This paper examines the strength of CLEFIA against multiple bytes differential fault attack. Firstly, it presents the principle of CLEFIA algorithm and differential fault analysis; then, according to injecting faults into the r,r1,r-2 CLEFIA round three conditions, proposes three fault models and corresponding analysis methods; finally, all of the fault model and analysis methods above have bee...

This paper presents a fault model for interoperability testing of communication protocols that are modeled by communicating finite state machines, and proposes a technique that extends an initial interoperability test suite, which is given by another existing method, to be a test suite that can detect "almost all" interaction faults based on the fault model. We start with an interoperability te...

Fault tolerance property of artificial neural networks has been investigated with reference to the hardware model of artificial neural networks. Weight fault is an important link, which causes breakup between two nodes. In this paper weight fault has been explained. Experiments have been performed for Weight-stuck-0 fault. Effect of weight-stuck-0 fault on trained network has been analyzed in t...

in this paper, in order to increase the efficiency, to reduce the cost and to prevent the failures of wind turbines, which lead to an extensive break down, a robust fault diagnosis system is proposed for v47/660kw wind turbine operated in manjil wind farm, gilan province, iran. according to the acquired data from iran wind turbine industry, common faults of the wind turbine such as sensor fault...

This paper presents a framework for a logical characterization of fault tolerance and its formal analysis based on partial model checking techniques. The framework requires a fault tolerant system to be modeled using a formal calculus, here the CCS process algebra. To this aim we propose a uniform modeling scheme in which to specify a formal model of the system, its failing behaviour and possib...

In its most basic form, algorithmic fault diagnosis consists of using a fault model to predict the behavior of faulty circuits, comparing these predictions to the actual observed behavior of defective chips, and identifying the predicted behavior(s) which most closely match the observations. The goal of the process is to enable failure analysis by identifying promising locations for further stu...

A fault-tolerant wormhole routing algorithm on meshconnected processors is proposed. The proposed algorithm is based on the solid fault model and allows the fault polygons to be overlapped. The algorithm compares the position of fault region relative to current channel with the fault direction eld of a misrouted message to route around overlapped fault polygons. A node deactivating algorithm to...

The deployment scenarios for sensor networks are often hostile. These networks also have to operate unattended for long periods. Therefore, fault-tolerance mechanisms are needed to protect these networks from various faults such as node failure due to loss of power, compromise, etc and link failure due to network intrusion, etc. A number of fault-tolerance techniques have been developed specifi...

This paper studies on a fuzzy predictive model based high speed train fault tolerant control method, which is very important for high speed train’s high-precision control. After analyzing related research works about fault tolerant control and the development of modern high speed train, design of the high speed train fault tolerant control system is given. Afterwards, the high speed train fault...

With the increasing demand for higher performance, safety and reliability of dynamic systems, fault diagnosis has received more and more attention. The observer-based strategy is one of the active research fields, which is widely used to construct model-based fault detection systems for technical processes which can be well modelled as linear time invariant systems. Fault diagnosis for nonlinea...