown vulnerabilities in software. When applying fuzzing to libraries, the core idea of supplying random input remains unchanged, yet it is non-trivial to achieve good code coverage. Libraries cannot run as stan ...

USENIX ASSOC2020

Discover deeper bugs with dynamic symbolic execution and coverage-based fuzz testing

George Candea, Vitaly Chipounov, Bin Zhang, Chao Feng

Coverage-based fuzz testing and dynamic symbolic execution are both popular program testing techniques. However, on their own, both techniques suffer from scalability problems when considering the complexity of modern software. Hybrid testing methods attem ...

INST ENGINEERING TECHNOLOGY-IET2018

Techniques for Identifying Elusive Corner-Case Bugs in Systems Software

Radu Banabic

Modern software is plagued by elusive corner-case bugs (e.g., security bugs). Because there are no scalable, automated ways of finding them, such bugs can remain hidden until software is deployed in production. This thesis proposes approaches to solve this ...

EPFL2015

DeSyRe: On-demand system reliability

Babak Falsafi, Dionysios Pnevmatikatos, Sebastian Isaza

The DeSyRe project builds on-demand adaptive and reliable Systems-on-Chips (SoCs). As fabrication technology scales down, chips are becoming less reliable, thereby incurring increased power and performance costs for fault tolerance. To make matters worse, ...

Elsevier2013

Fast black-box testing of system recovery code

George Candea, Radu Banabic

Fault injection-a key technique for testing the robustness of software systems-ends up rarely being used in practice, because it is labor-intensive and one needs to choose between performing random injections (which leads to poor coverage and low represent ...

2012