Intrusion Detection System using Autoencoder based Deep Neural Network for SME Cybersecurity
2021 5th International Conference on Informatics and Computational Sciences (ICICoS)(2021)
摘要
This paper proposes an intermediate solution using artificial intelligence to monitor any potential threat for SME, specifically in Malaysia. The proposed method uses Autoencoder based Deep Neural Network (AEDNN) trained with NSL-KDD dataset to efficiently detect possible cyber threats. This paper proposed AEDNN to detect automated threats cybersecurity and it does not intend to replace any existi...
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关键词
Deep learning,Training,Neural networks,Telecommunication traffic,Feature extraction,Data models,Real-time systems
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