Protecting a sensitive dataset using a time based password in big data

In this paper, a new password generating technique is proposed based on time, which can be used to protect a sensitive dataset in big data. Specifically, the proposed approach mitigates attacks and threats by using time as a part of the password, generated by using the shift-key. The aim is to increase the possible combinations for the password, thereby improving security when compared to traditional measures. First, a survey was carried out to determine the appropriate settings for the new password system. A mathematical model is built and the Password Quality Indicator (PQI) used to compare the outcomes generated by the model with those from the traditional password method. The difference percentage equation was employed to compare the new password technique is better than the traditional method. The results show that the former is better than the latter by 192 % when C=93 and the length of password is 4, whilst this improvement is up to 200% when the length is 15.