The invention belongs to the technical field of mobile malicious
software detection, and discloses a mobile malicious
software detection method and
system with
privacy protection, a storage medium andan application. In a feature
training phase, a semi-trusted part of a malicious
software detection
service provider MDSP operates software with known attributes in a simulator, a malicious
feature set MS and a normal
feature set NS are obtained by analyzing data during operation, and a corresponding effective
Bloom filter and a corresponding effective Sketch
data structure are established for detection and use; the
mobile device collects runtime data of the position attribute software, encrypts the runtime data and sends the encrypted runtime data to the MDSP; the MDSP loads the
Bloom filter,the Sketch and the received encrypted data to a trusted part of the MDSP and then executes a detection program; collecting software with newly confirmed attributes, adding the software into the
training set, and updating MS and NS. Mobile
malware detection is allowed to be outsourced to cloud in an efficient mobile
user privacy protection mode to achieve
malware detection serving as service, andthe method is suitable for
malware detection algorithms matched with various features.