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Identity Authentication with Association Behavior Sequence in Machine-to-Machine Mobile Terminals

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Abstract

With the rapid development of machine-to-machine (M2M) mobile smart terminals, M2M services can be used in a wide range of industries, including such as tele-medicine, remote meter reading and public security. Since different industries and enterprise users have different requirements for M2M specific applications, the security identity authentication of M2M mobile terminals is particularly worthy of attention. Existing methods can effectively solve the unsustainable problem of one-time verification, however they cannot address the dynamic relevance characteristics of user behavior sufficiently. Thus, the accuracy of user identity authentication needs to be further improved. In this paper, we propose a terminal identity authentication technology based on user association behavior analysis. In order to identify the abnormal login during each behavior process of authenticated user, we take largest coincident part of the user behavior sequence and short coincide into consideration. In addition, we propose Behavior Common Subsequence Sequence Similarity Algorithm based on the traditional sequence pattern of Behavior Common Subsequence(BCS). The experimental results demonstrate that the proposed method can effectively improve the accuracy of user’s behavioral sequence, and prove the uniqueness of different sequences on the other hand.

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Acknowledgments

This work supported by the 2019 Science and Technology Project of SGCC “Research on End to- End Security Threat Analysis and Precision Protection Technology of Ubiquitous Power Internet of Things”. This work is partially supported in part by National Natural Science Foundation of China under Grant Nos. 61872174, 61832008, 61902175, 61872173, 61802169, 61772446; JiangSu Natural Science Foundation under Grant No. BK20190293, BK20180325. This work is supported by NSFC (61572262, 61772286), China Postdoctoral Science Foundation (2017M610252), China Postdoctoral Science Special Foundation (2017T100297), Open Research Fund of Jiangsu Engineering Research Center of Communication and Network Technology, NJUPT.

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Authors and Affiliations

  1. State Key Laboratory for Novel Software Technology, Nanjing University, Nanjing, 210023, China

    Congcong Shi & Sanglu Lu

  2. State Grid Key Laboratory of Information & Network Security, Global Energy Interconnection Research Institute Co. Ltd, Beijing, 102211, China

    Congcong Shi

  3. Nanjing University of Posts and Telecommunications, Nanjing, 210003, China

    Miao Du & Weidong Lu

  4. The College of Computer and Information, Hohai University, Nanjing, 210003, China

    Xiaoming He

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  1. Congcong Shi
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Correspondence to Congcong Shi.

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Shi, C., Du, M., Lu, W. et al. Identity Authentication with Association Behavior Sequence in Machine-to-Machine Mobile Terminals. Mobile Netw Appl 27, 96–108 (2022). https://doi.org/10.1007/s11036-020-01706-0

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