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Yan Wang^*, Zhangjie Fu, Xingming Sun
Journal of Cyber Security, Vol.2, No.3, pp. 115-121, 2020, DOI:10.32604/jcs.2020.012275 - 14 September 2020
Abstract Nowadays, with the popularization of network technology, more and more people are concerned about the problem of cyber security. Steganography, a technique dedicated to protecting peoples’ private data, has become a hot topic in the research field. However, there are still some problems in the current research. For example, the visual quality of dense images generated by some steganographic algorithms is not good enough; the security of the steganographic algorithm is not high enough, which makes it easy to be attacked by others. In this paper, we propose a novel high visual quality image More >

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1315

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ARTICLE

Xiangshu Ou¹, Mingfang Jiang^2,*, Shuai Li¹, Yao Bai¹
Journal of Cyber Security, Vol.2, No.3, pp. 123-130, 2020, DOI:10.32604/jcs.2020.09703 - 14 September 2020
Abstract In smart environments, more and more teaching data sources are uploaded to remote cloud centers which promote the development of the smart campus. The outsourcing of massive teaching data can reduce storage burden and computational cost, but causes some privacy concerns because those teaching data (especially personal image data) may contain personal private information. In this paper, a privacy-preserving image feature extraction algorithm is proposed by using mean value features. Clients use block scrambling and chaotic map to encrypt original images before uploading to the remote servers. Cloud servers can directly extract image mean value More >

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1959

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1170

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Yizhi Liu, Rutian Qing, Jianxun Liu^*, Zhuhua Liao, Yijiang Zhao, Hong Ouyang
Journal of Cyber Security, Vol.2, No.3, pp. 131-140, 2020, DOI:10.32604/jcs.2020.010625 - 14 September 2020
Abstract Road network extraction is vital to both vehicle navigation and road planning. Existing approaches focus on mining urban trunk roads from GPS trajectories of floating cars. However, path extraction, which plays an important role in earthquake relief and village tour, is always ignored. Addressing this issue, we propose a novel approach of extracting campus’ road network from walking GPS trajectories. It consists of data preprocessing and road centerline generation. The patrolling GPS trajectories, collected at Hunan University of Science and Technology, were used as the experimental data. The experimental evaluation results show that our approach More >

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2014

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1410

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Li Li^1,*, Yifei Wei¹, Lianping Zhang², Xiaojun Wang³
Journal of Cyber Security, Vol.2, No.3, pp. 141-150, 2020, DOI:10.32604/jcs.2020.010764 - 14 September 2020
Abstract The rapid growth of Internet content, applications and services require more computing and storage capacity and higher bandwidth. Traditionally, internet services are provided from the cloud (i.e., from far away) and consumed on increasingly smart devices. Edge computing and caching provides these services from nearby smart devices. Blending both approaches should combine the power of cloud services and the responsiveness of edge networks. This paper investigates how to intelligently use the caching and computing capabilities of edge nodes/cloudlets through the use of artificial intelligence-based policies. We first analyze the scenarios of mobile edge networks with… More >

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1327

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Yuyi Huo¹, Shi Zhou³, Ruiguo Hu¹, Yongjun Ren^1,2,*, Jinyue Xia⁴
Journal of Cyber Security, Vol.2, No.3, pp. 151-156, 2020, DOI:10.32604/jcs.2020.010963 - 14 September 2020
Abstract In the field of electronic record management, especially in the current big data environment, data continuity has become a new topic that is as important as security and needs to be studied. This paper decomposes the data continuity guarantee of electronic record into a set of data protection requirements consisting of data relevance, traceability and comprehensibility, and proposes to use the associated data technology to provide an integrated guarantee mechanism to meet the above three requirements. More >

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