Biometrics in Online Assessments: A Study Case in High School Students

Hernández, José Alberto; Ortiz, A.O.; Andaverde, Jorge; Burlak, Gennadiy

doi:10.1109/conielecomp.2008.36

Cited by 29 publications

(18 citation statements)

References 1 publication

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“…Regardless of the techniques employed, the identity and authentication of a student remains a major challenge to the summative e-assessment process [1,8]. Hence, we do not suggest the unsuitability of the mechanisms used; rather we propose that satisfying the identity and authentication goals alone is insufficient to ensure user security.…”

Section: Identity and Authentication Security Goalsmentioning

confidence: 99%

“…It can also refer to a specific, measureable occurrence that any business or system plans or intends to achieve or avoid. One method of generating the security goals of a system is by specifying that the actions on the assets listed in threat descriptions can be prevented [8].…”

Section: Definitionsmentioning

confidence: 99%

“…However, they concluded that web security is a well investigated area but it is insufficient to fulfil the security needs of eassessment. In addition to the well defined web security areas, we include that data security [8] and the network security [18] of summative eassessments are also well researched. However, we suggest that the user security phase of the eassessment security is a continuing research field.…”

Section: Introductionmentioning

confidence: 99%

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Towards security goals in summative e-assessment security

Apampa

Wills

Argles

2009

2009 International Conference for Internet Technology and Secured Transactions, (ICITST)

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The general security goals of a computer system are known to include confidentiality, integrity and availability (C-I-A) which prevent critical assets from potential threats. The C-I-A security goals are well researched areas; however they may be insufficient to address all the needs of the summative e-assessment. In this paper, we do not discard the fundamental C-I-A security goals; rather we define security goals which are specific to summative eassessment security.

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Section: Identity and Authentication Security Goalsmentioning

confidence: 99%

Section: Definitionsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Towards security goals in summative e-assessment security

Apampa

Wills

Argles

2009

2009 International Conference for Internet Technology and Secured Transactions, (ICITST)

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“…[5,8,13,14] Online assessment is most significant not only as a measure of student's knowledge and skills, but a consequence informative and useful feedback to achieve good learning outcomes [5]. Variety of feedback mechanism enriches the interaction among teachers and students which can improve the learning performance.…”

Section: Introductionmentioning

confidence: 99%

Collaboration for On Line Clinic Assessment Agent

Huang

Tseng²

2009

2009 Joint Conferences on Pervasive Computing (JCPC)

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An emerging tool of On Line Clinic Assessment Agent (OLCA) is proposed in this paper. OLCA allows the collaboration for four participants -assessment editor, investigator, examinee and domain expert. After assessments are authorized to an investigator by an assessment editor, the investigator can sells the assessments to examinees with OLCA tokens. The OLCA token allows the examinees to conduct the assessment on line and automatically generates the result with the clinic statistic norm. By passing the OLCA token to domain experts, the experts can comment the assessment result on line and pass the opinion to the examinee. OCLA keeps the examinee privacy among stages of clinic assessment because no central awareness of each participants. Finally, a practical on-line clinic assessment system is implementedto verify thefeasibility ofthis model.

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“…Whilst the idea has merit, his research neither clearly dissected how the approaches overcame the issue of cheating, nor the biometric performance being experienced in practice. Herná ndez et al [9] proposed a prototype using fingerprint recognition to deal with the problem of student identification at the beginning of the e-assessment, together with a synchronized and continuous surveillance employing a web camera until the end of the online examination. Despite the fact this study is well evaluated, it did not explain the continuous video monitoring during the exam time (e.g., how it could be used in practice -would an examiner need to watch the individual video feeds of all participants?).…”

Section: Related Workmentioning

confidence: 99%

A Robust e-Invigilation System Employing Multimodal Biometric Authentication

Ketab¹,

Clarke²,

Dowland³

2017

IJIET

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Abstract-The significant growth in users of e-learning technologies and their use in courses has given rise to a major concern over protecting them from misuse; a significant concern is that of the potential for cheating or illicit assistance during online examinations. This paper presents the development of robust, flexible, transparent and continuous authentication mechanism for e-assessments. To monitor the exam taker and ensure that only the legitimate student is taking the exam, the system offers a continuous user identification employing multimodal biometrics; a security layer using an eye tracker to record the student's eye movement; and, speech recognition to detect inappropriate communication. The focus of this paper in particular is the development and evaluation of 3D facial authentication. An experiment has been conducted to investigate the ability of the proposed platform to detect any cheating attempts. During the experiment, participants' biometric data, eye movement, and head movements have been collected using custom software. The 3D camera also captured the session using a built-in microphone and the system recognized speech (employing a speech recognition algorithm). 51 participants participated in this experiment. The FRR of all legitimate participants was 0 and 0.0063 in 2D and 3D facial recognition modes respectively. Furthermore, three participants were tasked with a series of eight scenarios that map to typical misuse. The results of the FAR and FRR of five of these threat scenarios in both 2D and 3D mode were 0 with two cases exhibiting an FAR of 0.11 and 0.076 in the 2D mode.

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Biometrics in Online Assessments: A Study Case in High School Students

Cited by 29 publications

References 1 publication

Towards security goals in summative e-assessment security

Towards security goals in summative e-assessment security

Collaboration for On Line Clinic Assessment Agent

A Robust e-Invigilation System Employing Multimodal Biometric Authentication

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