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

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

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

October 25, 2022

Flexible Android Malware Detection Model based on Generative Adversarial Networks with Code Tensor
Zhao Yang, Fengyang Deng, Linxi Han
Generative Adversarial Network Malware Detection Android Malware Tensor Code

October 12, 2022

The State-of-the-Art in AI-Based Malware Detection Techniques: A Review
Adam Wolsey
Narrative Review State of the Art Malware Detection Artificial Intelligence Technique Malware Representation

October 1, 2022

Adversarial Attacks on Transformers-Based Malware Detectors
Yash Jakhotiya, Heramb Patil, Jugal Rawlani, Dr. Sunil B. Mane
Adversarial Attack Malware Detection

September 6, 2022

August 17, 2022

An Efficient Multi-Step Framework for Malware Packing Identification
Jong-Wouk Kim, Yang-Sae Moon, Mi-Jung Choi
Malware Detection Multi Step Malware Analysis Malware Classifier