Malware Classification

Malware classification aims to automatically categorize malicious software, enabling faster and more efficient detection and response to cyber threats. Current research focuses on improving classification accuracy and efficiency using various deep learning architectures, including convolutional neural networks (CNNs), recurrent neural networks (RNNs), vision transformers, and graph neural networks (GNNs), often incorporating techniques like transfer learning, multi-task learning, and semi-supervised learning to handle limited labeled data. These advancements are crucial for enhancing cybersecurity defenses, enabling quicker identification of new malware variants, and improving the understanding of malware behavior through explainable AI (XAI) methods. The field also actively addresses challenges like adversarial attacks, data bias, and the need for robust and reproducible research methodologies.

Papers

September 28, 2024

Accelerating Malware Classification: A Vision Transformer Solution
Shrey Bavishi, Shrey Modi
Malware Detection Malware Classification Novel Architecture Vision Transformer Model Threat Landscape Malware Classifier

September 25, 2024

Examining the Rat in the Tunnel: Interpretable Multi-Label Classification of Tor-based Malware
Ishan Karunanayake, Mashael AlSabah, Nadeem Ahmed, Sanjay Jha
Malware Attack Malware Classification Interpretable Classifier Malicious Traffic Rat Image ToR Network

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

September 11, 2024

Revisiting Static Feature-Based Android Malware Detection
Md Tanvirul Alam, Dipkamal Bhusal, Nidhi Rastogi
Machine Learning Malware Classification Android Malware Malware Analysis

September 9, 2024

Explainable Malware Analysis: Concepts, Approaches and Challenges
Harikha Manthena, Shaghayegh Shajarian, Jeffrey Kimmell, Mahmoud Abdelsalam, Sajad Khorsandroo, Maanak Gupta
Technical Challenge Constructive Approach Malware Detection Concept Identification Malware Classification Malware Analysis Based Malware Detection

June 4, 2024

kNN Classification of Malware Data Dependency Graph Features
John Musgrave, Anca Ralescu
Classification Code Explanatory Inference Malware Classification Malware Datasets Kaggle Competition Malware Feature

May 9, 2024

Deep Multi-Task Learning for Malware Image Classification
Ahmed Bensaoud, Jugal Kalita
Multi Task Learning Multi Task Malware Detection Multi Task Learning Framework Malware Classification Malware Feature

May 4, 2024

CNN-LSTM and Transfer Learning Models for Malware Classification based on Opcodes and API Calls
Ahmed Bensaoud, Jugal Kalita
Convolutional Neural Network Transfer Learning Long Short Term Memory Deep Learning Architecture Malware Classification CNN LSTM Malware Classifier

March 18, 2024

Shifting the Lens: Detecting Malware in npm Ecosystem with Large Language Models
Nusrat Zahan, Philipp Burckhardt, Mikola Lysenko, Feross Aboukhadijeh, Laurie Williams
Camera Lens Supply Chain Malware Attack Malware Classification Open Source Ecosystem

February 2, 2024

TESSERACT: Eliminating Experimental Bias in Malware Classification across Space and Time (Extended Version)
Zeliang Kan, Shae McFadden, Daniel Arp, Feargus Pendlebury, Roberto Jordaney, Johannes Kinder, Fabio Pierazzi, Lorenzo Cavallaro
Machine Learning Time Matter Malware Detection Extended Version Malware Classification Publication Bias Classifier Robustness Classifier Performance

December 15, 2023

A Malware Classification Survey on Adversarial Attacks and Defences
Mahesh Datta Sai Ponnuru, Likhitha Amasala, Tanu Sree Bhimavarapu, Guna Chaitanya Garikipati
Adversarial Attack Malware Detection Malware Classification

November 21, 2023

High-resolution Image-based Malware Classification using Multiple Instance Learning
Tim Peters, Hikmat Farhat
High Resolution Multiple Instance Learning Grayscale Image Malware Classification Multiple Instance Malware Datasets

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 19, 2023

Nebula: Self-Attention for Dynamic Malware Analysis
Dmitrijs Trizna, Luca Demetrio, Battista Biggio, Fabio Roli
Machine Learning Model Self Attention Malware Detection Malware Classification Malware Analysis Data Analysis Pipeline Multi Purpose Malware

August 21, 2023

Malware Classification using Deep Neural Networks: Performance Evaluation and Applications in Edge Devices
Akhil M R, Adithya Krishna V Sharma, Harivardhan Swamy, Pavan A, Ashray Shetty, Anirudh B Sathyanarayana
Deep Neural Network Financial Application State of the Art Edge Device Performance Evaluation Malware Classification

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 10, 2023

Impact of Feature Encoding on Malware Classification Explainability
Elyes Manai, Mohamed Mejri, Jaouhar Fattahi
Global Impact High Explainability Explainable Artificial Intelligence Malware Classification XAI Research Feature Encoding Malware Datasets

July 7, 2023

A Natural Language Processing Approach to Malware Classification
Ritik Mehta, Olha Jurečková, Mark Stamp
Deep Learning Natural Language Processing Malware Detection Hidden Markov Model Malware Classification Hidden State Malware Datasets

June 25, 2023

Steganographic Capacity of Deep Learning Models
Lei Zhang, Dong Li, Olha Jurečková, Mark Stamp
Deep Learning Model Multi Layer Steganographic Performance Malware Classification

June 1, 2023

Case Study-Based Approach of Quantum Machine Learning in Cybersecurity: Quantum Support Vector Machine for Malware Classification and Protection
Mst Shapna Akter, Hossain Shahriar, Sheikh Iqbal Ahamed, Kishor Datta Gupta, Muhammad Rahman, Atef Mohamed, Mohammad Rahman, Akond Rahman, Fan Wu
Quantum Machine Learning Cybersecurity Perspective Quantum Support Vector Machine Malware Classification

Malware Classification

Papers

Accelerating Malware Classification: A Vision Transformer Solution

Examining the Rat in the Tunnel: Interpretable Multi-Label Classification of Tor-based Malware

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

Revisiting Static Feature-Based Android Malware Detection

Explainable Malware Analysis: Concepts, Approaches and Challenges

kNN Classification of Malware Data Dependency Graph Features

Deep Multi-Task Learning for Malware Image Classification

CNN-LSTM and Transfer Learning Models for Malware Classification based on Opcodes and API Calls

Shifting the Lens: Detecting Malware in npm Ecosystem with Large Language Models

TESSERACT: Eliminating Experimental Bias in Malware Classification across Space and Time (Extended Version)

A Malware Classification Survey on Adversarial Attacks and Defences

High-resolution Image-based Malware Classification using Multiple Instance Learning

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

Nebula: Self-Attention for Dynamic Malware Analysis

Malware Classification using Deep Neural Networks: Performance Evaluation and Applications in Edge Devices

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

Impact of Feature Encoding on Malware Classification Explainability

A Natural Language Processing Approach to Malware Classification

Steganographic Capacity of Deep Learning Models

Case Study-Based Approach of Quantum Machine Learning in Cybersecurity: Quantum Support Vector Machine for Malware Classification and Protection