Malware Detection

Malware detection research aims to develop robust and efficient methods for identifying malicious software, focusing on overcoming challenges like obfuscation and the emergence of novel attack techniques. Current efforts concentrate on leveraging deep learning architectures, including convolutional neural networks (CNNs), recurrent neural networks (RNNs), transformers, and large language models (LLMs), often incorporating techniques like transfer learning, self-supervised learning, and few-shot learning to improve accuracy and generalization. These advancements are crucial for enhancing cybersecurity defenses across various platforms (Windows, Android, IoT) and mitigating the ever-evolving threat landscape, with a growing emphasis on explainable AI to increase transparency and trust in automated detection systems.

Papers

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 12, 2023

On building machine learning pipelines for Android malware detection: a procedural survey of practices, challenges and opportunities
Masoud Mehrabi Koushki, Ibrahim AbuAlhaol, Anandharaju Durai Raju, Yang Zhou, Ronnie Salvador Giagone, Huang Shengqiang
Machine Learning Timely Survey Technical Challenge New Machine Machine Learning Algorithm Malware Detection Malware Attack Android Malware Energy Pipeline

May 15, 2023

Survey of Malware Analysis through Control Flow Graph using Machine Learning
Shaswata Mitra, Stephen A. Torri, Sudip Mittal
Machine Learning Timely Survey Malware Detection Malware Analysis Control Flow

May 3, 2023

Can Feature Engineering Help Quantum Machine Learning for Malware Detection?
Ran Liu, Maksim Eren, Charles Nicholas
Machine Learning Quantum Machine Learning Malware Detection Malware Classification 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

April 14, 2023

Combining Generators of Adversarial Malware Examples to Increase Evasion Rate
Matouš Kozák, Martin Jureček
Adversarial Attack Malware Detection Malware Attack Malware Analysis Adversarial Malware Multi Layer Generator

March 28, 2023

A Survey on Malware Detection with Graph Representation Learning
Tristan Bilot, Nour El Madhoun, Khaldoun Al Agha, Anis Zouaoui
Graph Neural Network Timely Survey Adversarial Attack Graph Representation Learning Malware Detection Graph Based Deep Learning

March 20, 2023

DRSM: De-Randomized Smoothing on Malware Classifier Providing Certified Robustness
Shoumik Saha, Wenxiao Wang, Yigitcan Kaya, Soheil Feizi, Tudor Dumitras
Adversarial Learning Malware Detection Randomized Smoothing Certified Robustness Smoothed Classifier Malware Classifier Decentralized Riemannian

February 16, 2023

Generative Adversarial Networks for Malware Detection: a Survey
Aeryn Dunmore, Julian Jang-Jaccard, Fariza Sabrina, Jin Kwak
Timely Survey Generative Adversarial Network GAN Model Generative Adversarial Malware Detection

February 11, 2023

Sequential Embedding-based Attentive (SEA) classifier for malware classification
Muhammad Ahmed, Anam Qureshi, Jawwad Ahmed Shamsi, Murk Marvi
Natural Language Processing Simple Classifier Malware Detection Upper Ocean Malware Attack Malware Classification Effective Classifier

January 30, 2023

Behavioural Reports of Multi-Stage Malware
Marcus Carpenter, Chunbo Luo
Malware Detection Intrusion Detection System Behavioral Data Malware Sample Metamorphic Malware

January 26, 2023

New Approach to Malware Detection Using Optimized Convolutional Neural Network
Marwan Omar
Convolutional Neural Network Deep Learning Model CNN Model Novel Approach Malware Detection

January 15, 2023

A Review on the effectiveness of Dimensional Reduction with Computational Forensics: An Application on Malware Analysis
Aye Thaw Da Naing, Justin Soh Beng Guan, Yarzar Shwe Win, Jonathan Pan
Application Proficiency Principal Component Analysis Malware Detection Dimension Reduction Malware Analysis

December 12, 2022

Machine Learning for Detecting Malware in PE Files
Collin Connors, Dilip Sarkar
Machine Learning Malware Detection Malware Attack Cyber Threat Based Malware Metamorphic Malware

November 20, 2022

Mask Off: Analytic-based Malware Detection By Transfer Learning and Model Personalization
Amirmohammad Pasdar, Young Choon Lee, Seok-Hee Hong
Deep Neural Network Transfer Learning Malware Detection Android Malware Model Personalization

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 6, 2022

MAIL: Malware Analysis Intermediate Language
Shahid Alam
Data Detection Malware Detection Detection Method Malware Analysis