JOURNAL ARTICLE

Fuzzy rule based intelligent system for user authentication based on user behaviour

Arpita RoyShaik RaziaNikhat ParveenA. Srinivasa RaoSoumya Ranjan NayakRamesh Chandra Poonia

Year: 2020 Journal:   Journal of Discrete Mathematical Sciences and Cryptography Vol: 23 (2)Pages: 409-417   Publisher: Taylor & Francis

Abstract

Security of the data is one of the major concerns now a days. To secure data text–based authentication vulnerable to attacks like shoulder surfing, hidden cameras and hackers. To avoid these attacks, biometric schemes are useful by means of face recognition, voice recognition, thumb impression detection, fingerprint detection etc which is more costly as it requires some external equipments. In this paper, we proposed a security system based on fuzzy rule based intelligent system which can be used for authentication process based on the user's behavior. The behavioral biometrics such as typing pattern, time and speed of a particular person can be recorded through keyboard even without the knowledge of the user, and need not to fill any form or to install any additional hardware, thus it is cost effective and robust in security aspect.

Keywords:
Computer science Fuzzy logic Artificial intelligence Data mining Fuzzy control system Machine learning

Metrics

17
Cited By
4.25
FWCI (Field Weighted Citation Impact)
20
Refs
0.95
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

User Authentication and Security Systems
Physical Sciences →  Computer Science →  Information Systems
Biometric Identification and Security
Physical Sciences →  Computer Science →  Signal Processing
Advanced Steganography and Watermarking Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
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