Malware Family

Malware family classification aims to group malicious software based on shared characteristics, enabling faster detection and response to new threats. Current research focuses on improving the accuracy and efficiency of classification using machine learning, particularly exploring semi-supervised learning, transformer-based architectures, and graph neural networks, often incorporating diverse feature sets like API calls, binary images, and antivirus scan data. These advancements are crucial for enhancing cybersecurity defenses by enabling quicker identification and analysis of novel malware variants and improving the effectiveness of existing detection systems. The development of large, well-labeled datasets is also a key area of ongoing work to facilitate more robust and generalizable models.

Papers

October 14, 2024

Deep Learning Based XIoT Malware Analysis: A Comprehensive Survey, Taxonomy, and Research Challenges
Rami Darwish, Mahmoud Abdelsalam, Sajad Khorsandroo
Deep Learning Comprehensive Survey Comprehensive Taxonomy Malware Detection IOT Technology Malware Family Research Challenge

September 20, 2024

MalMixer: Few-Shot Malware Classification with Retrieval-Augmented Semi-Supervised Learning
Eric Li, Yifan Zhang, Yu Huang, Kevin Leach
Retrieval Augmented Malware Classification Malware Family Malware Representation

June 9, 2024

Exploring the Efficacy of Large Language Models (GPT-4) in Binary Reverse Engineering
Saman Pordanesh, Benjamin Tan
GPT 4 Binary Code Reverse Engineering Malware Family Code Explanation

May 6, 2024

Online Clustering of Known and Emerging Malware Families
Olha Jurečková, Martin Jureček, Mark Stamp
Malware Detection Malware Family Online Clustering

December 25, 2023

Small Effect Sizes in Malware Detection? Make Harder Train/Test Splits!
Tirth Patel, Fred Lu, Edward Raff, Charles Nicholas, Cynthia Matuszek, James Holt
New Benchmark Generalization Error Malware Detection Malware Family Target Model Small Sample

October 27, 2023

Enhancing Enterprise Network Security: Comparing Machine-Level and Process-Level Analysis for Dynamic Malware Detection
Baskoro Adi Pratomo, Toby Jackson, Pete Burnap, Andrew Hood, Eirini Anthi
Malware Detection Detection Model Malware Family Malware Analysis Novel Malware Malicious Instruction Process Insight Network Security

September 30, 2023

Enhancing Efficiency and Privacy in Memory-Based Malware Classification through Feature Selection
Salim Sazzed, Sharif Ullah
Feature Selection Privacy Policy Malware Classification Enhancing Efficiency Malware Family Malware Classifier

September 4, 2023

MalwareDNA: Simultaneous Classification of Malware, Malware Families, and Novel Malware
Maksim E. Eren, Manish Bhattarai, Kim Rasmussen, Boian S. Alexandrov, Charles Nicholas
Machine Learning Feature Selection Malware Attack Malware Family Novel Malware Metamorphic Malware

August 28, 2023

XVir: A Transformer-Based Architecture for Identifying Viral Reads from Cancer Samples
Shorya Consul, John Robertson, Haris Vikalo
Transformer Based Architecture Malware Family DNA Related Bioinformatics Domain Viral Marketing

July 27, 2023

Decoding the Secrets of Machine Learning in Malware Classification: A Deep Dive into Datasets, Feature Extraction, and Model Performance
Savino Dambra, Yufei Han, Simone Aonzo, Platon Kotzias, Antonino Vitale, Juan Caballero, Davide Balzarotti, Leyla Bilge
Machine Learning Data Set Feature Extraction Model Performance Malware Detection Malware Classification Malware Family Based Malware Detection

July 4, 2023

Review of Deep Learning-based Malware Detection for Android and Windows System
Nazmul Islam, Seokjoo Shin
Narrative Review Malware Detection Mobile Application Malware Family Malware Analysis Window System

June 9, 2023

AVScan2Vec: Feature Learning on Antivirus Scan Data for Production-Scale Malware Corpora
Robert J. Joyce, Tirth Patel, Charles Nicholas, Edward Raff
Feature Learning Malware Family Malware Datasets Novel Malware

May 2, 2023

CNS-Net: Conservative Novelty Synthesizing Network for Malware Recognition in an Open-set Scenario
Jingcai Guo, Song Guo, Shiheng Ma, Yuxia Sun, Yuanyuan Xu
Malware Detection Malware Family Malware Datasets Open Set Scenario Novelty Generation

May 1, 2023

Classification and Online Clustering of Zero-Day Malware
Olha Jurečková, Martin Jureček, Mark Stamp, Fabio Di Troia, Róbert Lórencz
Classification Code Malware Family Online Clustering Zero Day Malicious Sample

April 24, 2023

Virus2Vec: Viral Sequence Classification Using Machine Learning
Sarwan Ali, Babatunde Bello, Prakash Chourasia, Ria Thazhe Punathil, Pin-Yu Chen, Imdad Ullah Khan, Murray Patterson
Machine Learning Malware Family Viral Host

April 13, 2023

PCD2Vec: A Poisson Correction Distance-Based Approach for Viral Host Classification
Sarwan Ali, Taslim Murad, Murray Patterson
Constructive Approach Spike Protein Malware Family Poisson Surface Reconstruction Viral Host

January 28, 2023

Harnessing the Power of Decision Trees to Detect IoT Malware
Marwan Omar
Data Detection Real Power Decision Tree Internet of Thing Malware Attack Malware Family

November 24, 2022

Network Security Modelling with Distributional Data
Subhabrata Majumdar, Ganesh Subramaniam
Distributional Assumption Malware Family Botnet Related Malware Deep Packet Inspection

November 18, 2022

Clustering based opcode graph generation for malware variant detection
Kar Wai Fok, Vrizlynn L. L. Thing
Malware Detection Malware Attack Malware Family Depth Based Variant Search Algorithm

November 3, 2022

Reliable Malware Analysis and Detection using Topology Data Analysis
Lionel Nganyewou Tidjon, Foutse Khomh
Data Detection Topological Data Analysis Malware Detection Malware Family Malware Analysis Malware Feature

Malware Family

Papers

Deep Learning Based XIoT Malware Analysis: A Comprehensive Survey, Taxonomy, and Research Challenges

MalMixer: Few-Shot Malware Classification with Retrieval-Augmented Semi-Supervised Learning

Exploring the Efficacy of Large Language Models (GPT-4) in Binary Reverse Engineering

Online Clustering of Known and Emerging Malware Families

Small Effect Sizes in Malware Detection? Make Harder Train/Test Splits!

Enhancing Enterprise Network Security: Comparing Machine-Level and Process-Level Analysis for Dynamic Malware Detection

Enhancing Efficiency and Privacy in Memory-Based Malware Classification through Feature Selection

MalwareDNA: Simultaneous Classification of Malware, Malware Families, and Novel Malware

XVir: A Transformer-Based Architecture for Identifying Viral Reads from Cancer Samples

Decoding the Secrets of Machine Learning in Malware Classification: A Deep Dive into Datasets, Feature Extraction, and Model Performance

Review of Deep Learning-based Malware Detection for Android and Windows System

AVScan2Vec: Feature Learning on Antivirus Scan Data for Production-Scale Malware Corpora

CNS-Net: Conservative Novelty Synthesizing Network for Malware Recognition in an Open-set Scenario

Classification and Online Clustering of Zero-Day Malware

Virus2Vec: Viral Sequence Classification Using Machine Learning

PCD2Vec: A Poisson Correction Distance-Based Approach for Viral Host Classification

Harnessing the Power of Decision Trees to Detect IoT Malware

Network Security Modelling with Distributional Data

Clustering based opcode graph generation for malware variant detection

Reliable Malware Analysis and Detection using Topology Data Analysis