[HTML][HTML] Intrusion detection system using deep neural network for in-vehicle network security
MJ Kang, JW Kang - PloS one, 2016 - journals.plos.org
A novel intrusion detection system (IDS) using a deep neural network (DNN) is proposed to
enhance the security of in-vehicular network. The parameters building the DNN structure are …
enhance the security of in-vehicular network. The parameters building the DNN structure are …
[HTML][HTML] Intrusion Detection System Using Deep Neural Network for In-Vehicle Network Security
MJ Kang, JW Kang - PLoS ONE, 2016 - ncbi.nlm.nih.gov
A novel intrusion detection system (IDS) using a deep neural network (DNN) is proposed to
enhance the security of in-vehicular network. The parameters building the DNN structure are …
enhance the security of in-vehicular network. The parameters building the DNN structure are …
[PDF][PDF] Intrusion Detection System Using Deep Neural Network for In-Vehicle Network Security
MJ Kang, JW Kang - PLoS ONE, 2016 - dspace.ewha.ac.kr
A novel intrusion detection system (IDS) using a deep neural network (DNN) is proposed to
enhance the security of in-vehicular network. The parameters building the DNN structure are …
enhance the security of in-vehicular network. The parameters building the DNN structure are …
[PDF][PDF] Intrusion Detection System Using Deep Neural Network for In-Vehicle Network Security
MJ Kang, JW Kang - PLoS ONE, 2016 - cse.msu.edu
A novel intrusion detection system (IDS) using a deep neural network (DNN) is proposed to
enhance the security of in-vehicular network. The parameters building the DNN structure are …
enhance the security of in-vehicular network. The parameters building the DNN structure are …
Intrusion Detection System Using Deep Neural Network for In-Vehicle Network Security
MJ Kang, JW Kang - PLoS ONE, 2016 - go.gale.com
A novel intrusion detection system (IDS) using a deep neural network (DNN) is proposed to
enhance the security of in-vehicular network. The parameters building the DNN structure are …
enhance the security of in-vehicular network. The parameters building the DNN structure are …
[PDF][PDF] Intrusion Detection System Using Deep Neural Network for In-Vehicle Network Security
MJ Kang, JW Kang - PLoS ONE, 2016 - covert.io
A novel intrusion detection system (IDS) using a deep neural network (DNN) is proposed to
enhance the security of in-vehicular network. The parameters building the DNN structure are …
enhance the security of in-vehicular network. The parameters building the DNN structure are …
Intrusion Detection System Using Deep Neural Network for In-Vehicle Network Security
MJ Kang, JW Kang - PloS one, 2016 - pubmed.ncbi.nlm.nih.gov
A novel intrusion detection system (IDS) using a deep neural network (DNN) is proposed to
enhance the security of in-vehicular network. The parameters building the DNN structure are …
enhance the security of in-vehicular network. The parameters building the DNN structure are …
[引用][C] Intrusion Detection System Using Deep Neural Network for In-Vehicle Network Security
MJ Kang, JW Kang - PLOS ONE, 2016 - cir.nii.ac.jp
Intrusion Detection System Using Deep Neural Network for In-Vehicle Network Security |
CiNii Research CiNii 国立情報学研究所 学術情報ナビゲータ[サイニィ] 詳細へ移動 検索フォーム …
CiNii Research CiNii 国立情報学研究所 学術情報ナビゲータ[サイニィ] 詳細へ移動 検索フォーム …
[引用][C] Intrusion Detection System Using Deep Neural Network for In-Vehicle Network Security
MJ Kang, JW Kang - PLoS ONE, 2016 - ui.adsabs.harvard.edu
Intrusion Detection System Using Deep Neural Network for In-Vehicle Network Security -
NASA/ADS Now on home page ads icon ads Enable full ADS view NASA/ADS Intrusion …
NASA/ADS Now on home page ads icon ads Enable full ADS view NASA/ADS Intrusion …
Intrusion Detection System Using Deep Neural Network for In-Vehicle Network Security.
MJ Kang, JW Kang - Plos one, 2016 - europepmc.org
A novel intrusion detection system (IDS) using a deep neural network (DNN) is proposed to
enhance the security of in-vehicular network. The parameters building the DNN structure are …
enhance the security of in-vehicular network. The parameters building the DNN structure are …