Note: the default weights are trained by our proposed machine-learning-based method. You may want to change the weight of each factor to see the influence.
Weight:
SPRisk is a a comprehensive and understandable privacy risk assessment framework with multi-factors, including permissions, users' intent, sensitivity diversity, transmission destination, etc.
The framework can provide qualitative (i.e., risk level) and quantitative (i.e., risk score) results, both of them can help the users to make informed decisions in pre-install time.
We are currently in a public beta phase so bugreports or any other feedback is very welcome.
Please use the feedback form or drop us a mail directly to wch_cs@163.com to do so.
Learn more here or browse our analyzed apps.
Jing Chen. He worked as an associate professor in Wuhan University from 2010. His research interests in computer science are in the areas of network security, cloud security.
He is the Chief Investigator of several projects in network and system security, funded by the National Natural Science Foundation of China (NSFC).
Chiheng Wang. He received the MS degree in computer science in 2015 from Wuhan University, Wuhan, China.
He is a PH.D student of Wuhan University. His research interests include network security, privacy protection.