Daofeng Li^1,3,*, Mingxing Luo², Bowen Zhao^1,3, Xiangdong Che⁴

CMC-Computers, Materials & Continua, Vol.56, No.3, pp. 447-465, 2018, DOI:10.3970/cmc.2018.03692

Abstract The secure issues of APK are very important in Android applications. In order to solve potential secure problems and copyrights issues in redevelopment of APK files, in this paper we propose a new APK redevelopment mechanism (APK-SAN). By exploring sanitizable signature technology, APK-SAN allows the original developer to authorize specified modifier who can redevelop the designated source code of APK files. Our scheme does not require interactions between the developer and modifiers. It can reduce the communication overhead and computational overhead for developers. Especially, the signature of redeveloped APK files is valid and maintains the More >

Zhiqiang Ruan^1,*, Haibo Luo¹, Wenzhong Lin¹, Jie Wang²

CMC-Computers, Materials & Continua, Vol.56, No.3, pp. 483-499, 2018, DOI:10.3970/cmc.2018.03687

Abstract Content caching is a core component in Named Data Networking (NDN), where content is cached in routers and served for future requests. However, the adversary can launch verification attack by placing poisoned data into the network with a legitimate name and allow the routers in the delivery path to frequently identify the content. Since NDN employs digital signature on each piece of content, verifying all content will exhaust routers’ computational resources due to the massive data in the network. In this paper, we propose a selective verification scheme upon the contents that are hit in More >

Ying Hu^1,2, Qinfei Ke¹, Zhe Li², Wanli Han³, Zhiyong Yan^2,*

CMC-Computers, Materials & Continua, Vol.56, No.3, pp. 517-527, 2018, DOI:10.3970/cmc.2018.03608

Abstract Cellulose nanofibers were synthesized by acetobacter xylinum (xylinum 1.1812). The cellulose nanofibers with 30-90 nm width constructed three-dimension network gel, which could be used as a wound dressing since it can provide moist environment to a wound. However, cellulose nanofibers have no antimicrobial activity to prevent wound infection. To achieve antimicrobial activity, the cellulose nanofibers can load cuprous oxide (Cu₂O) particles on the surface. The cuprous oxide is a kind of safe antibacterial material. The copper ions can be reduced into cuprous oxides by reducing agents such as glucose, N₂H₄ and sodium hypophosphite. The cellulose nanofibers network… More >

Manyu Jin¹, Tao Wang¹, Zexuan Ji^1,*, Xiaobo Shen²

CMC-Computers, Materials & Continua, Vol.56, No.3, pp. 501-515, 2018, DOI:10.3970/cmc.2018.02371

Abstract Perceptual image quality assessment (IQA) is one of the most indispensable yet challenging problems in image processing and computer vision. It is quite necessary to develop automatic and efficient approaches that can accurately predict perceptual image quality consistently with human subjective evaluation. To further improve the prediction accuracy for the distortion of color images, in this paper, we propose a novel effective and efficient IQA model, called perceptual gradient similarity deviation (PGSD). Based on the gradient magnitude similarity, we proposed a gradient direction selection method to automatically determine the pixel-wise perceptual gradient. The luminance and More >

Qing Tian^1,2,3,*, Meng Cao^1,2, Tinghuai Ma^1,2

CMC-Computers, Materials & Continua, Vol.56, No.3, pp. 467-482, 2018, DOI:10.3970/cmc.2018.02197

Abstract The research of human facial age estimation (AE) has attracted increasing attention for its wide applications. Up to date, a number of models have been constructed or employed to perform AE. Although the goal of AE can be achieved by either classification or regression, the latter based methods generally yield more promising results because the continuity and gradualness of human aging can naturally be preserved in age regression. However, the neighbor-similarity and ordinality of age labels are not taken into account yet. To overcome this issue, the cumulative attribute (CA) coding was introduced. Although such More >

Bo Xiao¹, Zhen Wang², Qi Liu^3,*, Xiaodong Liu³

CMC-Computers, Materials & Continua, Vol.56, No.3, pp. 365-379, 2018, DOI:10.3970/cmc.2018.01830

Abstract In recent years, the rapid development of big data technology has also been favored by more and more scholars. Massive data storage and calculation problems have also been solved. At the same time, outlier detection problems in mass data have also come along with it. Therefore, more research work has been devoted to the problem of outlier detection in big data. However, the existing available methods have high computation time, the improved algorithm of outlier detection is presented, which has higher performance to detect outlier. In this paper, an improved algorithm is proposed. The SMK-means More >

Jixian Zhang¹, Ning Xie¹, Xuejie Zhang¹, Kun Yue¹, Weidong Li^2,*, Deepesh Kumar³

CMC-Computers, Materials & Continua, Vol.56, No.1, pp. 123-135, 2018, DOI:10.3970/cmc.2018.03728

Abstract Resource allocation in auctions is a challenging problem for cloud computing. However, the resource allocation problem is NP-hard and cannot be solved in polynomial time. The existing studies mainly use approximate algorithms such as PTAS or heuristic algorithms to determine a feasible solution; however, these algorithms have the disadvantages of low computational efficiency or low allocate accuracy. In this paper, we use the classification of machine learning to model and analyze the multi-dimensional cloud resource allocation problem and propose two resource allocation prediction algorithms based on linear and logistic regressions. By learning a small-scale training More >

Yueyue Li^1,*, Zhong Huang¹, Yugang Ma², Guangjun Wen¹

CMC-Computers, Materials & Continua, Vol.56, No.1, pp. 35-46, 2018, DOI:10.3970/cmc.2018.03712

Abstract As a fundamental operation in ad hoc networks, broadcast could achieve efficient message propagations. Particularl y in the cognitive radio ad hoc network where unlicensed users have different sets of available channels, broadcasts are carried out on multiple channels. Accordingly, channel selection and collision avoidance are challenging issues to balance the efficiency against the reliability of broadcasting. In this paper, an anti-collision selective broadcast protocol, called acSB, is proposed. A channel selection algorithm based on limited neighbor information is considered to maximize success rates of transmissions once the sender and receiver have the same channel. More >

Zhen Yang^1,2, Yongfeng Huang^1,2,*, Xing Li^1,2, Wenyu Wang³

CMC-Computers, Materials & Continua, Vol.56, No.1, pp. 1-17, 2018, DOI:10.3970/cmc.2018.03697

Abstract To cope with privacy leakage caused by multimedia outsourcing and sharing, data provenance is used to analyze leaked multimedia and provide reactive accountability. Existing schemes of multimedia provenance are based on watermarking protocols. In an outsourcing scenario, existing schemes face two severe challenges: 1) when data leakage occurs, there exists a probability that data provenance results can be repudiated, in which case data provenance tracking fails; and 2) when outsourced data are shared, data encryption transfer causes key management burden outside the schemes, and privacy leakage threatens users. In this paper, we propose a novel More >

Qidi Wu¹, Yibing Li¹, Yun Lin^1,*, Ruolin Zhou²

CMC-Computers, Materials & Continua, Vol.56, No.1, pp. 91-105, 2018, DOI:10.3970/cmc.2018.02771

Abstract The conventional sparse representation-based image classification usually codes the samples independently, which will ignore the correlation information existed in the data. Hence, if we can explore the correlation information hidden in the data, the classification result will be improved significantly. To this end, in this paper, a novel weighted supervised spare coding method is proposed to address the image classification problem. The proposed method firstly explores the structural information sufficiently hidden in the data based on the low rank representation. And then, it introduced the extracted structural information to a novel weighted sparse representation model More >