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 >

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 >

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 >

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 >

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 >

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 >

Jiuliang Liu^1,*, Xingming Sun¹, Ke Song²

Journal of Cyber Security, Vol.2, No.2, pp. 107-113, 2020, DOI:10.32604/jcs.2020.011222

Abstract In recent years, food safety problems have become increasingly serious. The traditional supply chain traceability solution faces some serious problems, such as centralization, data tampering, and high communication costs. To solve these problems, this paper proposes a food traceability framework based on permissioned blockchain. The proposed framework is decentralized, and the supply chain data of the framework cannot be tampered with. The framework divides supply chain entities into five organizations, and each organization deploys its own chaincode onto the blockchain. The chaincode specifies the query permission of each organization, which can effectively protect the user’s sensitive information. The PBFT consensus… More >

Chengshan Qian^1,2, Xue Li^1,*, Ning Sun², Yuqing Tian¹

Journal of Cyber Security, Vol.2, No.2, pp. 97-106, 2020, DOI:10.32604/jcs.2020.010548

Abstract With the development of the Internet of Things, the edge devices are increasing. Cyber security issues in edge computing have also emerged and caused great concern. We propose a defense strategy based on Mean field game to solve the security issues of edge user data during edge computing. Firstly, an individual cost function is formulated to build an edge user data security defense model. Secondly, we research the More >

Hanzhong Zheng¹, Dejie Shi^2,*

Journal of Cyber Security, Vol.2, No.2, pp. 85-96, 2020, DOI:10.32604/jcs.2020.010086

Abstract Distributed wireless sensor networks have been shown to be effective for environmental monitoring tasks, in which multiple sensors are deployed in a wide range of the environments to collect information or monitor a particular event, Wireless sensor networks, consisting of a large number of interacting sensors, have been successful in a variety of applications where they are able to share information using different transmission protocols through the communication network. However, the irregular and dynamic environment requires traditional wireless sensor networks to have frequent communications to exchange the most recent information, which can easily generate high communication cost through the collaborative… More >

Xiaojun Pan, Zhuoran Wang, Yanbin Sun^*

Journal of Cyber Security, Vol.2, No.2, pp. 69-83, 2020, DOI:10.32604/jcs.2020.010045

Abstract Programmable Logic Controllers (PLC), core of industrial control systems, is widely used in industrial control systems. The security of PLC is the key to the security of industrial control systems. Nowadays, a large number of industrial control systems are connected to the Internet which exposes the PLC equipment to the Internet, and thus raising security concerns. First of all, we introduce the basic principle of PLC in this paper. Then we analyze the PLC code security, firmware security, network security, virus vulnerability and Modbus communication protocol by reviewing the previous related work. Finally, we make a summary of the current… More >