LiDAR: A Light-Weight Deep Learning-Based Malware Classifier for Edge Devices

Table 1

Summary of deep learning-based malware classification approaches.

Name	Algorithm	Accuracy or F1-score	Features
MalDozer [11]	CNN	96%	API call
DL-Droid [12]	MLP	99%	Permission, etc.
Droid-Sec [13]	DBN	97%	Permission, API call, etc.
Kim et al. [14]	DNN	99%	Permission, component, string, opcode, API
DroidDetector [15]	DBN	97%	API, permission, etc.
DroidDeep [16]	DBN	99%	Permission, API call, action, component, etc.
Li et al. [17]	DNN	97%	Permission, API call, etc.
Ganesh et al. [18]	CNN	93%	Permission
Nix and Zhang [19]	CNN	99%	API call