Hybrid dual-channel convolution neural network (DCCNN) with spider monkey optimization (SMO) for cyber security threats detection in internet of things
被引:0
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作者:
Vijayalakshmi, P.
论文数: 0引用数: 0
h-index: 0
机构:
Research Scholar, P.K.R Arts College for Women, Tamil Nadu, Gobichettipalayam, IndiaResearch Scholar, P.K.R Arts College for Women, Tamil Nadu, Gobichettipalayam, India
Vijayalakshmi, P.
[1
]
Karthika, D.
论文数: 0引用数: 0
h-index: 0
机构:
School of Computer Science, VET Institute of Arts and Science (Co-education) College, Tamil Nadu, Erode, IndiaResearch Scholar, P.K.R Arts College for Women, Tamil Nadu, Gobichettipalayam, India
Karthika, D.
[2
]
机构:
[1] Research Scholar, P.K.R Arts College for Women, Tamil Nadu, Gobichettipalayam, India
[2] School of Computer Science, VET Institute of Arts and Science (Co-education) College, Tamil Nadu, Erode, India
来源:
Measurement: Sensors
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2023年
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27卷
关键词:
Compilation and indexing terms;
Copyright 2025 Elsevier Inc;
D O I:
100783
中图分类号:
学科分类号:
摘要:
Automation - Convolution - Crime - Cybersecurity - Data mining - Deep learning - Intelligent buildings - Learning algorithms - Malware - Support vector machines