Malware Detection Using Deep Learning and Correlation-Based Feature Selection

FAM: Featuring Android Malware for Deep Learning-based Familial Analysis

(2022) Younghoon Ban et al.   IEEE Access

Automatic Malignant and Benign Skin Cancer Classification Using a Hybrid Deep Learning Approach

(2022) Atheer Bassel et al.   Diagnostics

Android Malware Classification Using Optimized Ensemble Learning Based on Genetic Algorithms

(2022) Altyeb Taha et al.   Sustainability

Towards a systematic description of the field using bibliometric analysis: malware evolution

(2021) Sharfah Ratibah Tuan Mat et al.   SCIENTOMETRICS

The Deep Learning Solutions on Lossless Compression Methods for Alleviating Data Load on IoT Nodes in Smart Cities

(2021) Ammar Nasif et al.   SENSORS

A Bayesian probability model for Android malware detection

(2021) Sharfah Ratibah Tuan Mat et al.   ICT Express

Detecting Cryptomining Malware: a Deep Learning Approach for Static and Dynamic Analysis

(2020) Hamid Darabian et al.   Journal of Grid Computing

Platform-Independent Malware Analysis Applicable to Windows and Linux Environments

(2020) Chanwoong Hwang et al.   Electronics

Malware-Detection Method with a Convolutional Recurrent Neural Network Using Opcode Sequences

(2020) Seungho Jeon et al.   INFORMATION SCIENCES

A Survey of Android Malware Detection with Deep Neural Models

(2020) Junyang Qiu et al.   ACM COMPUTING SURVEYS

Permission-based Android Malware Detection System Using Feature Selection with Genetic Algorithm

(2019) Oktay Yildiz et al.   INTERNATIONAL JOURNAL OF SOFTWARE ENGINEERING AND KNOWLEDGE ENGINEERING

Internet Data Analysis Methodology for Cyberterrorism Vocabulary Detection, Combining Techniques of Big Data Analytics, NLP and Semantic Web

(2019) Iván Castillo-Zúñiga et al.   International Journal on Semantic Web and Information Systems

DroidFusion: A Novel Multilevel Classifier Fusion Approach for Android Malware Detection

(2018) Suleiman Y. Yerima et al.   IEEE Transactions on Cybernetics

A machine learning based approach to detect malicious android apps using discriminant system calls

(2018) Vinod P. et al.   Future Generation Computer Systems-The International Journal of eScience

Android malware detection based on system call sequences and LSTM

(2017) Xi Xiao et al.   MULTIMEDIA TOOLS AND APPLICATIONS