Abstract Among various side-channel attacks, power analysis pose a serious threat to the security of different cryptographic implementations such as Simple Power Analysis (SPA), Differential Power Analysis (DPA) and Correlation Power Analysis (CPA). Such attacks typically involve representing the relationship between the instantaneous power consumption of a device executing a cryptographic algorithm, and certain intermediate data handled. In the present paper,... Among various side-channel attacks, power analysis pose a serious threat to the security of different cryptographic implementations such as Simple Power Analysis (SPA), Differential Power Analysis (DPA) and Correlation Power Analysis (CPA). Such attacks typically involve representing the relationship between the instantaneous power consumption of a device executing a cryptographic algorithm, and certain intermediate data handled. In the present paper, we conduct a simulation-based correlation power attack and we demonstrate the experimental procedure of this attack against AES using two different devices: Xilinx Virtex TM-5 FPGA (XC5VLX30) and 8051-compatible microcontroller. The experimental results show that the AES hardware implementations have better resistance against power attack and the validity of power model used to calculate hypothetical power depends statistically on the implementation. Read More Read Less

Abstract Friction stir welding (FSW) is a solid state welding process, which is used for the welding of aluminum alloys. It is important to note that the mechanical properties of the FSW process depends on various process parameters, such as spindle speed, feed rate and shoulder depth. In the present study, two different tool materials, such as high speed steel (HSS)... Friction stir welding (FSW) is a solid state welding process, which is used for the welding of aluminum alloys. It is important to note that the mechanical properties of the FSW process depends on various process parameters, such as spindle speed, feed rate and shoulder depth. In the present study, two different tool materials, such as high speed steel (HSS) and H13 are considered for the welding of Al 7075. This paper provides an insight into the measurement of force required for welding and external surface temperature measurement for three input parameters, namely spindle speed, feed rate and shoulder depth and their corresponding three levels. During experimentation the data related to force along x and z directions, and heat transferred to the tool are recorded using dynamometer and IR camera. Regression analysis is performed to predict the forces and heat transfer to the tool for different parametric combinations. Read More Read Less

Abstract Many methods have been proposed for combining multiple classifiers in pattern recognition such as Random Forest which uses decision trees for problem solving. In this paper, we propose a weighted vote-based classifier ensemble method. The proposed method is similar to Random Forest method in employing many decision trees and neural networks as classifiers. For evaluating the proposed weighting method, both... Many methods have been proposed for combining multiple classifiers in pattern recognition such as Random Forest which uses decision trees for problem solving. In this paper, we propose a weighted vote-based classifier ensemble method. The proposed method is similar to Random Forest method in employing many decision trees and neural networks as classifiers. For evaluating the proposed weighting method, both cases of decision tree and neural network classifiers are applied in experimental results. Main presumption of this method is that the reliability of the prediction of each classifier differs among classes. The proposed ensemble method is tested on a huge Persian data set of handwritten digits and shows improvement in comparison with competitors. Read More Read Less

Abstract Association rule mining can be considered as an optimization problem. A lot of algorithms have been introduced in the area, but they suffer from several limitations. Recently, imperialist competitive algorithm (ICA) has been introduced for solving different optimization problems. This paper proposes a novel ICA algorithm for automated mining of the interesting and readable association rules without considering the minimum... Association rule mining can be considered as an optimization problem. A lot of algorithms have been introduced in the area, but they suffer from several limitations. Recently, imperialist competitive algorithm (ICA) has been introduced for solving different optimization problems. This paper proposes a novel ICA algorithm for automated mining of the interesting and readable association rules without considering the minimum support and the minimum confidence thresholds. In this algorithm, the convergence rate and the computational efficiency of ICA have been improved. These modifications on ICA includes modification of the modeling the assimilation policy and combining it with a mutation operator of a genetic algorithm, which lead to increasing the exploration of the algorithm and on the other hand lead to the improvement of the convergence rate. The value of the mutation probability is automatically determined without requiring to be specified by the user. The experimental results indicate the efficiency of this algorithm in comparison with the methods of mining association rules based on the basic ICA and the genetic algorithm. Thus, these modifications are not only useful for association rule mining, but also it can be extended to other optimization problems. Read More Read Less