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A Comprehensive Study of Malware Detection in Android Operating Systems


Detection of malware using an artificial neural network based on adaptive resonant theory

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Malware Detection Based on Code Visualization and Two-Level Classification


Vision-Based Malware Detection and Classification Using Lightweight Deep Learning Paradigm

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Malware Detection in Android System Based on Change Perception


A Survey on Android Malware Detection Techniques Using Machine Learning Algorithms.


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Methodological approach to identifying software bugs in special software for systems of critical applications


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The Main Social Engineering Techniques Aimed at Hacking Information Systems


SpartanShield: A Layered Defense against Malvertising

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Proposed Precautions for Newborn Malware Family Inspired from the COVID19 Epidemic Outbreak


A Markov Random Field Framework for Modeling Malware Propagation in Complex Communications Networks

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Malware Detection Based on Code Visualization and Two-Level Classification


Malware Detection in Cloud Computing using an Image Visualization Technique

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Malicious Code Detection: Run Trace Output Analysis by LSTM


Review of the Malware Categorization in the Era of Changing Cybethreats Landscape: Common Approaches, Challenges and Future Needs

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Windows PE Malware Detection Using Ensemble Learning


Intrusion Detection through DCSYS Propagation Compared to Auto-encoders


Detection of Malware with Deep Learning Method



Evasion and Countermeasures Techniques to Detect Dynamic Binary Instrumentation Frameworks



A method for detecting false positives in procedure of malware analysis



Cyber Insurance Rate Making Based on Markov Model for Regular Networks Topology



API Call-Based Malware Classification Using Recurrent Neural Networks



Auditing static machine learning anti-Malware tools against metamorphic attacks



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SELEKSI FITUR MALWARE FAMILY MENGGUNAKAN METODE C5.0



Intelligent Behavior-Based Malware Detection System on Cloud Computing Environment



Feature Subset Selection for Malware Detection in Smart IoT Platforms



A Wrapper based Feature Selection using Grey Wolf Optimization for Botnet Attack Detection



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Study of the Error Detection and Correction Scheme for Distributed Network Covert Channels



Blockchain-based public ecosystem for auditing security of software applications



Prediction Dynamics of Malicious Objects in Internet of Things (IoT)



Data Hiding Using Code Obfuscation



Construção de um Conjunto de Dados para Análise Estática de Ransomwares



Investigation of Modern Ransomware Key Generation Methods: A Review



Evading Signature-Based Antivirus Software Using Custom Reverse Shell Exploit



A survey on machine learning-based malware detection in executable files



eUF: A framework for detecting over-the-air malicious updates in autonomous vehicles



When Machine Learning Meets Hardware Cybersecurity: Delving into Accurate Zero-Day Malware Detection



Blockage of forbidden activities using cyber ingress



The dismantling problem in complex networks and its applications



Pixel-based Feature for Android Malware Family Classification using Machine Learning Algorithms



A Systematic Analysis for Botnet Detection using Genetic Algorithm



Malware incident response (IR) informed by cyber threat intelligence (CTI)



MAGNETO: Fingerprinting USB Flash Drives via Unintentional Magnetic Emissions



A New Malware Classification Framework Based on Deep Learning Algorithms



Convolutional Neural Network for Malware Classification Based on API Call Sequence



Detecting Malware, Malicious URLs and Virus Using Machine Learning and Signature Matching



Tight Arms Race: Overview of Current Malware Threats and Trends in Their Detection



Classification of Malware with MIST and N-Gram Features Using Machine Learning



Malbert: A novel pre-training method for malware detection



Rootkit Detection on Embedded IoT Devices



AndMFC: Android Malware Family Classification Framework



Toward an early assessment for Ransomware attack vulnerabilities



Attention in Recurrent Neural Networks for Ransomware Detection



Malware Detection in Executable Files Using Machine Learning



N/A and Signature Analysis for Malwares Detection and Removal



Review of Machine Learning Methods for Windows Malware Detection



Auditing Deployed Software Licenses on Cloud using a Secure Loopback Protocol



Fog Mediated Security in the Internet of Things



Efficient and Interpretable Real-Time Malware Detection Using Random-Forest



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Optimized Multi - Layer Hierarchical Network Intrusion Detection System with Genetic Algorithms



Methodology for Malware Scripting Analysis in Controlled Environments Based on Open Source Tools



The mathematical model of cyber attacks on the critical information system



ОСОБЕННОСТИ ОБЕСПЕЧЕНИЯ ИНФОРМАЦИОННОЙ БЕЗОПАСНОСТИ В МОБИЛЬНЫХ УСТРОЙСТВАХ ПОД УПРАВЛЕНИЕМ ОПЕРАЦИОННОЙ СИСТЕМЫ ANDROID



Methods for detecting bot nets in computer systems



Detecting File Types Using Machine Learning Algorithms



Analysis of Information Security News Content and Abnormal Returns of Enterprises



Adversarial Examples Against Image-based Malware Classification Systems



Iterative Classifier Fusion System for the Detection of Android Malware



Static Based Classification of Malicious Software Using Machine Learning Methods



Detection of Ransomware in Emails Through Anomaly Based Detection



Computer Virus Propagation Petri-Object Simulation



Exploring the Factors Associated With Rejection From a Closed Cybercrime Community



New Method for Digital Economy User’s Protection



Comparison of Machine Learning Methods for Android Malicious Software Classification based on System Call



Malware Detection Using Power Consumption and Network Traffic Data



A Mathematical Model of HMST Model on Malware Static Analysis



IoT Malware Analysis



BL0K: A New Stage of Privacy-Preserving Scope for Location-Based Services



A proactive malicious software identification approach for digital forensic examiners


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Malicious Software 악성 소프트웨어


Malicious Software 악성 소프트웨어
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