| Title | Demo: DroidNet - An Android Permission Control Recommendation System Based on Crowdsourcing |
| Publication Type | Conference Paper |
| Year of Publication | 2019 |
| Authors | Rustgi, Pulkit, Fung, Carol |
| Conference Name | 2019 IFIP/IEEE Symposium on Integrated Network and Service Management (IM) |
| Keywords | android, Android (operating system), Android permission control recommendation system, app, application, apps, control systems, crowd-sourced Android recommendation tool, crowdsourcing, data mining, data privacy, Databases, DroidNet, expert users, human factors, Internet, mobile application security, mobile computing, Monitoring, Permission, privacy, pubcrawl, recommendation, recommender systems, Resiliency, Scalability, security of data, smart phones, smartphone, technical expertise, Tools, Web Application Security |
| Abstract | Mobile and web application security, particularly the areas of data privacy, has raised much concerns from the public in recent years. Most applications, or apps for short, are installed without disclosing full information to users and clearly stating what the application has access to, which often raises concern when users become aware of unnecessary information being collected. Unfortunately, most users have little to no technical expertise in regards to what permissions should be turned on and can only rely on their intuition and past experiences to make relatively uninformed decisions. To solve this problem, we developed DroidNet, which is a crowd-sourced Android recommendation tool and framework. DroidNet alleviates privacy concerns and presents users with high confidence permission control recommendations based on the decision from expert users who are using the same apps. This paper explains the general framework, principles, and model behind DroidNet while also providing an experimental setup design which shows the effectiveness and necessity for such a tool. |
| Citation Key | rustgi_demo_2019 |
Demo: DroidNet - An Android Permission Control Recommendation System Based on Crowdsourcing