书籍章节
MOAEOSCA: an enhanced multi-objective hybrid artificial ecosystem-based optimization with sine cosine algorithm for feature selection in botnet detection in IoT
Fatemeh Hosseini, Farhad Soleimanian Gharehchopogh, Mohammad Masdari
Islamic Azad University of Urmia
来源Multimedia Tools and Applications
年份2022
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40
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27.16
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学术脉络
学科主题
计算机 / AINetwork Security and Intrusion Detection
Data Stream Mining Techniques · Advanced Malware Detection Techniques
参考文献 71
Applied Predictive Modeling
被引 6,764Max Kühn, Kjell Johnson · 2013
A hybrid feature selection method for DNA microarray data
被引 115Li‐Yeh Chuang, Cheng‐Huei Yang, Cheng-Huei Yang · Computers in Biology and Medicine · 2011
Particle Swarm Optimization for Feature Selection in Classification: A Multi-Objective Approach
被引 1,275Bing Xue, Mengjie Zhang, Will N. Browne · IEEE Transactions on Cybernetics · 2012
此处列出前 3 条
引用本文 40
A multi-objective mutation-based dynamic Harris Hawks optimization for botnet detection in IoT
被引 133Farhad Soleimanian Gharehchopogh, Benyamın Abdollahzadeh, Saeid Barshandeh · Internet of Things · 2023
Anomaly-based intrusion detection system in the Internet of Things using a convolutional neural network and multi-objective enhanced Capuchin Search Algorithm
被引 100Hossein Asgharzadeh, Ali Ghaffari, Mohammad Masdari · Journal of Parallel and Distributed Computing · 2023
Botnets Unveiled: A Comprehensive Survey on Evolving Threats and Defense Strategies
被引 81Mehdi Asadi, Mohammad Ali Jabraeil Jamali, Arash Heidari · Transactions on Emerging Telecommunications Technologies · 2024
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