Iterative Classifier Fusion System for the Detection of Android Malware

Malicious software (malware) pose serious challenges for security of big data. The number and complexity of malware targeting Android devices have been exponentially increasing with the ever growing popularity of Android devices. To address this problem, multi-classifier fusion systems have long been used to increase the accuracy of malware detection for personal computers. However, previously developed systems are quite large and they cannot be...