INCORPORATING PRIVACY AND SECURITY FEATURES IN AN OPEN SOURCE SEARCH ENGINE A Project Report Presented to
2014
- 1,111Usage
- 4Mentions
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
- Usage1,111
- Downloads980
- Abstract Views131
- Mentions4
- References4
- Wikipedia4
Thesis / Dissertation Description
The aim of this project was to explore and implement various privacy and security features in an open-source search engine and enhance the security and privacy capabilities of Yioop. Yioop, an open-source PHP search engine based on GPLv3 license, is designed and developed by Dr. Chris Pollett. We have enabled a crawl, search and index mechanism for hidden services by execution of codes, which has facilitated access of the Tor network in Yioop. We have diversified the ability of the previously supported text CAPTCHA functionality in Yioop by implementing hash CAPTCHA and provided feasibility to toggle between text CAPTCHA and hash CAPTCHA. To enable the user to log in to his or her respective Yioop account without sharing the password over the network, we have incorporated zero knowledge authentications in which Yioop does not store the user’s real password, but it stores the numerical password, which is derived from the user’s original password.
Bibliographic Details
https://scholarworks.sjsu.edu/etd_projects/362; https://scholarworks.sjsu.edu/cgi/viewcontent.cgi?article=1362&context=etd_projects&unstamped=1; http://dx.doi.org/10.31979/etd.ye8d-rxuw; https://scholarworks.sjsu.edu/cgi/viewcontent.cgi?article=1362&context=etd_projects; https://dx.doi.org/10.31979/etd.ye8d-rxuw; https://scholarworks.sjsu.edu/etd_projects/362/
San Jose State University Library
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