Pengcheng Liu^{1, †}, Xiaojun Wang^{1, †}, S. R. Chaudhry¹, Khalid Javeed², Yue Ma^{3, *}, Martin Collier¹

CMC-Computers, Materials & Continua, Vol.57, No.3, pp. 353-363, 2018, DOI:10.32604/cmc.2018.04142

Abstract The combination of traditional processors and Field Programmable Gate Arrays (FPGA) is shaping the future networking platform for intensive computation in resource-constrained networks and devices. These networks present two key challenges of security and resource limitations. Lightweight ciphers are suitable to provide data security in such constrained environments. Implementing the lightweight PRESENT encryption algorithm in a reconfigurable platform (FPGAs) can offer secure communication service and flexibility. This paper presents hardware acceleration of security primitives in SDN using NETFPGA-10G. We implement an efficient design of the PRESENT algorithm for faster, smaller and lower power consumption hardware More >

V. Gopinath¹, R. S. Bhuvaneswaran²

CMC-Computers, Materials & Continua, Vol.57, No.2, pp. 341-352, 2018, DOI:10.32604/cmc.2018.04006

Abstract Cloud computing is the highly demanded technology nowadays. Due to the service oriented architecture, seamless accessibility and other advantages of this advent technology, many transaction rich applications are making use of it. At the same time, it is vulnerable to hacks and threats. Hence securing this environment is of at most important and many research works are being reported focusing on it. This paper proposes a safe storage mechanism using Elliptic curve cryptography (ECC) for the Transaction Rich Applications (TRA). With ECC based security scheme, the security level of the protected system will be increased More >

Xiaodong Liu¹, Qi Liu^1,*

CMC-Computers, Materials & Continua, Vol.57, No.2, pp. 179-194, 2018, DOI:10.32604/cmc.2018.04025

Abstract In a home energy management system (HEMS), appliances are becoming diversified and intelligent, so that certain simple maintenance work can be completed by appliances themselves. During the measurement, collection and transmission of electricity load data in a HEMS sensor network, however, problems can be caused on the data due to faulty sensing processes and/or lost links, etc. In order to ensure the quality of retrieved load data, different solutions have been presented, but suffered from low recognition rates and high complexity. In this paper, a validation and repair method is presented to detect potential failures More >

Yong Jiang¹, Xiaolin Zhong^1,*, Yong Guo¹, Meixia Duan²

CMC-Computers, Materials & Continua, Vol.57, No.2, pp. 321-340, 2018, DOI:10.32604/cmc.2018.03796

Abstract The emergency communication system based on rail is an unconventional emergency communication mode, it is a complement equipment for that conventional communication system can’t work while tunnel mine accident occurs. Medium of transmission channel is the widely existing rail in the tunnel. In this paper we analyzed the characteristics of the rail transmission channel, verified the feasibility that information is transmitted by vibration signal in rail, we proposed the realization plan of the system. Communication protocol and processing mechanism suitable for rail transmission are designed according to the characteristics of channel bandwidth and low data… More >

Xuwei Tang¹, Juan Xu^1,2,3,*, Bojia Duan¹

CMC-Computers, Materials & Continua, Vol.57, No.2, pp. 307-319, 2018, DOI:10.32604/cmc.2018.03693

Abstract Grover's search algorithm is one of the most significant quantum algorithms, which can obtain quadratic speedup of the extensive search problems. Since Grover's search algorithm cannot be implemented on a real quantum computer at present, its quantum simulation is regarded as an effective method to study the search performance. When simulating the Grover's algorithm, the storage space required is exponential, which makes it difficult to simulate the high-qubit Grover's algorithm. To this end, we deeply study the storage problem of probability amplitude, which is the core of the Grover simulation algorithm. We propose a novel… More >

Chak Fong Cheang^1,*, Yiqin Wang¹, Zhiping Cai², Gen Xu¹

CMC-Computers, Materials & Continua, Vol.57, No.2, pp. 297-306, 2018, DOI:10.32604/cmc.2018.03808

Abstract Cloud computing provides easy and on-demand access to computing resources in a configurable pool. The flexibility of the cloud environment attracts more and more network services to be deployed on the cloud using groups of virtual machines (VMs), instead of being restricted on a single physical server. When more and more network services are deployed on the cloud, the detection of the intrusion likes Distributed Denial-of-Service (DDoS) attack becomes much more challenging than that on the traditional servers because even a single network service now is possibly provided by groups of VMs across the cloud… More >

Baojia Wang¹, Pingzeng Liu^1,*, Zhang Chao¹, Wang Junmei¹, Weijie Chen¹, Ning Cao², Gregory M.P. O’Hare³, Fujiang Wen¹

CMC-Computers, Materials & Continua, Vol.57, No.2, pp. 283-296, 2018, DOI:10.32604/cmc.2018.03791

Abstract Garlic prices fluctuate dramatically in recent years and it is very difficult to predict garlic prices. The autoregressive integrated moving average (ARIMA) model is currently the most important method for predicting garlic prices. However, the ARIMA model can only predict the linear part of the garlic prices, and cannot predict its nonlinear part. Therefore, it is urgent to adopt a method to analyze the nonlinear characteristics of garlic prices. After comparing the advantages and disadvantages of several major prediction models which used to forecast nonlinear time series, using support vector machine (SVM) model to predict… More >

Kehua Yang^1,2,*, Tian Tan¹, Wei Zhang¹

CMC-Computers, Materials & Continua, Vol.57, No.2, pp. 269-281, 2018, DOI:10.32604/cmc.2018.03696

Abstract Dempster-Shafer (D-S) evidence theory is a key technology for integrating uncertain information from multiple sources. However, the combination rules can be paradoxical when the evidence seriously conflict with each other. In the paper, we propose a novel combination algorithm based on unsupervised Density-Based Spatial Clustering of Applications with Noise (DBSCAN) density clustering. In the proposed mechanism, firstly, the original evidence sets are preprocessed by DBSCAN density clustering, and a successfully focal element similarity criteria is used to mine the potential information between the evidence, and make a correct measure of the conflict evidence. Then, two More >

Jun Xie¹, Chong Wang¹, Jiaxiang Cai², Fuhong Cai^1,*

CMC-Computers, Materials & Continua, Vol.57, No.2, pp. 261-268, 2018, DOI:10.32604/cmc.2018.03669

Abstract The rapid quantification method of human serum glucose was established by using the Fourier transform infrared spectroscopy (FTIR) and attenuated total reflection (ATR). By the subtracted spectra between glucose aqueous solution and de-ionized water, absorption peaks are calculated in fingerprint area. Based on these absorption peaks and multiple linear regression (MLR) model, discrete band selection method of absorption peaks disturbance model (APDM) was developed. 5 absorption peaks 1150 cm^-1, 1103 cm^-1, 1078 cm^-1, 1034 cm^-1, 991 cm^-1 were found in fingerprint area. Used these absorption peaks to establish absorption peaks disturbance model, the optimal wavelength combinations are 1140 More >

Xiaoping Zhao¹, Jiaxin Wu^1,*, Yonghong Zhang², Yunqing Shi³, Lihua Wang²

CMC-Computers, Materials & Continua, Vol.57, No.2, pp. 223-242, 2018, DOI:10.32604/cmc.2018.02490

Abstract With the rapid development of mechanical equipment, mechanical health monitoring field has entered the era of big data. Deep learning has made a great achievement in the processing of large data of image and speech due to the powerful modeling capabilities, this also brings influence to the mechanical fault diagnosis field. Therefore, according to the characteristics of motor vibration signals (nonstationary and difficult to deal with) and mechanical ‘big data’, combined with deep learning, a motor fault diagnosis method based on stacked de-noising auto-encoder is proposed. The frequency domain signals obtained by the Fourier transform More >