A state-of-the-art survey of malware detection approaches using data mining techniques

Formal verification approaches and standards in the cloud computing: A comprehensive and systematic review

(2018) Alireza Souri et al.   COMPUTER STANDARDS & INTERFACES

Machine learning-assisted signature and heuristic-based detection of malwares in Android devices

(2018) Zahoor-Ur Rehman et al.   COMPUTERS & ELECTRICAL ENGINEERING

Leveraging Compression-based Graph Mining for Behavior-based Malware Detection

(2017) Tobias Wuechner et al.   IEEE Transactions on Dependable and Secure Computing

Monet: A User-Oriented Behavior-Based Malware Variants Detection System for Android

(2017) Mingshen Sun et al.   IEEE Transactions on Information Forensics and Security

DeepAM: a heterogeneous deep learning framework for intelligent malware detection

(2017) Yanfang Ye et al.   KNOWLEDGE AND INFORMATION SYSTEMS

Minimal contrast frequent pattern mining for malware detection

(2016) Aya Hellal et al.   COMPUTERS & SECURITY

Malicious sequential pattern mining for automatic malware detection

(2016) Yujie Fan et al.   EXPERT SYSTEMS WITH APPLICATIONS

Effective detection of android malware based on the usage of data flow APIs and machine learning

(2016) Songyang Wu et al.   INFORMATION AND SOFTWARE TECHNOLOGY

Entropy analysis to classify unknown packing algorithms for malware detection

(2016) Munkhbayar Bat-Erdene et al.   International Journal of Information Security

An improved Android malware detection scheme based on an evolving hybrid neuro-fuzzy classifier (EHNFC) and permission-based features

(2016) Altyeb Altaher   NEURAL COMPUTING & APPLICATIONS

MOCDroid: multi-objective evolutionary classifier for Android malware detection

(2016) Alejandro Martín et al.   SOFT COMPUTING

CloudEyes: Cloud-based malware detection with reversible sketch for resource-constrained internet of things (IoT) devices

(2016) Hao Sun et al.   SOFTWARE-PRACTICE & EXPERIENCE

Droiddetector: android malware characterization and detection using deep learning

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

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

(2015) Aziz Mohaisen et al.   COMPUTERS & SECURITY

Malware detection using bilayer behavior abstraction and improved one-class support vector machines

(2015) Qiguang Miao et al.   International Journal of Information Security

Malware behavioural detection and vaccine development by using a support vector model classifier

(2015) Ping Wang et al.   JOURNAL OF COMPUTER AND SYSTEM SCIENCES

Android based malware detection using a multifeature collaborative decision fusion approach

(2015) Shina Sheen et al.   NEUROCOMPUTING

Service-oriented mobile malware detection system based on mining strategies

(2015) Baojiang Cui et al.   Pervasive and Mobile Computing

Smartphone malware detection model based on artificial immune system

(2015) Wu Bin et al.   China Communications

A fast malware detection algorithm based on objective-oriented association mining

(2013) Yuxin Ding et al.   COMPUTERS & SECURITY

Opcode sequences as representation of executables for data-mining-based unknown malware detection

(2011) Igor Santos et al.   INFORMATION SCIENCES

Signature Tree Generation for Polymorphic Worms

(2010) Yong Tang et al.   IEEE TRANSACTIONS ON COMPUTERS