Automatically predicting cyber attack preference with attributed heterogeneous attention networks and transductive learning

Author:

Zhao Jun,Liu Xudong,Yan Qiben,Li Bo,Shao Minglai,Peng Hao,Sun Lichao

Funder

Beihang University

Publisher

Elsevier BV

Subject

Law,General Computer Science

Reference33 articles.

1. SAIRF: a similarity approach for attack intention recognition using fuzzy min-max neural network;Ahmed;J. Comput. Sci.,2018

2. Using the pattern-of-life in networks to improve the effectiveness of intrusion detection systems;Aparicio,2017

3. Execution anomaly detection in large-scale systems through console log analysis;Bao;J. Syst. Softw.,2018

4. Predicting and detecting emerging cyberattack patterns using streamworks;Chin Jr.,2014

5. Devlin, J., Chang, M.-W., Lee, K., Toutanova, K., 2018. BERT: pre-training of deep bidirectional transformers for language understanding. arXiv:1810.04805.

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