A Study of Malware Prevention in Linux Distributions
Fuente:
arXiv
Saved in:
| Main Authors: | Vu, Duc-Ly, Dunlap, Trevor, Obermeier-Velazquez, Karla, Nguyen, Thanh-Cong, Gibert, Paul, Meyers, John Speed, Torres-Arias, Santiago |
|---|---|
| Format: | Preprint |
| Published: |
2024
|
| Subjects: | |
| Online Access: | |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
Pack-A-Mal: A Malware Analysis Framework for Open-Source Packages
by: Vu, Duc-Ly, et al.
Published: (2025)
by: Vu, Duc-Ly, et al.
Published: (2025)
Towards Classifying Benign And Malicious Packages Using Machine Learning
by: Nguyen, Thanh-Cong, et al.
Published: (2025)
by: Nguyen, Thanh-Cong, et al.
Published: (2025)
Compliance as Code: A Study of Linux Distributions and Beyond
by: Ruohonen, Jukka, et al.
Published: (2026)
by: Ruohonen, Jukka, et al.
Published: (2026)
BIDO: An Out-Of-Distribution Resistant Image-based Malware Detector
by: Wang, Wei, et al.
Published: (2025)
by: Wang, Wei, et al.
Published: (2025)
Inferring Properties of Graph Neural Networks
by: Nguyen, Dat, et al.
Published: (2024)
by: Nguyen, Dat, et al.
Published: (2024)
A Static Analysis of Popular C Packages in Linux
by: Ruohonen, Jukka, et al.
Published: (2024)
by: Ruohonen, Jukka, et al.
Published: (2024)
An Investigation of Patch Porting Practices of the Linux Kernel Ecosystem
by: Li, Xingyu, et al.
Published: (2024)
by: Li, Xingyu, et al.
Published: (2024)
DiVerify: Hardening Identity-Based Software Signing with Diverse-Context Scopes
by: Okafor, Chinenye, et al.
Published: (2024)
by: Okafor, Chinenye, et al.
Published: (2024)
Automatic Detection of Reference Counting Bugs in Linux Kernel Drivers
by: Hattori, Joe, et al.
Published: (2026)
by: Hattori, Joe, et al.
Published: (2026)
Linux Kernel Recency Matters, CVE Severity Doesn't, and History Fades
by: Przymus, Piotr, et al.
Published: (2026)
by: Przymus, Piotr, et al.
Published: (2026)
KernJC: Automated Vulnerable Environment Generation for Linux Kernel Vulnerabilities
by: Ruan, Bonan, et al.
Published: (2024)
by: Ruan, Bonan, et al.
Published: (2024)
Rust for Embedded Systems: Current State, Challenges and Open Problems (Extended Report)
by: Sharma, Ayushi, et al.
Published: (2023)
by: Sharma, Ayushi, et al.
Published: (2023)
Take a Step Further: Understanding Page Spray in Linux Kernel Exploitation
by: Guo, Ziyi, et al.
Published: (2024)
by: Guo, Ziyi, et al.
Published: (2024)
Tracking Software Security Topics
by: Vu, Phong Minh, et al.
Published: (2024)
by: Vu, Phong Minh, et al.
Published: (2024)
Mapping NVD Records to Their Vulnerability-fixing Commits: How Hard is It?
by: Nguyen, Huu Hung, et al.
Published: (2025)
by: Nguyen, Huu Hung, et al.
Published: (2025)
SoK: Analysis of Software Supply Chain Security by Establishing Secure Design Properties
by: Okafor, Chinenye, et al.
Published: (2024)
by: Okafor, Chinenye, et al.
Published: (2024)
Identifying Adversary Tactics and Techniques in Malware Binaries with an LLM Agent
by: Xuan, Zhou, et al.
Published: (2026)
by: Xuan, Zhou, et al.
Published: (2026)
MARD: A Multi-Agent Framework for Robust Android Malware Detection
by: Zeng, Xueying, et al.
Published: (2026)
by: Zeng, Xueying, et al.
Published: (2026)
A Time Series Analysis of Malware Uploads to Programming Language Ecosystems
by: Ruohonen, Jukka, et al.
Published: (2025)
by: Ruohonen, Jukka, et al.
Published: (2025)
FCGHunter: Towards Evaluating Robustness of Graph-Based Android Malware Detection
by: Song, Shiwen, et al.
Published: (2025)
by: Song, Shiwen, et al.
Published: (2025)
Patch-to-PoC: A Systematic Study of Agentic LLM Systems for Linux Kernel N-Day Reproduction
by: Pu, Juefei, et al.
Published: (2026)
by: Pu, Juefei, et al.
Published: (2026)
An Industry Interview Study of Software Signing for Supply Chain Security
by: Kalu, Kelechi G., et al.
Published: (2024)
by: Kalu, Kelechi G., et al.
Published: (2024)
A Longitudinal Study of Usability in Identity-Based Software Signing
by: Kalu, Kelechi G., et al.
Published: (2026)
by: Kalu, Kelechi G., et al.
Published: (2026)
Detecting Android Malware by Visualizing App Behaviors from Multiple Complementary Views
by: Meng, Zhaoyi, et al.
Published: (2024)
by: Meng, Zhaoyi, et al.
Published: (2024)
Enhancing Android Malware Detection: The Influence of ChatGPT on Decision-centric Task
by: Li, Yao, et al.
Published: (2024)
by: Li, Yao, et al.
Published: (2024)
MalCVE: Malware Detection and CVE Association Using Large Language Models
by: Cristea, Eduard Andrei, et al.
Published: (2025)
by: Cristea, Eduard Andrei, et al.
Published: (2025)
MalFlows: Context-aware Fusion of Heterogeneous Flow Semantics for Android Malware Detection
by: Meng, Zhaoyi, et al.
Published: (2025)
by: Meng, Zhaoyi, et al.
Published: (2025)
Static Semantics Reconstruction for Enhancing JavaScript-WebAssembly Multilingual Malware Detection
by: Xia, Yifan, et al.
Published: (2023)
by: Xia, Yifan, et al.
Published: (2023)
A Practical Adversarial Attack against Sequence-based Deep Learning Malware Classifiers
by: Tan, Kai, et al.
Published: (2025)
by: Tan, Kai, et al.
Published: (2025)
Synergistic Directed Execution and LLM-Driven Analysis for Zero-Day AI-Generated Malware Detection
by: Edwards, George, et al.
Published: (2026)
by: Edwards, George, et al.
Published: (2026)
Why Johnny Adopts Identity-Based Software Signing: A Usability Case Study of Sigstore
by: Kalu, Kelechi G., et al.
Published: (2025)
by: Kalu, Kelechi G., et al.
Published: (2025)
Establishing Provenance Before Coding: Traditional and Next-Gen Software Signing
by: Schorlemmer, Taylor R., et al.
Published: (2024)
by: Schorlemmer, Taylor R., et al.
Published: (2024)
Tactics, Techniques, and Procedures (TTPs) in Interpreted Malware: A Zero-Shot Generation with Large Language Models
by: Zhang, Ying, et al.
Published: (2024)
by: Zhang, Ying, et al.
Published: (2024)
FlowMalTrans: Unsupervised Binary Code Translation for Malware Detection Using Flow-Adapter Architecture
by: Hu, Minghao, et al.
Published: (2025)
by: Hu, Minghao, et al.
Published: (2025)
PatchSeeker: Mapping NVD Records to their Vulnerability-fixing Commits with LLM Generated Commits and Embeddings
by: Nguyen, Huu Hung, et al.
Published: (2025)
by: Nguyen, Huu Hung, et al.
Published: (2025)
Six Million (Suspected) Fake Stars in GitHub: A Growing Spiral of Popularity Contests, Spams, and Malware
by: He, Hao, et al.
Published: (2024)
by: He, Hao, et al.
Published: (2024)
Integrating APK Image and Text Data for Enhanced Threat Detection: A Multimodal Deep Learning Approach to Android Malware
by: Arifin, Md Mashrur, et al.
Published: (2026)
by: Arifin, Md Mashrur, et al.
Published: (2026)
ARMS: A Vision for Actor Reputation Metric Systems in the Open-Source Software Supply Chain
by: Kalu, Kelechi G., et al.
Published: (2025)
by: Kalu, Kelechi G., et al.
Published: (2025)
APT-ClaritySet: A Large-Scale, High-Fidelity Labeled Dataset for APT Malware with Alias Normalization and Graph-Based Deduplication
by: Yin, Zhenhao, et al.
Published: (2025)
by: Yin, Zhenhao, et al.
Published: (2025)
ByteShield: Adversarially Robust End-to-End Malware Detection through Byte Masking
by: Gibert, Daniel, et al.
Published: (2025)
by: Gibert, Daniel, et al.
Published: (2025)
Similar Items
-
Pack-A-Mal: A Malware Analysis Framework for Open-Source Packages
by: Vu, Duc-Ly, et al.
Published: (2025) -
Towards Classifying Benign And Malicious Packages Using Machine Learning
by: Nguyen, Thanh-Cong, et al.
Published: (2025) -
Compliance as Code: A Study of Linux Distributions and Beyond
by: Ruohonen, Jukka, et al.
Published: (2026) -
BIDO: An Out-Of-Distribution Resistant Image-based Malware Detector
by: Wang, Wei, et al.
Published: (2025) -
Inferring Properties of Graph Neural Networks
by: Nguyen, Dat, et al.
Published: (2024)