… -fuzzy inference system with fuzzy c-means clustering (FCM-ANFIS) for Android malware
classification. … c-means clustering using significant application permissions. Turk J Electr Eng …

… Ensuring privacy and security is of great importance to Android users. … c-means
clustering for Android malware classification. The researchers, who focused on permission-based …

… In this study, a fuzzy logic-based dynamic ensemble (FL-BDE) model was proposed to …
Android malware classification based on ANFIS with fuzzy c-means clustering using significant …

… C-means clustering (FCM) algorithm with the light gradient boosting machine (… -fuzzy
inference system with fuzzy c-means clustering (FCM-ANFIS) for Android malware classification. …

… In our study, permissions and API calls, which are very important for android, were used …
500 malware from 10 different malware categories from dataset (1), using 5000 malware …

… the path for future research in android malware classification. … of clusters using FCM,
which is used to develop an ANFIS … fuzzy clusters, this research implements the Fuzzy C-means …

… in Android malware applications (apps) represents a significant danger to … fuzzy inference
method with fuzzy c-means clustering (FCM-ANFIS) for the classification of Android malware …

… adaptive neuro-fuzzy inference system with fuzzy c-means clustering and depends on the …
Android malware classification based on ANFIS with fuzzy c-means clustering using significant …

… , and perceived ease of use do not have a significant effect. The … The weighted Fuzzy C-Means
(WFCM) clustering method is … The application is designed using Android Studio software. …

… method of granularization of the ANFIS input space and by … , FFNN -fuzzy neural network
classifiers using fuzzy c-means [27] … test is responsible for malware classification. Therefore, the …