Impact of Class Balancing on Intrusion Detection System for WSN-BFSF Dataset

Wireless Sensor Networks (WSNs) are crucial to various applications within the Internet of Things (IoT), Industry 4.0, Cyber-Physical Systems (CPS), and smart manufacturing. The rising incidences of cyber-attacks highlight the critical need for advanced security measures in WSNs. This study aims to...

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Veröffentlicht in:	SN computer science 2024-11, Vol.5 (8), p.1105, Article 1105
Hauptverfasser:	Soni, Vaishali, Kukreja, Deepika, Malhotra, Amarjit
Format:	Artikel
Sprache:	eng
Schlagworte:	Algorithms Balancing Communications traffic Computer Imaging Computer Science Computer Systems Organization and Communication Networks Cyber-physical systems Cybersecurity Data integrity Data Structures and Information Theory Datasets Decision trees Deep learning Environmental monitoring Industrial applications Industry 4.0 Information Systems and Communication Service Internet of Things Intrusion detection systems Machine learning Neural networks Original Research Pattern Recognition and Graphics Performance evaluation Research methodology Resilient Cybersecurity Technology Advancements for Next Generation Ubiquitous and Emerging Applications in Cyber Physical Systems Sensors Smart cities Software Engineering/Programming and Operating Systems Vision Wireless sensor networks
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