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

Jun Luo, Jin Deng, Chu Lu, Hong Liu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

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.

Original languageEnglish
Title of host publicationProceedings - 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
EditorsZheng Xiao, Laurence T. Yang, Pavan Balaji, Tao Li, Keqin Li, Albert Zomaya
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages2688-2693
Number of pages6
ISBN (Electronic)9781728120584
DOIs
StatePublished - Aug 2019
Event21st 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, China
Duration: 10 Aug 201912 Aug 2019

Publication series

NameProceedings - 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

Conference

Conference21st 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
Country/TerritoryChina
CityZhangjiajie
Period10/08/1912/08/19

Keywords

  • password security
  • recurrent neural network
  • user group attribute

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