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A Data-Driven Combined Algorithm for Abnormal Power Loss Detection in the Distribution Network
IEEE Access, 2020 Power loss, consisting of technical loss (TL) and non-technical loss (NTL), reflects the effective utilization rate of energy and the management level of power grids.
Huan Long +5 more
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Ship Abnormal Behavior Detection Method Based on Optimized GRU Network
Journal of Marine Science and Engineering, 2022 Ship abnormal behavior detection is an essential part of maritime supervision. It can assist maritime departments to conduct real-time supervision on a certain sea area, avoid ship risks, and improve the efficiency of sea area supervision.
Hongdan Liu +3 more
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A Network Traffic Abnormal Detection Method: Sketch-Based Profile Evolution
Applied Sciences, 2023 Network anomaly detection faces unique challenges from dynamic traffic, including large data volume, few attributes, and human factors that influence it, making it difficult to identify typical behavioral characteristics.
Junkai Yi +3 more
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Algorithms, 2021 Considering the contradiction between limited node resources and high detection costs in mobile multimedia networks, an adaptive and lightweight abnormal node detection algorithm based on artificial immunity and game theory is proposed in order to ...
Yajing Zhang, Kai Wang, Jinghui Zhang
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An Intrusion Detection Model for Drone Communication Network in SDN Environment
Drones, 2022 Drone communication is currently a hot topic of research, and the use of drones can easily set up communication networks in areas with complex terrain or areas subject to disasters and has broad application prospects. One of the many challenges currently
Liang Kou +4 more
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Abnormal Data Detection Method Based on Ant Colony Algorithm [PDF]
Jisuanji gongcheng, 2016 Since the traditional outlier detection technology based on Omeasure needs to search all paths while detecting abnormal data and it is easy to make misjudgments under the scenario of less amount of data.Hence,it has obvious defects on the efficiency and
CAI Mei,LIU Bo
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Encrypted and obfuscation WebShell detection for high-speed network traffic
网络与信息安全学报, 2022 With the gradual development of traffic encryption and text obfuscation technologies, it is increasingly difficult to prevent complicated and malicious WebShell attack events in production environment using traditional detection methods based on text ...
Yihuai CAO Wei CHEN, Lifa WU, Fan ZHANG
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Applied Sciences, 2023 The process of human exploration of the universe has accelerated, and aerospace technology has developed rapidly. The health management and prognosis guarantee of spacecraft systems has become an important basic technology.
Kuan Zhang +3 more
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An Improved Transformer Framework for Well-Overflow Early Detection via Self-Supervised Learning
Energies, 2022 Oil drilling has always been considered a vital part of resource exploitation, and during which overflow is the most common and tricky threat that may cause blowout, a catastrophic accident. Therefore, to prevent further damage, it is necessary to detect
Wan Yi +4 more
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Collective Data Anomaly Detection Based on Reverse k-Nearest Neighbor Filtering
Shanghai Jiaotong Daxue xuebao, 2021 Aimed at the problem of group data anomaly detection with no data labels, a k-nearest neighbor (kNN) algorithm is proposed to detect group data anomalies in the unsupervised mode.
WU Jin’e, WANG Ruoyu, DUAN Qianqian, LI Guoqiang, JÜ Changjiang
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