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Comparison-Based System-Level Fault Diagnosis: A Neural Network Approach
(IEEE Computer Society, 2012)
We consider the fault identification problem, also known as the system-level self-diagnosis, in multiprocessor and multicomputer systems using the comparison approach. In this diagnosis model, a set of tasks is assigned ...
A Distributed inVANETs-Based Intersection Traffic Control Algorithm
(Springer, 2019)
Recently, smart traffic control at intersections became an important issue which has resulted in many researchers investigating intelligent transportation systems using smart vehicles. In particular, the traditional traffic ...
A Citywide Distributed in VANETs-Based Protocol for Managing Traffic
(Springer, 2019)
he dawn of wireless communications makes the delivery of real time information at hands. This includes Vehicle to Infrastructure (V2I) and the Vehicle to Vehicle (V2V) communications which opened the doors for superior ...
Deep Learning-Based Intrusion Detection Systems for Intelligent Vehicular Ad Hoc Networks
(Springer, 2019)
In recent years, malware classifies as a big threat for both internet and computing devices that directly related with the in-vehicle networking security purpose. The main perspective of this paper is to study use of ...
Sybil attacks in intelligent vehicular ad hoc networks: A review
(Springer, 2018)
Vehicular Ad-hoc Networks (VANETs) are intelligent transportation system that provides wireless communication between vehicles and different objects in the road to increase human safety. Many security techniques have been ...
DoS attacks and countermeasures in VANETs
(2019)
Vehicular Ad Hoc Networks (VANETs) are ideal target to many attacks due to the large number of vehicles communicating with each other continually and instantly through a wireless medium. The main goal of VANETs is to enhance ...
A Fault-Tolerant Intersection Control Algorithm Under the Connected Intelligent Vehicles Environment
(Springer, 2016)
In this paper, we introduce a fault-tolerant inVANETs-based intersection control algorithm which relies on vehicle-to-vehicle or vehicle-to-infrastructure communications to control the traffic and grant the privilege to ...
Partial syndrome-based system-level fault diagnosis using game theory
(Taylor & Francis, 2017)
This paper introduces a novel diagnosis approach, using game theory, to solve the comparison-based system-level fault identification problem in distributed and parallel systems based on the asymmetric comparison model. ...
Using support vector machines to solve the comparison-based system-level fault diagnosis problem
(Taylor & Francis Online, 2014)
This paper introduces a new system-level fault diagnosis approach using support vector machines (SVMs). The objective of the fault diagnosis problem is to identify the set of permanent faulty nodes when at most t nodes can ...
Performance Evaluation of a Game Theory-Based Fault Diagnosis Algorithm Under Partial Comparison Syndrome
(ResearchGate, 2016)
This paper introduces a novel diagnosis approach, using game theory, to solve the comparison-based system- level fault identification problem in distributed and parallel systems based on the asymmetric comparison model. ...