Cover Image

Evasion of IoT Malware Detection via Dummy Code Injection

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Zargarzadeh, Sahar, Islam, Mohammad
Format:	Preprint
Published:	2026
Subjects:	Cryptography and Security Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Learning to Look Benign: Targeted Evasion of Malware Detectors via API Import Injection
by: Dautartas, Juozas, et al.
Published: (2026)

Towards Certified Malware Detection: Provable Guarantees Against Evasion Attacks
by: Giri, Nandakrishna, et al.
Published: (2026)

Optimized IoT Intrusion Detection using Machine Learning Technique
by: Mahmud, Muhammad Zawad, et al.
Published: (2024)

IoT-based Android Malware Detection Using Graph Neural Network With Adversarial Defense
by: Yumlembam, Rahul, et al.
Published: (2025)

EvadeDroid: A Practical Evasion Attack on Machine Learning for Black-box Android Malware Detection
by: Bostani, Hamid, et al.
Published: (2021)

Building an Adversarial Malware Dataset by Family and Type: Generation, Evasion, and Poisoning Evaluation
by: Košťál, David, et al.
Published: (2026)

SD-CGAN: Conditional Sinkhorn Divergence GAN for DDoS Anomaly Detection in IoT Networks
by: Onyeka, Henry, et al.
Published: (2025)

Dummy-Aware Weighted Attack (DAWA): Breaking the Safe Sink in Dummy Class Defenses
by: Yu, Yunrui, et al.
Published: (2026)

Uncovering and Understanding FPR Manipulation Attack in Industrial IoT Networks
by: Ahsan, Mohammad Shamim, et al.
Published: (2026)

Dynamic Temporal Positional Encodings for Early Intrusion Detection in IoT
by: Panopoulos, Ioannis, et al.
Published: (2025)

Optimizing IoT Threat Detection with Kolmogorov-Arnold Networks (KANs)
by: Emelianova, Natalia, et al.
Published: (2025)

Intelligent Detection of Non-Essential IoT Traffic on the Home Gateway
by: Palmese, Fabio, et al.
Published: (2025)

Towards Efficient Machine Learning Method for IoT DDoS Attack Detection
by: Modi, P
Published: (2024)

Network Anomaly Detection for IoT Using Hyperdimensional Computing on NSL-KDD
by: Ghajari, Ghazal, et al.
Published: (2025)

Detecting Compromised IoT Devices Using Autoencoders with Sequential Hypothesis Testing
by: Mainuddin, Md, et al.
Published: (2024)

Unsupervised Anomaly Detection for Smart IoT Devices: Performance and Resource Comparison
by: Sami, Md. Sad Abdullah, et al.
Published: (2025)

Binary Anomaly Detection in Streaming IoT Traffic under Concept Drift
by: Carnier, Rodrigo Matos, et al.
Published: (2025)

Dual Explanations via Subgraph Matching for Malware Detection
by: Shokouhinejad, Hossein, et al.
Published: (2025)

On Benchmarking Code LLMs for Android Malware Analysis
by: He, Yiling, et al.
Published: (2025)

FLARE: Feature-based Lightweight Aggregation for Robust Evaluation of IoT Intrusion Detection
by: Boswell, Bradley, et al.
Published: (2025)

Enhancing Cybersecurity in IoT Networks: A Deep Learning Approach to Anomaly Detection
by: Pang, Yining, et al.
Published: (2024)

A Comparative Analysis of Machine Learning Models for DDoS Detection in IoT Networks
by: Shakya, Sushil, et al.
Published: (2024)

Adaptive Intrusion Detection for Evolving RPL IoT Attacks Using Incremental Learning
by: Bas, Sumeyye, et al.
Published: (2025)

Hybrid LLM-Enhanced Intrusion Detection for Zero-Day Threats in IoT Networks
by: Al-Hammouri, Mohammad F., et al.
Published: (2025)

Intra-Section Code Cave Injection for Adversarial Evasion Attacks on Windows PE Malware File
by: Aryal, Kshitiz, et al.
Published: (2024)

Assessing Cyclostationary Malware Detection via Feature Selection and Classification
by: Nkongolo, Mike
Published: (2023)

In-network Attack Detection with Federated Deep Learning in IoT Networks: Real Implementation and Analysis
by: Chaudhary, Devashish, et al.
Published: (2026)

SunBlock: Cloudless Protection for IoT Systems
by: Safronov, Vadim, et al.
Published: (2024)

Malware Detection based on API calls
by: Fellicious, Christofer, et al.
Published: (2025)

A Conditional Tabular GAN-Enhanced Intrusion Detection System for Rare Attacks in IoT Networks
by: Menssouri, Safaa, et al.
Published: (2025)

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

Open Set Dandelion Network for IoT Intrusion Detection
by: Wu, Jiashu, et al.
Published: (2023)

Poisoned Source Code Detection in Code Models
by: Ghannoum, Ehab, et al.
Published: (2025)

SCORE: Syntactic Code Representations for Static Script Malware Detection
by: Erdemir, Ecenaz, et al.
Published: (2024)

Cluster Analysis and Concept Drift Detection in Malware
by: Mishra, Aniket, et al.
Published: (2025)

LLM-Generated Samples for Android Malware Detection
by: Rollinson, Nik, et al.
Published: (2025)

A-THENA: Early Intrusion Detection for IoT with Time-Aware Hybrid Encoding and Network-Specific Augmentation
by: Panopoulos, Ioannis, et al.
Published: (2026)

Adaptive and Robust Data Poisoning Detection and Sanitization in Wearable IoT Systems using Large Language Models
by: Mithsara, W. K. M, et al.
Published: (2025)

Intrusion Detection in IoT Networks Using Hyperdimensional Computing: A Case Study on the NSL-KDD Dataset
by: Ghajari, Ghazal, et al.
Published: (2025)

Dynamic Black-box Backdoor Attacks on IoT Sensory Data
by: Chathoth, Ajesh Koyatan, et al.
Published: (2025)