Using IP Addresses as Assisting Tools to Identify Collusions
Qinghai Gao

Distance Learning has been steadily gaining popularity. More and more universities and colleges are offering online course to increase enrollments. However, one question remains for those who teach online courses: who is doing the real course work? In this paper we will survey the commonly used methods to prevent e-Cheating, look at a few e-Proctors, and illustrate how biometrics is being used for that purpose. In particular we propose a new and alternative method to monitor student activities: using students’ IP addresses and timestamps to assist detect-ing possible cheating behavior. Our results show that IP addresses are applicable to categorize a student as sus-pect of collusion/cheating during exam. Thus it reduces the number of students an instructor has to pay special attention to for the purpose of preventing dishonesty.

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