The accuracy of the hardware Trojan detection method based on the traditional Euclidean distance discrimination is too low to meet the demand.For this reason,the side-channel power consumption information is collected and analized in this paper,and an exponential transformation optimization scheme is given based on the extra power consumption caused by the hardware Trojan module.This adjustable parameter is able to increase the recognition of the hardware Trojan.Experimental results show that compared with the traditional Euclidean distance discrimination method,the modified Euclidean distance scheme with adjustable parameters improves the discrimination performance by 29% and the Trojan detection accuracy reaches 98%.
In order to meet the varied Quality of Service(QoS) requirements of user tasks under cloud computing environment,taking into account of task deadline,scheduling budget and reliability,this paper proposes a task scheduling algorithm with multi-QoS constraints based on Discrete Particle Swarm Optimization(QoS-DPSO).Firstly,the QoS of the task is defined and its mathematical model is established.Then,the search space of DPSO is constrained according to the deadline and scheduling budget,and the fitness function of DPSO is redefined with reliability.Finally,according to the fitness value,the optimal task scheduling scheme is searched out.Experimental result shows that,compared with PSO,DPSO,DBC and EDF algorithm,QoS-DPSO has higher reliability in the case of meeting the deadline.Meanwhile,it has less influence on the performance of Makespan.
In order to realize the automatic electronization for source document,this paper proposes an automatic source document classification method based on image features.Based on the document layout analysis of rule hypothesis tree,an intelligent document-filling system with source document electronization is designed,which can be applied to mobile phones,pads and other mobile devices.During online reimbursement,document information can be automatically input to the financial information system merely by scanning the source document with the mobile device.It can not only eliminate the waste of time and resources caused by human input,but also ensure that the source document and each business account during online reimbursement are consistent.Experimental results show that the document classification accuracy of this method is 88.38%.The accuracy of intelligent document-filling is 87.22%,and it takes 5.042 s to deal with a document on average.The proposed method has high economic value and application value.