Journal of Cyber Security

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ISSN: 2579-0072 (print)
ISSN: 2579-0064 (online) Publication Frequency: Quarterly

About the Journal

Cybersecurity is the basis of information dissemination in the internet age.The Journal of Cyber Security focuses on all aspects of sciences, technologies, and applications relating to hardware security, software security and system security.

Current Issue - Vol.2, No.3, 2020 Most Viewed

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ARTICLE
High Visual Quality Image Steganography Based on Encoder-Decoder Model
Yan Wang^*, Zhangjie Fu, Xingming Sun
Journal of Cyber Security, Vol.2, No.3, pp. 115-121, 2020, DOI:10.32604/jcs.2020.012275
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 steganographic neural network based on encoder-decoder… More
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ARTICLE
Image Feature Computation in Encrypted Domain Based on Mean Value
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
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 features from encrypted images. Experiments… More
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ARTICLE
Extracting Campus’ Road Network from Walking GPS Trajectories
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
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 is able to effectively and… More
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ARTICLE
Efficient Virtual Resource Allocation in Mobile Edge Networks Based on Machine Learning
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
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 edge computing and caching abilities,… More
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ARTICLE
Guarantee Mechanism of Data Continuity for Electronic Record Based on Linked Data
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
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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ARTICLE
The Development of Proxy Re-Encryption
Yepeng Liu^{1, 2}, Yongjun Ren^{1, 2, *}, Qirun Wang³, Jinyue Xia⁴
Journal of Cyber Security, Vol.2, No.1, pp. 1-8, 2020, DOI:10.32604/jcs.2020.05878
Abstract With the diversification of electronic devices, cloud-based services have become the link between different devices. As a cryptosystem with secure conversion function, proxy re-encryption enables secure sharing of data in a cloud environment. Proxy re-encryption is a public key encryption system with ciphertext security conversion function. A semi-trusted agent plays the role of ciphertext conversion, which can convert the user ciphertext into the same plaintext encrypted by the principal’s public key. Proxy re-encryption has been a hotspot in the field of information security since it was proposed by Blaze et al. [Blaze, Bleumer and Strauss (1998)]. After 20 years of… More
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ARTICLE
A New Adaptive Regularization Parameter Selection Based on Expected Patch Log Likelihood
Jianwei Zhang¹, Ze Qin¹, Shunfeng Wang^{1, *}
Journal of Cyber Security, Vol.2, No.1, pp. 25-36, 2020, DOI:10.32604/jcs.2020.06429
Abstract Digital images have been applied to various areas such as evidence in courts. However, it always suffers from noise by criminals. This type of computer network security has become a hot issue that can’t be ignored. In this paper, we focus on noise removal so as to provide guarantees for computer network security. Firstly, we introduce a well-known denoising method called Expected Patch Log Likelihood (EPLL) with Gaussian Mixture Model as its prior. This method achieves exciting results in noise removal. However, there remain problems to be solved such as preserving the edge and meaningful details in image denoising, cause… More
Views:750 Downloads:232 Download PDF

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ARTICLE
An Amorphous 2-Dimensional Barcode
Han Jin¹, Shi Jin^{2, *}, Junfeng Wu²
Journal of Cyber Security, Vol.2, No.1, pp. 37-48, 2020, DOI:10.32604/jcs.2020.07209
Abstract Most existing 2-dimensional barcodes are designed with a fixed shape and clear area. Having a fixed shape and clear area makes the barcode difficult to lay out with other text and pictures. To solve this problem, an amorphous 2-dimensional barcode is presented in this paper. The barcode uses encoding graph units to encode data. There are two key points in a 2-dimensional barcode: One is the encoding graph unit, the other is its encoding rules. Because encoding graph units of a 2-dimensional barcode are surrounded by other graphics, the units should be self-positioned and distinguished from other units. This paper… More
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ARTICLE
Privacy-Preserving Genetic Algorithm Outsourcing in Cloud Computing
Leqi Jiang^{1, 2}, Zhangjie Fu^{1, 2, *}
Journal of Cyber Security, Vol.2, No.1, pp. 49-61, 2020, DOI:10.32604/jcs.2020.09308
Abstract Genetic Algorithm (GA) has been widely used to solve various optimization problems. As the solving process of GA requires large storage and computing resources, it is well motivated to outsource the solving process of GA to the cloud server. However, the algorithm user would never want his data to be disclosed to cloud server. Thus, it is necessary for the user to encrypt the data before transmitting them to the server. But the user will encounter a new problem. The arithmetic operations we are familiar with cannot work directly in the ciphertext domain. In this paper, a privacy-preserving outsourced genetic… More
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ARTICLE
Searchable Encryption with Access Control on Keywords in Multi-User Setting
Lei Li¹, Chungen Xu^{1, *}, Xiaoling Yu¹, Bennian Dou¹, Cong Zuo²
Journal of Cyber Security, Vol.2, No.1, pp. 9-23, 2020, DOI:10.32604/jcs.2020.06313
Abstract Searchable encryption technology makes it convenient to search encrypted data with keywords for people. A data owner shared his data with other users on the cloud server. For security, it is necessary for him to build a fine-grained and flexible access control mechanism. The main idea of this paper is to let the owner classify his data and then authorizes others according to categories. The cloud server maintains a permission matrix, which will be used to verify whether a trapdoor is valid or not. In this way we can achieve access control and narrow the search range at the same… More
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A Novel SINS/IUSBL Integration Navigation Strategy for Underwater Vehicles
Jian Wang¹, Tao Zhang^1,*, Bonan Jin¹, Shaoen Wu²
Journal of Cyber Security, Vol.1, No.1, pp. 1-10, 2019, DOI:10.32604/jcs.2019.05818
Abstract This paper presents a novel SINS/IUSBL integration navigation strategy for underwater vehicles. Based on the principle of inverted USBL (IUSBL), a SINS/IUSBL integration navigation system is established, where the USBL device and the SINS are both rigidly mounted onboard the underwater vehicle, and fully developed in-house, the integration navigation system will be able to provide the absolute position of the underwater vehicle with a transponder deployed at a known position beforehand. Furthermore, the state error equation and the measurement equation of SINS/IUSBL integration navigation system are derived, the difference between the position calculated by SINS and the absolute position obtained… More
Views:615 Downloads:454 Download PDF