An attack-aware shipping enterprise cybersecurity framework based on deep learning-Reference-Cited by-同舟云学术

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An attack-aware shipping enterprise cybersecurity framework based on deep learning

Published:2023-07-30 Issue: Volume:5 Page:115-119
ISSN:
Container-title:2023 11th International Conference on Information Systems and Computing Technology (ISCTech)
language:
Short-container-title:

Author:

Wu Zhongdai¹,Wang Junxiang²,Shi Qiangqiang³,Zhang Jinxu³,Liu Jin³,Zhang Xiliang³

Affiliation:

1. Shanghai Ship and Shipping Research Institute,State Key Laboratory of Maritime Technology and Safety,Shanghai,China

2. COSCO SHIPPING TECHNOLOGY CO., LTD,Cloud Compute Data Center,Shanghai,China

3. Shanghai Maritime University,College of Information Engineering,Shanghai,China

Funder

Research and Development

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10438204/10438228/10438309.pdf?arnumber=10438309

Reference17 articles.

1. The future development and restructuring of the international shipping industry: Conference report

2. The COVID-19 Pandemic: Conceptual Framework for the Global Economic Impacts and Recovery

3. Maritime Cyber Risk Management: An Experimental Ship Assessment

4. Critical infrastructures cybersecurity and the maritime sector

5. Evaluating cybersecurity risks in the maritime industry: a literature review;Chang

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A machine learning approach towards reviewing the role of ‘Internet of Things’ in the shipping industry;Journal of Shipping and Trade;2024-05-20

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