Identifying untrusted interactive behaviour in Enterprise Resource Planning systems based on a big data pattern recognition method using behavioural analytics-Reference-Cited by-同舟云学术

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Identifying untrusted interactive behaviour in Enterprise Resource Planning systems based on a big data pattern recognition method using behavioural analytics

Published:2020-12-03 Issue: Volume: Page:1-16
ISSN:0144-929X
Container-title:Behaviour & Information Technology
language:en
Short-container-title:Behaviour & Information Technology

Author:

Yi Qian¹,Xu Mengyao¹,Yi Shuping¹,Xiong Shiquan¹

Affiliation:

1. School of Mechanical Engineering, Chongqing University, Chongqing, People’s Republic of China

Funder

National Natural Science Foundation of China

Technology Innovation and Application Development Key Project of Chongqing

Publisher

Informa UK Limited

Subject

Human-Computer Interaction,General Social Sciences,Arts and Humanities (miscellaneous),Developmental and Educational Psychology

Link

https://www.tandfonline.com/doi/pdf/10.1080/0144929X.2020.1851767

Reference55 articles.

1. Benefits and challenges of cloud ERP systems – A systematic literature review

2. Performance Analysis of Statistical Pattern Recognition Methods in KEEL

3. Observation: A Complex Research Method

4. Video-based person recognition using fovea intensity comparison code

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1. Trustworthy interaction model: continuous authentication using time–frequency joint analysis of mouse biometrics;Behaviour & Information Technology;2024-03-08

2. A Big Data-Driven Financial Auditing Method Using Convolution Neural Network;IEEE Access;2023

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