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IETE Journal of Research Volume 60, 2014 - Issue 3
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Original Articles

User Authentication Based on Keystroke Dynamics

Rajat Kumar DasDepartment of E & ECE Engineering, IIT Kharagpur, West Bengal, IndiaCorrespondence[email protected]
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Sudipta MukhopadhyayDepartment of E & ECE Engineering, IIT Kharagpur, West Bengal, IndiaCorrespondence[email protected]
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Puranjoy BhattacharyaIntel Technologies India Ltd, Bangalore, IndiaCorrespondence[email protected]
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Pages 229-239 | Published online: 24 Jul 2014

Citations (8)

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Read on this site (1)

Ishan Bhardwaj, Narendra D. Londhe & Sunil K. Kopparapu. (2017) A Novel Behavioural Biometric Technique for Robust User Authentication. IETE Technical Review 34:5, pages 478-490.
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Articles from other publishers (7)

Maciej Grzenda, Stanisław Kaźmierczak, Marcin Luckner, Grzegorz Borowik & Jacek Mańdziuk. (2023) Evaluation of machine learning methods for impostor detection in web applications. Expert Systems with Applications 231, pages 120736.
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Warwick R. Adams. 2020. Diagnosis and Management in Parkinson's Disease. Diagnosis and Management in Parkinson's Disease 331 344 .
Neha & Kakali Chatterjee. (2019) Continuous User Authentication System: A Risk Analysis Based Approach. Wireless Personal Communications 108:1, pages 281-295.
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Warwick R. Adams. (2017) High-accuracy detection of early Parkinson's Disease using multiple characteristics of finger movement while typing. PLOS ONE 12:11, pages e0188226.
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Hongbo Zhang, Chungang Yan, Peihai Zhao & Mimi Wang. (2016) Model construction and authentication algorithm of virtual keystroke dynamics for smart phone users. Model construction and authentication algorithm of virtual keystroke dynamics for smart phone users.
Jadav Chandra Das & Debashis De. (2015) User Authentication Based on Quantum-Dot Cellular Automata Using Reversible Logic for Secure Nanocommunication. Arabian Journal for Science and Engineering 41:3, pages 773-784.
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Neha & Kakali Chatterjee. 2016. Smart Trends in Information Technology and Computer Communications. Smart Trends in Information Technology and Computer Communications 881 888 .

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