Journal of Cyber Security

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.3, No.2, 2021 Most Viewed

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Multi-UAV Cooperative GPS Spoofing Based on YOLO Nano
Yongjie Ding¹, Zhangjie Fu^1,2,*
Journal of Cyber Security, Vol.3, No.2, pp. 69-78, 2021, DOI:10.32604/jcs.2021.019105
Abstract In recent years, with the rapid development of the drone industry, drones have been widely used in many fields such as aerial photography, plant protection, performance, and monitoring. To effectively control the unauthorized flight of drones, using GPS spoofing attacks to interfere with the flight of drones is a relatively simple and highly feasible attack method. However, the current method uses ground equipment to carry out spoofing attacks. The attack range is limited and the flexibility is not high. Based on the existing methods, this paper proposes a multi-UAV coordinated GPS spoofing scheme based on YOLO Nano, which can launch… More
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Pedestrian Crossing Detection Based on HOG and SVM
Yunzuo Zhang^*, Kaina Guo, Wei Guo, Jiayu Zhang, Yi Li
Journal of Cyber Security, Vol.3, No.2, pp. 79-88, 2021, DOI:10.32604/jcs.2021.017082
Abstract In recent years, pedestrian detection is a hot research topic in the field of computer vision and artificial intelligence, it is widely used in the field of security and pedestrian analysis. However, due to a large amount of calculation in the traditional pedestrian detection technology, the speed of many systems for pedestrian recognition is very limited. But in some restricted areas, such as construction hazardous areas, real-time detection of pedestrians and cross-border behaviors is required. To more conveniently and efficiently detect whether there are pedestrians in the restricted area and cross-border behavior, this paper proposes a pedestrian cross-border detection method… More
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Computational Intelligent Techniques To Detect DDOS Attacks : A Survey
Isha Sood^*, Varsha Sharma
Journal of Cyber Security, Vol.3, No.2, pp. 89-106, 2021, DOI:10.32604/jcs.2021.018623
Abstract The Internet is often targeted by the Distributed Denial of Service (DDOS) Attacks that deliberately utilize resources and bandwidth to prohibit access to potential users. The attack possibility is that the packets are filled massively. A DOS attack is launched by a single source, while a DDOS attack is originated from numerous resources. DDoS attacks are not capable of stealing website user’s information. The prime motive of the DDoS attacks is to devastate the website resources. Distributed Denial of Service (DDoS) attacks are disruptive to internet access on the Network. The attitude of the customer to get fast and reliable… More
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Blockchain Based Secure Solution for Cloud Storage: A Model for Synchronizing Industry 4.0 and IIoT
Prakhar Sahu^1,*, S. K. Singh¹, Arun Kumar Singh²
Journal of Cyber Security, Vol.3, No.2, pp. 107-115, 2021, DOI:10.32604/jcs.2021.020831
Abstract Industry 4.0 is one of the hot topic of today’s world where everything in the industry will be data driven and technological advancements will take place accordingly. In the fourth phase of industrial revolution, manufacturers are dependent upon data produced by the consumers to invent, innovate or change anything for the product. Internet of things devices like OBD, RFID, IIoT, Smart devices are the major source of data generation and represents trends in the industry. Since the IoT device are vulnerable to hackers due to its limitation, consumer data security should be tighten up and enhanced. This paper gives an… More
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A Hybrid Algorithm Based on PSO and GA for Feature Selection
Yu Xue^1,*, Asma Aouari¹, Romany F. Mansour², Shoubao Su³
Journal of Cyber Security, Vol.3, No.2, pp. 117-124, 2021, DOI:10.32604/jcs.2021.017018
Abstract One of the main problems of machine learning and data mining is to develop a basic model with a few features, to reduce the algorithms involved in classification’s computational complexity. In this paper, the collection of features has an essential importance in the classification process to be able minimize computational time, which decreases data size and increases the precision and effectiveness of specific machine learning activities. Due to its superiority to conventional optimization methods, several metaheuristics have been used to resolve FS issues. This is why hybrid metaheuristics help increase the search and convergence rate of the critical algorithms. A… More
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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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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:1464 Downloads:846 Download PDF

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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
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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:1413 Downloads:775 Download PDF

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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:1403 Downloads:847 Download PDF

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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:1372 Downloads:872 Download PDF