Cover Image

ByteStack-ID: Integrated Stacked Model Leveraging Payload Byte Frequency for Grayscale Image-based Network Intrusion Detection

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Khan, Irfan, Farrukh, Yasir Ali, Wali, Syed
Format:	Preprint
Published:	2023
Subjects:	Cryptography and Security Artificial Intelligence Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

XG-NID: Dual-Modality Network Intrusion Detection using a Heterogeneous Graph Neural Network and Large Language Model
by: Farrukh, Yasir Ali, et al.
Published: (2024)

A Novel Byte-Level Flow-to-Image Encoding Method for Network Intrusion Detection Systems
by: Mu, Ziyu, et al.
Published: (2026)

Payload-Aware Intrusion Detection with CMAE and Large Language Models
by: Kim, Yongcheol, et al.
Published: (2025)

Explainable Attention-Guided Stacked Graph Neural Networks for Malware Detection
by: Shokouhinejad, Hossein, et al.
Published: (2025)

SCGNet-Stacked Convolution with Gated Recurrent Unit Network for Cyber Network Intrusion Detection and Intrusion Type Classification
by: Akter, Rajana, et al.
Published: (2024)

ByteShield: Adversarially Robust End-to-End Malware Detection through Byte Masking
by: Gibert, Daniel, et al.
Published: (2025)

eX-NIDS: A Framework for Explainable Network Intrusion Detection Leveraging Large Language Models
by: Houssel, Paul R. B., et al.
Published: (2025)

Packed Malware Detection Using Grayscale Binary-to-Image Representations
by: Alkhateeb, Ehab, et al.
Published: (2025)

NanoTag: Systems Support for Efficient Byte-Granular Overflow Detection on ARM MTE
by: Li, Mingkai, et al.
Published: (2025)

Attribution-Driven Explainable Intrusion Detection with Encoder-Based Large Language Models
by: Biswas, Umesh, et al.
Published: (2026)

Byte by Byte: Unmasking Browser Fingerprinting at the Function Level Using V8 Bytecode Transformers
by: Bahrami, Pouneh Nikkhah, et al.
Published: (2025)

Cryptic Bytes: WebAssembly Obfuscation for Evading Cryptojacking Detection
by: Harnes, Håkon, et al.
Published: (2024)

Multi-agent Reinforcement Learning-based Network Intrusion Detection System
by: Tellache, Amine, et al.
Published: (2024)

XAI-based Feature Selection for Improved Network Intrusion Detection Systems
by: Arreche, Osvaldo, et al.
Published: (2024)

Positional-Unigram Byte Models for Generalized TLS Fingerprinting
by: Valdez, Hector A., et al.
Published: (2024)

SDNGuardStack: An Explainable Ensemble Learning Framework for High-Accuracy Intrusion Detection in Software-Defined Networks
by: Ashikuzzaman, et al.
Published: (2026)

EAB-FL: Exacerbating Algorithmic Bias through Model Poisoning Attacks in Federated Learning
by: Meerza, Syed Irfan Ali, et al.
Published: (2024)

Hybrid Machine Learning Models for Intrusion Detection in IoT: Leveraging a Real-World IoT Dataset
by: Akif, Md Ahnaf, et al.
Published: (2025)

AntiPhishStack: LSTM-based Stacked Generalization Model for Optimized Phishing URL Detection
by: Aslam, Saba, et al.
Published: (2024)

Efficient IoT Intrusion Detection with an Improved Attention-Based CNN-BiLSTM Architecture
by: Naeem, Amna, et al.
Published: (2025)

Poster: Enhancing GNN Robustness for Network Intrusion Detection via Agent-based Analysis
by: Zhan, Zhonghao, et al.
Published: (2025)

Problem space structural adversarial attacks for Network Intrusion Detection Systems based on Graph Neural Networks
by: Venturi, Andrea, et al.
Published: (2024)

Gotham Dataset 2025: A Reproducible Large-Scale IoT Network Dataset for Intrusion Detection and Security Research
by: Belarbi, Othmane, et al.
Published: (2025)

MambaNetBurst: Direct Byte-level Network Traffic Classification without Tokenization or Pretraining
by: Kulatilleke, Gayan K., et al.
Published: (2026)

Assessing Generalisation Capability of Machine Learning Models for Intrusion Detection
by: Hossain, Md Zakir, et al.
Published: (2026)

Transforming In-Vehicle Network Intrusion Detection: VAE-based Knowledge Distillation Meets Explainable AI
by: Yagiz, Muhammet Anil, et al.
Published: (2024)

From Flows to Words: Can Zero-/Few-Shot LLMs Detect Network Intrusions? A Grammar-Constrained, Calibrated Evaluation on UNSW-NB15
by: Rehman, Mohammad Abdul, et al.
Published: (2025)

Deep Learning-based Intrusion Detection Systems: A Survey
by: Xu, Zhiwei, et al.
Published: (2025)

LiPar: A Lightweight Parallel Learning Model for Practical In-Vehicle Network Intrusion Detection
by: Zhang, Aiheng, et al.
Published: (2023)

A Survey for Deep Reinforcement Learning Based Network Intrusion Detection
by: Yang, Wanrong, et al.
Published: (2024)

Resource-Aware Deployment Optimization for Collaborative Intrusion Detection in Layered Networks
by: Gómez, André García, et al.
Published: (2026)

CleanStack: A New Dual-Stack for Defending Against Stack-Based Memory Corruption Attacks
by: Chong, Lei
Published: (2025)

WATSON: Leveraging Data Watchpoints for Shadow Stack Protection on Embedded Systems
by: Tan, Xi, et al.
Published: (2026)

TEAM: Temporal Adversarial Examples Attack Model against Network Intrusion Detection System Applied to RNN
by: Liu, Ziyi, et al.
Published: (2024)

Byte-level Object Bounds Protection
by: Kedia, Piyus
Published: (2026)

Large Language Models in Wireless Application Design: In-Context Learning-enhanced Automatic Network Intrusion Detection
by: Zhang, Han, et al.
Published: (2024)

Are We There Yet? Unraveling the State-of-the-Art Graph Network Intrusion Detection Systems
by: Wang, Chenglong, et al.
Published: (2025)

An Interpretable Generalization Mechanism for Accurately Detecting Anomaly and Identifying Networking Intrusion Techniques
by: Pai, Hao-Ting, et al.
Published: (2024)

Towards Ultra-Low Latency: Binarized Neural Network Architectures for In-Vehicle Network Intrusion Detection
by: Dong, Huiyao, et al.
Published: (2025)

Explainable AI-based Intrusion Detection System for Industry 5.0: An Overview of the Literature, associated Challenges, the existing Solutions, and Potential Research Directions
by: Khan, Naseem, et al.
Published: (2024)