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Recurrent neural network based password generation for group attribute context-ware applications

  • Ministry of Public Security of the People's Republic of China
  • Beijing Public Security Bureau
  • East China Normal University

科研成果: 书/报告/会议事项章节会议稿件同行评审

摘要

Password generation becomes an emerging issue to improve the efficiency of authentication in social engineering and plays an important role in checking the security vulnerability since the weak password may lead to possible attacks for different users. To determine the password vulnerability and to enhance user privacy, a recurrent neural network (i.e., long short-term memory (LSTM) and gated recurrent unit (GRU)) based password generation scheme is proposed for group attribute context-ware applications. In this work, different group attributes are considered for modeling training, natural language processing is adopted for password prediction, and password similarity computing is established for analyzing the group relations. The password strength evaluation is performed on the fixed length password based on generation probability. It indicates that group attributes based password generation model has more accuracy than the ordinary model.

源语言英语
主期刊名Proceedings - 21st IEEE International Conference on High Performance Computing and Communications, 17th IEEE International Conference on Smart City and 5th IEEE International Conference on Data Science and Systems, HPCC/SmartCity/DSS 2019
编辑Zheng Xiao, Laurence T. Yang, Pavan Balaji, Tao Li, Keqin Li, Albert Zomaya
出版商Institute of Electrical and Electronics Engineers Inc.
2688-2693
页数6
ISBN(电子版)9781728120584
DOI
出版状态已出版 - 8月 2019
活动21st IEEE International Conference on High Performance Computing and Communications, 17th IEEE International Conference on Smart City and 5th IEEE International Conference on Data Science and Systems, HPCC/SmartCity/DSS 2019 - Zhangjiajie, 中国
期限: 10 8月 201912 8月 2019

出版系列

姓名Proceedings - 21st IEEE International Conference on High Performance Computing and Communications, 17th IEEE International Conference on Smart City and 5th IEEE International Conference on Data Science and Systems, HPCC/SmartCity/DSS 2019

会议

会议21st IEEE International Conference on High Performance Computing and Communications, 17th IEEE International Conference on Smart City and 5th IEEE International Conference on Data Science and Systems, HPCC/SmartCity/DSS 2019
国家/地区中国
Zhangjiajie
时期10/08/1912/08/19

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