Cover Image

MALIGN: Explainable Static Raw-byte Based Malware Family Classification using Sequence Alignment

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Saha, Shoumik, Afroz, Sadia, Rahman, Atif
Format:	Preprint
Published:	2021
Subjects:	Cryptography and Security
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

ML-Based Behavioral Malware Detection Is Far From a Solved Problem
by: Kaya, Yigitcan, et al.
Published: (2024)

Through the Static: Demystifying Malware Visualization via Explainability
by: Brosolo, Matteo, et al.
Published: (2025)

RawMal-TF: Raw Malware Dataset Labeled by Type and Family
by: Bálik, David, et al.
Published: (2025)

Explainable Deep Learning Models for Dynamic and Online Malware Classification
by: Card, Quincy, et al.
Published: (2024)

Catch'em all: Classification of Rare, Prominent, and Novel Malware Families
by: Eren, Maksim E., et al.
Published: (2024)

Malware Classification Based on Image Segmentation
by: Nie, Wanhu
Published: (2024)

Under the Hood of SKILL.md: Semantic Supply-chain Attacks on AI Agent Skill Registry
by: Saha, Shoumik, et al.
Published: (2026)

Explainability-Informed Targeted Malware Misclassification
by: Card, Quincy, et al.
Published: (2024)

An Explainable Memory Forensics Approach for Malware Analysis
by: Sanna, Silvia Lucia, et al.
Published: (2026)

Automated Malware Family Classification using Weighted Hierarchical Ensembles of Large Language Models
by: Bai, Samita, et al.
Published: (2026)

Feasibility Study for Supporting Static Malware Analysis Using LLM
by: Fujii, Shota, et al.
Published: (2024)

Evaluating Retrieval-Augmented Generation for Explainable Malware Analysis
by: Ng, Jayson, et al.
Published: (2026)

Explainability Guided Adversarial Evasion Attacks on Malware Detectors
by: Aryal, Kshitiz, et al.
Published: (2024)

Multi-label Classification for Android Malware Based on Active Learning
by: Qiao, Qijing, et al.
Published: (2024)

Detecting and Explaining Malware Family Evolution Using Rule-Based Drift Analysis
by: Jurečková, Olha, et al.
Published: (2026)

R+R: Revisiting Static Feature-Based Android Malware Detection using Machine Learning
by: Alam, Md Tanvirul, et al.
Published: (2024)

MalGEN: A Testbed for Modeling and Evaluating Malware Behaviors
by: Saha, Bikash, et al.
Published: (2025)

Semantic Data Representation for Explainable Windows Malware Detection Models
by: Švec, Peter, et al.
Published: (2024)

MalCL: Leveraging GAN-Based Generative Replay to Combat Catastrophic Forgetting in Malware Classification
by: Park, Jimin, et al.
Published: (2025)

FARM: Few-shot Adaptive Malware Family Classification under Concept Drift
by: Guldemir, Numan Halit, et al.
Published: (2026)

Beyond the Wrapper: Identifying Artifact Reliance in Static Malware Classifiers using TRUSTEE
by: Mohammed, Riyazuddin, et al.
Published: (2026)

Rethinking and Exploring String-Based Malware Family Classification in the Era of LLMs and RAG
by: Chen, Yufan, et al.
Published: (2025)

The Road Less Traveled: Investigating Robustness and Explainability in CNN Malware Detection
by: Brosolo, Matteo, et al.
Published: (2025)

Demystifying Feature Engineering in Malware Analysis of API Call Sequences
by: Qu, Tianheng, et al.
Published: (2025)

Explainable Android Malware Detection and Malicious Code Localization Using Graph Attention
by: Ipek, Merve Cigdem, et al.
Published: (2025)

ClarAVy: A Tool for Scalable and Accurate Malware Family Labeling
by: Joyce, Robert J., et al.
Published: (2025)

Use of Multi-CNNs for Section Analysis in Static Malware Detection
by: Quertier, Tony, et al.
Published: (2024)

Multimodal Techniques for Malware Classification
by: Jiang, Jonathan, et al.
Published: (2025)

A Research and Development Portfolio of GNN Centric Malware Detection, Explainability, and Dataset Curation
by: Shokouhinejad, Hossein, et al.
Published: (2025)

Transparent Malware Detection With Granular Assembly Flow Explainability via Graph Neural Networks
by: Higgins, Griffin, et al.
Published: (2026)

EarlyMalDetect: A Novel Approach for Early Windows Malware Detection Based on Sequences of API Calls
by: Maniriho, Pascal, et al.
Published: (2024)

Transcending Transcend: Revisiting Malware Classification in the Presence of Concept Drift
by: Barbero, Federico, et al.
Published: (2020)

FOCA: Multimodal Malware Classification via Hyperbolic Cross-Attention
by: Choudhury, Nitin, et al.
Published: (2026)

Online Clustering of Known and Emerging Malware Families
by: Jurečková, Olha, et al.
Published: (2024)

MADAR: Efficient Continual Learning for Malware Analysis with Distribution-Aware Replay
by: Rahman, Mohammad Saidur, et al.
Published: (2025)

Recent Advances in Malware Detection: Graph Learning and Explainability
by: Shokouhinejad, Hossein, et al.
Published: (2025)

Explainable Malware Detection with Tailored Logic Explained Networks
by: Anthony, Peter, et al.
Published: (2024)

Image-Based Malware Classification Using QR and Aztec Codes
by: Khadilkar, Atharva, et al.
Published: (2024)

MalVis: A Large-Scale Image-Based Framework and Dataset for Advancing Android Malware Classification
by: Makkawy, Saleh J., et al.
Published: (2025)

Scaling Up: Revisiting Mining Android Sandboxes at Scale for Malware Classification
by: Costa, Francisco, et al.
Published: (2025)