Android malware detection method based on bytecode image

Deep learning-based classification model for botnet attack detection

(2020) Abdulghani Ali Ahmed et al.   Journal of Ambient Intelligence and Humanized Computing

A Multi-Level Deep Learning System for Malware Detection

(2019) Wei Zhong et al.   EXPERT SYSTEMS WITH APPLICATIONS

Unsupervised intelligent system based on one class support vector machine and Grey Wolf optimization for IoT botnet detection

(2019) Amaal Al Shorman et al.   Journal of Ambient Intelligence and Humanized Computing

Android Fragmentation in Malware Detection

(2019) Long Nguyen-Vu et al.   COMPUTERS & SECURITY

Multiple instance learning for malware classification

(2018) Jan Stiborek et al.   EXPERT SYSTEMS WITH APPLICATIONS

Effective android malware detection with a hybrid model based on deep autoencoder and convolutional neural network

(2018) Wei Wang et al.   Journal of Ambient Intelligence and Humanized Computing

Android malware detection through hybrid features fusion and ensemble classifiers: the AndroPyTool framework and the OmniDroid dataset

(2018) Alejandro Martín et al.   Information Fusion

Characterizing Android apps’ behavior for effective detection of malapps at large scale

(2017) Xing Wang et al.   Future Generation Computer Systems-The International Journal of eScience

DAPASA: Detecting Android Piggybacked Apps Through Sensitive Subgraph Analysis

(2017) Ming Fan et al.   IEEE Transactions on Information Forensics and Security

Defending unknown attacks on cyber-physical systems by semi-supervised approach and available unlabeled data

(2017) Shamsul Huda et al.   INFORMATION SCIENCES

Malware detection based on deep learning algorithm

(2017) Ding Yuxin et al.   NEURAL COMPUTING & APPLICATIONS

Hybrids of support vector machine wrapper and filter based framework for malware detection

(2016) Shamsul Huda et al.   Future Generation Computer Systems-The International Journal of eScience

ICCDetector: ICC-Based Malware Detection on Android

(2016) Ke Xu et al.   IEEE Transactions on Information Forensics and Security

AMAL: High-fidelity, behavior-based automated malware analysis and classification

(2015) Aziz Mohaisen et al.   COMPUTERS & SECURITY

Control Flow-Based Malware VariantDetection

(2013) Silvio Cesare et al.   IEEE Transactions on Dependable and Secure Computing