0% Complete
Home
/
13th International Conference on Computer and Knowledge Engineering
SingAll: Scalable Control Flow Checking for Multi-Process Embedded Systems
Authors :
Mehdi Amininasab
1
Ahmad Patooghy
2
Mahdi Fazeli
3
1- Independent Researcher
2- Assistant Professor, North Carolina A&T State University Department of Computer Systems Technology
3- Associate Professor School of Information Technology Halmstad University, Sweden
Keywords :
Control-flow checking،Flow Error،Embedded Systems،Multi-thread،Multi-process
Abstract :
Reliability concerns of embedded systems are traditionally resolved by software-based control flow checking (CFC) methods where the execution flow of the processor is monitored to detect and compensate flow violations. Traditional CFC methods may lose their efficiency when it comes to multiprocessing embedded systems. In this paper, we introduce and validate a novel flow error model for multiprocessing embedded systems. Further, we propose a holistic CFC system which performs the flow checking of the processes of interest. The proposed CFC checking introduces the concept of a single monitoring process intended to check the execution flow of as many processes as wanted within an multiprocessing embedded system. Proposed solution does not introduce any substantial overheads in performance and memory consumption. Even more important is method’s insensitivity to the number of checked processes. Our wide evaluations show the average performance overhead of 13.77%, average code-size overhead of 51.71%, and the average memory overhead of 1.95% on the Mibench benchmark suite. Results of fault injections confirm that the proposed CFC method successfully detects more than 95% of flow errors including our newly defined error model.
Papers List
List of archived papers
Collaborative LLM Reasoning for Vulnerability Detection in Smart Contracts
Amirreza Samari - Parsa Hedayatnia - Seyyed Javad Bozorgzadeh Razavi - Mohammad Allahbakhsh - Haleh Amintoosi
A Novel Method For Fake News Detection Based on Propagation Tree
Mansour Davoudi - Mohammad Reza Moosavi - Mohammad Hadi Sadreddini
Robust Learning to Learn Graph Topologies
Navid Akhavan Attar - Ali Fahim
Towards Study of Research Topics Evolution in Artificial Intelligence based on Topic Embedding
Seyyed Reza Taher Harikandeh - Sadegh Aliakbary - Soroush Taheri
A New Application of Machine Learning Based Methods for Disk Space Variation Fault Diagnosis in Transformer Windings
Reza Behkam - Amir Lotfi - Gevork B. Gharehpetian
Automated Person Identification from Hand Images\\using Hierarchical Vision Transformer Network
Zahra Ebrahimian - Seyed Ali Mirsharji - Ramin Toosi - Mohammad Ali Akhaee
AL-YOLO: Accurate and Lightweight Vehicle and Pedestrian Detector in Foggy Weather
Behdad Sadeghian Pour - Hamidreza Mohammadi Jozani - Shahriar Baradaran Shokouhi
Autonomous Drone Navigation Using Synchronized Camera and IMU Data with CNN
Reza Javanmard Alitappeh - Narges Hamzeh Mermeti - Fatemeh Barzegar - Fatemeh Ebrahimi - Nima Mahmoudi - Jalal Alipour Langouri
SASIAF, An Scalable Accelerator For Seismic Imaging on Amazon AWS FPGAs
Mostafa Koraei - S.Omid Fatemi
Simulating Human Visual Cortex and Recall System with Convolutional Neural Networks
Sina Saadati - Abdolah Sepahvand
more
Samin Hamayesh - Version 44.5.0