Using Keystroke Dynamics and Context Features to Assess Authorship in Online Learning Environments

Josa, Aleix Dorca; Pérez, Eugènia Santamaría; Moreno, José Antonio Morán

doi:10.21125/inted.2017.0819

Cited by 2 publications

(5 citation statements)

References 0 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…x x [23] x [42] x [25] x x x [43] x x [44] x OLP [21] x [26] x x x x x [45] x x [16] x x x x VL [46] x The flexibility of authentication systems can be improved by adding diverse sets of authenticators for different scenarios [47]. Face and keystroke dynamic authenticators are supported by the majority of the surveyed works while other features (i.e., fingerprint, mouse movement, speech, etc.)…”

Section: A Authenticatorsmentioning

confidence: 99%

“…Table 2 provides the overview of authentication process in the surveyed paper and what authenticators are used for identity assurance and authorship assurance. Behaviour analysis [40] Face, Voice Writing/Plagiarism detection [41] Face, Keystroke Face, Keystroke [23] Face Face [42] Keystroke Keystroke [25] Face, Fingerprint, Keystroke [43] Face Eye-Gaze [44] Keystroke OLP [21] Keystroke Keystroke [26] Face, Mouse, Keystroke, Touch, Voice [45] Keystroke Keystroke [16] Face, Keystroke, Voice Behaviour analysis, Computer monitoring VL [46] Face Face tracking…”

Section: B Authentication Processmentioning

confidence: 99%

“…The engagement between users and online learning courses is also considered as contextual information to detect abnormal behaviour and build the student's profile [39,42,45]. For example, to build a more comprehensive template for keystroke dynamics, the length of words, repetition of the word and the number of words found in the student's writing are considered [21].…”

Section: Contextual Informationmentioning

confidence: 99%

“…It helps to identify which device that is coupled to the system can achieve more accurate authentication of the user, which can then enable suggestions as to which device should be used for example, for online exams. x [36] x x [37] x [38] x x x [39] x [40] [41] x x [23] x x [42] x [25] [43] x [44] x OLP [21] x [26] x x [45] x [16] x x VL [46] x…”

Section: Contextual Informationmentioning

confidence: 99%

“…As demonstrated in previous studies, some biometric features can change over time (for example, through ageing), and environmental conditions may also significantly influence the quality of the captured data (such as illumination, noise, and even pose). As a result, the biometric sample used to authenticate a user may no longer match the referential biometric features of the enrolled user [9,11,21,22]. Samples collected during the user enrolment phase of authentication may not be representative for all possible conditions that may be encountered during the recognition phases.…”

Section: Introductionmentioning

confidence: 99%

See 4 more Smart Citations

A Comprehensive Survey of Context-Aware Continuous Implicit Authentication in Online Learning Environments

et al. 2023

View full text Add to dashboard Cite

User authentication is crucial in the digital learning environment to preserve the integrity and reliability of the learning process. Implicit authentication using biometrics has been proposed to improve the user experience while resolving the issues that password dominant authentication faces. Implicit authentication does not require explicit user actions as it is a background process that implicitly acquires a user's identifying information through sensors embedded within the authenticating devices. To accommodate a variety of user contexts, context-aware implicit authentication has gained attention especially in the mobile device domain, but it has not been fully explored in digital learning environments. This study is motivated to determine how implicit authentication can observe students' behaviour without causing disruption to the learning activity. The study provides a structured systematic review of the existing literature to identify and discuss the structure of context-aware continuous implicit authentication systems and future directions. The study found that requirements in the future will be: 1) to consider diverse authenticators to cover all possible user interactions with online learning environments, including coverage of course participants not engaged with online exams; 2) to investigate template adaptation to overcome template ageing issues with biometrics; and 3) to explore evaluation approaches of context-aware implicit authentication systems.

show abstract

Section: A Authenticatorsmentioning

confidence: 99%

Section: B Authentication Processmentioning

confidence: 99%

Section: Contextual Informationmentioning

confidence: 99%

Section: Contextual Informationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

A Comprehensive Survey of Context-Aware Continuous Implicit Authentication in Online Learning Environments

et al. 2023

View full text Add to dashboard Cite

show abstract

Keystroke Dynamics in E-Learning

Sundararajan¹

2019

Biometric Authentication in Online Learning Environments

View full text Add to dashboard Cite

Enhanced authentication is the need of the hour in today's technology. Commonly used login and password are not enough as they may be guessed by imposters. Most of the websites adopt the traditional authentication as login and password. But they don't verify whether the same person is accessing their information continuously in the current session. This is of great concern in distance-based e-learning systems. The institutes offering the e-courses must verify whether it is the same student who enrolled, is accessing their materials, doing the assignments themselves, and completing the examination without any cheating. In this case, one of the techniques, behavioral biometrics-keystroke dynamics, plays a very important role. Along with other authentication methods, keystroke dynamics can be combined to provide a more secured system for the students in e-learning environments. In this chapter, the basics of keystroke dynamics and some of the applications that use them are discussed.

show abstract

Using Keystroke Dynamics and Context Features to Assess Authorship in Online Learning Environments

Cited by 2 publications

References 0 publications

A Comprehensive Survey of Context-Aware Continuous Implicit Authentication in Online Learning Environments

A Comprehensive Survey of Context-Aware Continuous Implicit Authentication in Online Learning Environments

Keystroke Dynamics in E-Learning

Contact Info

Product

Resources

About