Password Policy Effects on Entropy and Recall: Research in Progress
2012
- 1,047Usage
Metric Options: CountsSelecting the 1-year or 3-year option will change the metrics count to percentiles, illustrating how an article or review compares to other articles or reviews within the selected time period in the same journal. Selecting the 1-year option compares the metrics against other articles/reviews that were also published in the same calendar year. Selecting the 3-year option compares the metrics against other articles/reviews that were also published in the same calendar year plus the two years prior.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Example: if you select the 1-year option for an article published in 2019 and a metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019. If you select the 3-year option for the same article published in 2019 and the metric category shows 90%, that means that the article or review is performing better than 90% of the other articles/reviews published in that journal in 2019, 2018 and 2017.
Citation Benchmarking is provided by Scopus and SciVal and is different from the metrics context provided by PlumX Metrics.
Metrics Details
- Usage1,047
- Abstract Views792
- Downloads255
Article Description
Passwords are commonly used for authentication. System architects generally put in place password policies that define the required length of a password, the complexity requirements of the password, and the expiration (if ever) of the password. Password policies are designed with the intent of helping users choose secure passwords, and in the case of password expiration, limit the potential damage of a compromised password. However, password policies can have unintended consequences that could potentially undermine their security aims. Based on the theory of cognitive load, it is hypothesized that password policy elements increase extraneous load, which can result in high entropy passwords, but to the detriment of recall. It is further hypothesized that certain password policy elements can still help increase entropy, while minimizing the negative impact on recall. An experiment to test the hypotheses and determine both a secure and user friendly password policy is put forward.
Bibliographic Details
Provide Feedback
Have ideas for a new metric? Would you like to see something else here?Let us know