An embedded Node Operating System for real-time information interaction in Vehicle-to-Vehicle communication

2016 ◽  
Author(s):  
Sheng Zhang ◽  
Ying Wu ◽  
Yantong Wang
Keyword(s):  
Operating System ◽  
Real Time ◽  
Vehicle Communication ◽  
Vehicle To Vehicle ◽  
Information Interaction ◽  
Vehicle To Vehicle Communication ◽  
Real Time Information ◽  
Time Information

Low Cost and Modular Approach to Real-Time Vehicle to Vehicle Communication using Wi-Fi

2021 ◽  
Author(s):  
Sanjay M Santhosh ◽  
S Hari Sankar ◽  
G Balagopal ◽  
A U Jayakrishnan ◽  
Shehan P Rajendran ◽  
...  
Keyword(s):  
Real Time ◽  
Low Cost ◽  
Modular Approach ◽  
Vehicle Communication ◽  
Vehicle To Vehicle ◽  
Vehicle To Vehicle Communication

Rtkaller: State-aware Task Generation for RTOS Fuzzing

2021 ◽  
Vol 20 (5s) ◽  
pp. 1-22
Author(s):  
Yuheng Shen ◽  
Hao Sun ◽  
Yu Jiang ◽  
Heyuan Shi ◽  
Yixiao Yang ◽  
...  
Keyword(s):  
Operating System ◽  
Real Time ◽  
Parallel Execution ◽  
Code Coverage ◽  
Branch Coverage ◽  
Code Base ◽  
Time Requirements ◽  
Real Time Information ◽  
Embedded Applications ◽  
Time Information

A real-time operating system (RTOS) is an operating system designed to meet certain real-time requirements. It is widely used in embedded applications, and its correctness is safety-critical. However, the validation of RTOS is challenging due to its complex real-time features and large code base. In this paper, we propose Rtkaller , a state-aware kernel fuzzer for the vulnerability detection in RTOS. First, Rtkaller implements an automatic task initialization to transform the syscall sequences into initial tasks with more real-time information. Then, a coverage-guided task mutation is designed to generate those tasks that explore more in-depth real-time related code for parallel execution. Moreover, Rtkaller realizes a task modification to correct those tasks that may hang during fuzzing. We evaluated it on recent versions of rt-Linux, which is one of the most widely used RTOS. Compared to the state-of-the-art kernel fuzzers Syzkaller and Moonshine, Rtkaller  achieves the same code coverage at the speed of 1.7X  and 1.6X, gains an increase of 26.1% and 22.0% branch coverage within 24 hours respectively. More importantly, Rtkaller  has confirmed 28 previously unknown vulnerabilities that are missed by other fuzzers.

Sign in / Sign up

Export Citation Format

Share Document