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作品数：370被引量：683H指数：12
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Improved Supervised and Unsupervised Metaheuristic-Based Approaches to Detect Intrusion in Various Datasets被引量：1
《Computer Modeling in Engineering & Sciences》2023年第10期265-298,共34页Ouail Mjahed Salah El Hadaj El Mahdi El Guarmah Soukaina Mjahed 
Due to the increasing number of cyber-attacks,the necessity to develop efficient intrusion detection systems(IDS)is more imperative than ever.In IDS research,the most effectively used methodology is based on supervise...
关键词：Classification neural networks Fuzzy C-means metaheuristic algorithm CICIDS2017 intrusion detection system 
A New Hybrid Approach Using GWO and MFO Algorithms to Detect Network Attack被引量：1
《Computer Modeling in Engineering & Sciences》2023年第8期1277-1314,共38页Hasan Dalmaz Erdal Erdal Halil Muratünver 
supported by the Kırıkkale University Department of Scientific Research Projects (2022/022).
This paper addresses the urgent need to detect network security attacks,which have increased significantly in recent years,with high accuracy and avoid the adverse effects of these attacks.The intrusion detection syst...
关键词：NETWORK attack detection HYBRID GWO MFO 
Mining Bytecode Features of Smart Contracts to Detect PonziScheme on Blockchain被引量：2
《Computer Modeling in Engineering & Sciences》2021年第6期1069-1085,共17页Xiajiong Shen Shuaimin Jiang Lei Zhang 
This work was supported by the Scientific and Technological Project of Henan Province(Grant No.202102310340);Foundation of University Young Key Teacher of Henan Province(Grant Nos.2019GGJS040,2020GGJS027);Key Scientific Research Projects of Colleges and Universities in Henan Province(Grant No.21A110005);National Natual Science Foundation of China(61701170).
The emergence of smart contracts has increased the attention of industry and academia to blockchain technology,which is tamper-proofing,decentralized,autonomous,and enables decentralized applications to operate in unt...
关键词：Ponzi scheme blockchain security smart contracts anomaly detection 
A Novel Probabilistic Hybrid Model to Detect Anomaly in Smart Homes被引量：1
《Computer Modeling in Engineering & Sciences》2019年第12期815-834,共20页Sasan Saqaeeyan Hamid Haj Seyyed Javadi Hossein Amirkhani 
Anomaly detection in smart homes provides support to enhance the health and safety of people who live alone.Compared to the previous studies done on this topic,less attention has been given to hybrid methods.This pape...
关键词：Smart homes sensory data anomaly detection Bayesian networks ensemble method 
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