A comprehensive survey on deep learning based malware detection techniques

HamDroid: permission-based harmful android anti-malware detection using neural networks

(2022) Saeed Seraj et al.   NEURAL COMPUTING & APPLICATIONS

An Automated Vision-Based Deep Learning Model for Efficient Detection of Android Malware Attacks

(2022) Iman Almomani et al.   IEEE Access

A new approach for APT malware detection based on deep graph network for endpoint systems

(2022) Cho Do Xuan et al.   APPLIED INTELLIGENCE

Deep Learning based Cross Architecture Internet of Things malware Detection and Classification

(2022) Rajasekhar Chaganti et al.   COMPUTERS & SECURITY

Windows and IoT malware visualization and classification with deep CNN and Xception CNN using Markov images

(2022) Osho Sharma et al.   JOURNAL OF INTELLIGENT INFORMATION SYSTEMS

A novel approach for detecting advanced persistent threats

(2022) Jaafer Al-Saraireh et al.   Egyptian Informatics Journal

MFMCNS: a multi-feature and multi-classifier network-based system for ransomworm detection

(2022) Ahmad O. Almashhadani et al.   COMPUTERS & SECURITY

DroidMalwareDetector: A novel Android malware detection framework based on convolutional neural network

(2022) Abdullah Talha Kabakus   EXPERT SYSTEMS WITH APPLICATIONS

An Advanced Computing Approach for IoT-Botnet Detection in Industrial Internet of Things

(2022) Tu N. Nguyen et al.   IEEE Transactions on Industrial Informatics

An Android Malware Detection and Classification Approach Based on Contrastive Lerning

(2022) Shaojie Yang et al.   COMPUTERS & SECURITY

Android malware detection based on multi-head squeeze-and-excitation residual network

(2022) Hui-juan Zhu et al.   EXPERT SYSTEMS WITH APPLICATIONS

Crypto-ransomware detection using machine learning models in file-sharing network scenarios with encrypted traffic

(2022) Eduardo Berrueta et al.   EXPERT SYSTEMS WITH APPLICATIONS

BSFR-SH: Blockchain-Enabled Security Framework Against Ransomware Attacks for Smart Healthcare

(2022) Mohammad Wazid et al.   IEEE TRANSACTIONS ON CONSUMER ELECTRONICS

An ontology-driven framework for knowledge representation of digital extortion attacks

(2022) Masoudeh Keshavarzi et al.   COMPUTERS IN HUMAN BEHAVIOR

ProDroid – An Android malware detection framework based on profile hidden Markov model

(2021) Satheesh Kumar Sasidharan et al.   Pervasive and Mobile Computing

Q-learning and LSTM based deep active learning strategy for malware defense in industrial IoT applications

(2021) Sunder Ali Khowaja et al.   MULTIMEDIA TOOLS AND APPLICATIONS

A survey of malware detection in Android apps: Recommendations and perspectives for future research

(2021) Asma Razgallah et al.   Computer Science Review

A novel approach for APT attack detection based on combined deep learning model

(2021) Cho Do Xuan et al.   NEURAL COMPUTING & APPLICATIONS

Comparative analysis of Android and iOS from security viewpoint

(2021) Shivi Garg et al.   Computer Science Review

GDroid: Android malware detection and classification with graph convolutional network

(2021) Han Gao et al.   COMPUTERS & SECURITY

Protecting the Internet of Vehicles Against Advanced Persistent Threats: A Bayesian Stackelberg Game

(2021) Talal Halabi et al.   IEEE TRANSACTIONS ON RELIABILITY

A Multi-Dimensional Deep Learning Framework for IoT Malware Classification and Family Attribution

(2021) Mirabelle Dib et al.   IEEE Transactions on Network and Service Management

Dual Generative Adversarial Networks Based Unknown Encryption Ransomware Attack Detection

(2021) Xueqin Zhang et al.   IEEE Access

Efficient Deep Learning Network With Multi-Streams for Android Malware Family Classification

(2021) Hyun-Il Kim et al.   IEEE Access

CNN-Based Malware Variants Detection Method for Internet of Things

(2021) Qi Li et al.   IEEE Internet of Things Journal

PROUD-MAL: static analysis-based progressive framework for deep unsupervised malware classification of windows portable executable

(2021) Syed Khurram Jah Rizvi et al.   Complex & Intelligent Systems

Android malware obfuscation variants detection method based on multi-granularity opcode features

(2021) Junwei Tang et al.   Future Generation Computer Systems-The International Journal of eScience

IoT Malware Classification Based on Lightweight Convolutional Neural Networks

(2021) Baoguo Yuan et al.   IEEE Internet of Things Journal

A Time-Efficient Approach Toward DDoS Attack Detection in IoT Network Using SDN

(2021) Jalal Bhayo et al.   IEEE Internet of Things Journal

A Content-Based Ransomware Detection and Backup Solid-State Drive for Ransomware Defense

(2021) Donghyun Min et al.   IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS

IoT-Proctor: A Secure and Lightweight Device Patching Framework for Mitigating Malware Spread in IoT Networks

(2021) Muhammad Naveed Aman et al.   IEEE Systems Journal

The rise of machine learning for detection and classification of malware: Research developments, trends and challenges

(2020) Daniel Gibert et al.   JOURNAL OF NETWORK AND COMPUTER APPLICATIONS

A Method for Windows Malware Detection Based on Deep Learning

(2020) Xiang Huang et al.   Journal of Signal Processing Systems for Signal Image and Video Technology

On Existence of Common Malicious System Call Codes in Android Malware Families

(2020) Roopak Surendran et al.   IEEE TRANSACTIONS ON RELIABILITY

Deep Learning Algorithms for Cybersecurity Applications: A Technological and Status Review

(2020) Priyanka Dixit et al.   Computer Science Review

Defense Against Advanced Persistent Threat Through Data Backup and Recovery

(2020) Lu-Xing Yang et al.   IEEE Transactions on Network Science and Engineering

Fed-IIoT: A Robust Federated Malware Detection Architecture in Industrial IoT

(2020) Rahim Taheri et al.   IEEE Transactions on Industrial Informatics

RATScope: Recording and Reconstructing Missing RAT Semantic Behaviors for Forensic Analysis on Windows

(2020) Runqing Yang et al.   IEEE Transactions on Dependable and Secure Computing

A Multi-Level Deep Learning System for Malware Detection

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

MalDAE: Detecting and explaining malware based on correlation and fusion of static and dynamic characteristics

(2019) Weijie Han et al.   COMPUTERS & SECURITY

On the effectiveness of system API-related information for Android ransomware detection

(2019) Michele Scalas et al.   COMPUTERS & SECURITY

An efficient route planning model for mobile agents on the internet of things using Markov decision process

(2019) Shamim Yousefi et al.   Ad Hoc Networks

Software-defined networking-based crypto ransomware detection using HTTP traffic characteristics

(2018) Krzysztof Cabaj et al.   COMPUTERS & ELECTRICAL ENGINEERING

Early-stage malware prediction using recurrent neural networks

(2018) Matilda Rhode et al.   COMPUTERS & SECURITY

R-Locker: Thwarting ransomware action through a honeyfile-based approach

(2018) J.A. Gómez-Hernández et al.   COMPUTERS & SECURITY

Deep learning at the shallow end: Malware classification for non-domain experts

(2018) Quan Le et al.   Digital Investigation

A hybrid-multi filter-wrapper framework to identify run-time behaviour for fast malware detection

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

Detection of advanced persistent threat using machine-learning correlation analysis

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

Protecting against Ransomware: A New Line of Research or Restating Classic Ideas?

(2018) Amin Kharraz et al.   IEEE SECURITY & PRIVACY

LEILA: formaL tool for idEntifying mobIle maLicious behAviour

(2018) Gerardo Canfora et al.   IEEE TRANSACTIONS ON SOFTWARE ENGINEERING

Evaluating model checking for cyber threats code obfuscation identification

(2018) Fabio Martinelli et al.   JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING

Trusted system-calls analysis methodology aimed at detection of compromised virtual machines using sequential mining

(2018) Nir Nissim et al.   KNOWLEDGE-BASED SYSTEMS

Ransomware detection method based on context-aware entropy analysis

(2018) Sangmoon Jung et al.   SOFT COMPUTING

Malware Threats and Detection for Industrial Mobile-IoT Networks

(2018) Shaila Sharmeen et al.   IEEE Access

IoT Security Techniques Based on Machine Learning: How Do IoT Devices Use AI to Enhance Security?

(2018) Liang Xiao et al.   IEEE SIGNAL PROCESSING MAGAZINE

Ransomware early detection by the analysis of file sharing traffic

(2018) Daniel Morato et al.   JOURNAL OF NETWORK AND COMPUTER APPLICATIONS

Current research on Internet of Things (IoT) security: A survey

(2018) Mardiana binti Mohamad Noor et al.   Computer Networks

DRTHIS: Deep ransomware threat hunting and intelligence system at the fog layer

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

MalInsight: A systematic profiling based malware detection framework

(2018) Weijie Han et al.   JOURNAL OF NETWORK AND COMPUTER APPLICATIONS

A Multimodal Deep Learning Method for Android Malware Detection Using Various Features

(2018) TaeGuen Kim et al.   IEEE Transactions on Information Forensics and Security

Android malware detection based on system call sequences and LSTM

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

A Deep Learning Approach for Intrusion Detection Using Recurrent Neural Networks

(2017) Chuanlong Yin et al.   IEEE Access

Detecting crypto-ransomware in IoT networks based on energy consumption footprint

(2017) Amin Azmoodeh et al.   Journal of Ambient Intelligence and Humanized Computing

Know Abnormal, Find Evil: Frequent Pattern Mining for Ransomware Threat Hunting and Intelligence

(2017) Sajad Homayoun et al.   IEEE Transactions on Emerging Topics in Computing

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

Using Software-Defined Networking for Ransomware Mitigation: The Case of CryptoWall

(2016) Krzysztof Cabaj et al.   IEEE NETWORK

Droiddetector: android malware characterization and detection using deep learning

(2016) Zhenlong Yuan et al.   TSINGHUA SCIENCE AND TECHNOLOGY

A Two-layer Dimension Reduction and Two-tier Classification Model for Anomaly-Based Intrusion Detection in IoT Backbone Networks

(2016) Hamed Haddad Pajouh et al.   IEEE Transactions on Emerging Topics in Computing

Profiling and classifying the behavior of malicious codes

(2015) Mamoun Alazab   JOURNAL OF SYSTEMS AND SOFTWARE

Deep learning

(2015) Yann LeCun et al.   NATURE

Droid-Sec

(2015) Zhenlong Yuan et al.   ACM SIGCOMM Computer Communication Review

FlowDroid

(2014) Steven Arzt et al.   ACM SIGPLAN NOTICES

TaintDroid

(2014) William Enck et al.   ACM TRANSACTIONS ON COMPUTER SYSTEMS

Novel active learning methods for enhanced PC malware detection in windows OS

(2014) Nir Nissim et al.   EXPERT SYSTEMS WITH APPLICATIONS

Malware analysis using visualized images and entropy graphs

(2014) Kyoung Soo Han et al.   International Journal of Information Security

Mobile-Sandbox: combining static and dynamic analysis with machine-learning techniques

(2014) Michael Spreitzenbarth et al.   International Journal of Information Security

Linear SVM-Based Android Malware Detection for Reliable IoT Services

(2014) Hyo-Sik Ham et al.   Journal of Applied Mathematics

Catch Me If You Can: Evaluating Android Anti-Malware Against Transformation Attacks

(2013) Vaibhav Rastogi et al.   IEEE Transactions on Information Forensics and Security

“Andromaly”: a behavioral malware detection framework for android devices

(2011) Asaf Shabtai et al.   JOURNAL OF INTELLIGENT INFORMATION SYSTEMS

Intrusion detection for mobile devices using the knowledge-based, temporal abstraction method

(2010) Asaf Shabtai et al.   JOURNAL OF SYSTEMS AND SOFTWARE

A new similarity measure for histogram comparison and its application in time series analysis

(2008) V.V. Strelkov   PATTERN RECOGNITION LETTERS