Abstract. Mobile device identification techniques can be applied to security authentication, access control and other fields. It is used to uniquely indentify a mobile device through explicit identifiers, e.g., UUID, Android ID, or according to the difference of mobile device acceleration sensor. However, these methods collect features data requiring specified conditions or relying on sensitive permissions. To settle these issues, we propose a zero-permission mobile device identification algorithm based on similarity of browser fingerprints. The algorithm firstly obtains 11 features that are acquired without requesting any permission, e.g., User-agent, screen resolution. These 11 features are combined to form a browser fingerprint of mobile device. Then, defining the different similarity calculation methods of features, and matching fingerprints to identify device according to similarity. Finally, Experiments verify the feasibility and accuracy of the algorithm, the results show that the algorithm can effectively identify device.