Chaowei Lin^1,#, Feifei Lee^1,#,*, Jiawei Cai¹, Hanqing Chen¹, Qiu Chen^2,*

CMES-Computer Modeling in Engineering & Sciences, Vol.128, No.3, pp. 985-1006, 2021, DOI:10.32604/cmes.2021.014522

Abstract Scene recognition is a fundamental task in computer vision, which generally includes three vital stages, namely feature extraction, feature transformation and classification. Early research mainly focuses on feature extraction, but with the rise of Convolutional Neural Networks (CNNs), more and more feature transformation methods are proposed based on CNN features. In this work, a novel feature transformation algorithm called Graph Encoded Local Discriminative Region Representation (GEDRR) is proposed to find discriminative local representations for scene images and explore the relationship between the discriminative regions. In addition, we propose a method using the multi-head attention module to enhance and fuse convolutional… More >

BIOCELL, Vol.45, Suppl.3, pp. 1-117, 2021

Abstract This article has no abstract. More >

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 >

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 >

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 >

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 >

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 >

Chun Xu¹, Jiang Xu^1,2,*

Journal of Information Hiding and Privacy Protection, Vol.3, No.2, pp. 91-99, 2021, DOI:10.32604/jihpp.2021.019883

Abstract With the advent of the era of big data, the Provenance Method of electronic archives based on knowledge graph under the environment of big data has produced a large number of electronic archives due to the development of science and technology. How to guarantee the credential characteristics of electronic archives in the big data environment has attracted wide attention of the academic community. Provenance is an important technical means to guarantee the certification of electronic archives. In this paper, knowledge graph technology is used to provide the concept provenance of electronic archives in large data environment. It not only enriches… More >

Junjie Qu, Jin Liu^*, Chao Yu

Journal of Information Hiding and Privacy Protection, Vol.3, No.2, pp. 83-89, 2021, DOI:10.32604/jihpp.2021.017181

Abstract Scene text detection is an important step in the scene text reading system. There are still two problems during the existing text detection methods: (1) The small receptive of the convolutional layer in text detection is not sufficiently sensitive to the target area in the image; (2) The deep receptive of the convolutional layer in text detection lose a lot of spatial feature information. Therefore, detecting scene text remains a challenging issue. In this work, we design an effective text detector named Adaptive Multi-Scale HyperNet (AMSHN) to improve texts detection performance. Specifically, AMSHN enhances the sensitivity of target semantics in… More >

Xin Jin^*, Lanxin Su, Jitao Huang

Journal of Information Hiding and Privacy Protection, Vol.3, No.2, pp. 69-82, 2021, DOI:10.32604/jihpp.2021.014108

Abstract In traditional secret sharing schemes, all shared images containing secret segments are needed to recover secret information. In this paper, a reversible data hiding scheme based on Shamir secret sharing is used. Secret information can be recovered even if only part of the encrypted sharing is owned. This method can reduce the vulnerability of traditional encryption sharing schemes to attack. Before uploading the secret information to the cloud server, embed the encrypted n segments of secret information into n different pictures. The receiver downloads t images from the cloud server (t < n), extracts the encrypted information using the watermark… More >