Journal of Cyber Security

The old submission system has been replaced by a new version for the journal "Journal of Cyber Security". Please be noticed, the old submission system for this journal is now no longer accessible. The email ID registered to the old submission system can be used to log in to the new system by using your registered email address. If you have trouble logging in, please click on "Forgot your password" to reset your password. Please click here to access the new submission system. If you meet any questions, please do not hesitate to contact us.

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.4, 2020 Most Viewed

OPEN ACCESS
ARTICLE
Large-Scale KPI Anomaly Detection Based on Ensemble Learning and Clustering
Ji Qian¹, Fang Liu^2,*, Donghui Li³, Xin Jin⁴, Feng Li⁴
Journal of Cyber Security, Vol.2, No.4, pp. 157-166, 2020, DOI:10.32604/jcs.2020.011169
Abstract Anomaly detection using KPI (Key Performance Indicator) is critical for Internet-based services to maintain high service availability. However, given the velocity, volume, and diversified nature of monitoring data, it is difficult to obtain enough labelled data to build an accurate anomaly detection model for using supervised machine leaning methods. In this paper, we propose an automatic and generic transfer learning strategy: Detecting anomalies on a new KPI by using pretrained model on existing selected labelled KPI. Our approach, called KADT (KPI Anomaly Detection based on Transfer Learning), integrates KPI clustering and model pretrained techniques. KPI clustering is used to obtain… More
Views:146 Downloads:128 Download PDF

OPEN ACCESS
ARTICLE
Excellent Practical Byzantine Fault Tolerance
Huanrong Tang, Yaojing Sun, Jianquan Ouyang^*
Journal of Cyber Security, Vol.2, No.4, pp. 167-182, 2020, DOI:10.32604/jcs.2020.011341
Abstract With the rapid development of blockchain technology, more and more people are paying attention to the consensus mechanism of blockchain. Practical Byzantine Fault Tolerance (PBFT), as the first efficient consensus algorithm solving the Byzantine Generals Problem, plays an important role. But PBFT also has its problems. First, it runs in a completely closed environment, and any node can't join or exit without rebooting the system. Second, the communication complexity in the network is as high as O(n2), which makes the algorithm only applicable to small-scale networks. For these problems, this paper proposes an Optimized consensus algorithm, Excellent Practical Byzantine Fault… More
Views:143 Downloads:85 Download PDF

OPEN ACCESS
ARTICLE
A Two-Stage Highly Robust Text Steganalysis Model
Enlu Li¹, Zhangjie Fu^1,2,3,*, Siyu Chen¹, Junfu Chen¹
Journal of Cyber Security, Vol.2, No.4, pp. 183-190, 2020, DOI:10.32604/jcs.2020.015010
Abstract With the development of natural language processing, deep learning, and other technologies, text steganography is rapidly developing. However, adversarial attack methods have emerged that gives text steganography the ability to actively spoof steganalysis. If terrorists use the text steganography method to spread terrorist messages, it will greatly disturb social stability. Steganalysis methods, especially those for resisting adversarial attacks, need to be further improved. In this paper, we propose a two-stage highly robust model for text steganalysis. The proposed method analyzes and extracts anomalous features at both intra-sentential and inter-sentential levels. In the first phase, every sentence is first transformed into… More
Views:134 Downloads:108 Download PDF

OPEN ACCESS
ARTICLE
Improvement of the Firework Algorithm for Classification Problems
Yu Xue, Sow Alpha Amadou^*, Yan Zhao
Journal of Cyber Security, Vol.2, No.4, pp. 191-196, 2020, DOI:10.32604/jcs.2020.014045
Abstract Attracted numerous analysts’ consideration, classification is one of the primary issues in Machine learning. Numerous evolutionary algorithms (EAs) were utilized to improve their global search ability. In the previous years, many scientists have attempted to tackle this issue, yet regardless of the endeavors, there are still a few inadequacies. Based on solving the classification problem, this paper introduces a new optimization classification model, which can be applied to the majority of evolutionary computing (EC) techniques. Firework algorithm (FWA) is one of the EC methods, Although the Firework algorithm (FWA) is a proficient algorithm for solving complex optimization issue. The proficient… More
Views:108 Downloads:84 Download PDF

OPEN ACCESS
REVIEW
An Overview of Face Manipulation Detection
Xingwang Ju^*
Journal of Cyber Security, Vol.2, No.4, pp. 197-207, 2020, DOI:10.32604/jcs.2020.014310
Abstract Due to the power of editing tools, new types of fake faces are being created and synthesized, which has attracted great attention on social media. It is reasonable to acknowledge that one human cannot distinguish whether the face is manipulated from the real faces. Therefore, the detection of face manipulation becomes a critical issue in digital media forensics. This paper provides an overview of recent deep learning detection models for face manipulation. Some public dataset used for face manipulation detection is introduced. On this basis, the challenges for the research and the potential future directions are analyzed and discussed. More
Views:143 Downloads:117 Download PDF

OPEN ACCESS
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
Views:1004 Downloads:439 Download PDF

OPEN ACCESS
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:980 Downloads:388 Download PDF

OPEN ACCESS
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
Views:971 Downloads:404 Download PDF

OPEN ACCESS
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
Views:966 Downloads:431 Download PDF

OPEN ACCESS
ARTICLE
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:954 Downloads:632 Download PDF

OPEN ACCESS
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
Views:922 Downloads:424 Download PDF