Today, smartphones are in widespread use by consumers, commercial companies and government authorities. Unfortunately, there are many examples of applications carrying out malicious activities, such as stealing information or subscribing to premium-rate services. In this thesis work, a novel application whitelisting process (AWP) is proposed. It defines processes for application security audits and whitelisting i.e. methods on how to classify, evaluate and test a given application to make sure that it with a level of assurance does not have malicious intentions. In a risk analysis of users in high security environments, the results showed that confidentiality and availability is the top most important security aspects to protect in this environment. The applications in the whitelisting process should therefore be tested for known malware and adware as well as permissions that can be used to send private information to remote servers. Additionally, testing should also be carried out for information leakage through intents and content resolvers. Because whitelisting is locking down the freedom and usability that comes with a smartphone, three different leveled whitelists are proposed to satisfy users and organizations with different security needs. A prototype was developed to prove the overall usability of the design. The result of scanning 200 applications from Google Play showed that 12% of all applications can be placed in the highest leveled whitelist. The results also suggest that 17.5 % of all applications on Google Play are malware or potentially unwanted applications. The results points to that using this novel whitelisting process, about 30% of all applications can be automated into whitelists and will not need manual analysis.