Attack Classification

Attack classification focuses on identifying the type of malicious activity in a system, a crucial task for cybersecurity and network security. Current research emphasizes improving the accuracy and robustness of classification models, particularly addressing challenges like imbalanced datasets and adversarial examples, using techniques such as data augmentation, deep learning architectures (e.g., recurrent neural networks, convolutional neural networks), and ensemble methods. These advancements are vital for enhancing intrusion detection systems, improving incident response, and mitigating the impact of sophisticated attacks across various domains, including network security, audio deepfakes, and power systems. The ultimate goal is to develop more effective and reliable methods for identifying and responding to diverse cyber threats.

Papers

October 29, 2024

SCGNet-Stacked Convolution with Gated Recurrent Unit Network for Cyber Network Intrusion Detection and Intrusion Type Classification
Rajana Akter, Shahnure Rabib, Rahul Deb Mohalder, Laboni Paul, Ferdous Bin Ali
Direct Convolution Network Intrusion Detection Intrusion Detection System Gated Recurrent Unit NSL KDD Attack Classification

August 28, 2024

Systematic Evaluation of Synthetic Data Augmentation for Multi-class NetFlow Traffic
Maximilian Wolf, Dieter Landes, Andreas Hotho, Daniel Schlör
Intrusion Detection Network Intrusion Detection Imbalanced Datasets Synthetic Data Augmentation Attack Classification

February 29, 2024

Unraveling Adversarial Examples against Speaker Identification -- Techniques for Attack Detection and Victim Model Classification
Sonal Joshi, Thomas Thebaud, Jesús Villalba, Najim Dehak
Adversarial Attack Adversarial Example Speaker Verification Barzilai Borwein Technique Speaker Identification Attack Detection Victim Model Attack Classification

December 8, 2023

Critical Analysis of 5G Networks Traffic Intrusion using PCA, t-SNE and UMAP Visualization and Classifying Attacks
Humera Ghani, Shahram Salekzamankhani, Bal Virdee
Nearest Neighbor Principal Component Analysis Data Dimensionality G Network SNE Algorithm Attack Classification Uniform Manifold Approximation and Projection

October 25, 2023

A model for multi-attack classification to improve intrusion detection performance using deep learning approaches
Arun Kumar Silivery, Ram Mohan Rao Kovvur
Deep Learning Deep Neural Network Full Model Recurrent Neural Network Intrusion Detection Attack Classification

October 2, 2023

Enhancing ML-Based DoS Attack Detection Through Combinatorial Fusion Analysis
Evans Owusu, Mohamed Rahouti, D. Frank Hsu, Kaiqi Xiong, Yufeng Xin
Distributed Denial of Service DEfense Mechanism Attack Classification

October 13, 2022

A Stream Learning Approach for Real-Time Identification of False Data Injection Attacks in Cyber-Physical Power Systems
Ehsan Hallaji, Roozbeh Razavi-Far, Meng Wang, Mehrdad Saif, Bruce Fardanesh
Data Driven Real Time State Estimation Cyber Physical Stream Learning False Data Injection Attack Attack Classification

March 28, 2022

Attacker Attribution of Audio Deepfakes
Nicolas M. Müller, Franziska Dieckmann, Jennifer Williams
Deep Fake Deepfake Audio Audio DeepFakes Attack Attribution Attack Classification

Attack Classification

Papers

SCGNet-Stacked Convolution with Gated Recurrent Unit Network for Cyber Network Intrusion Detection and Intrusion Type Classification

Systematic Evaluation of Synthetic Data Augmentation for Multi-class NetFlow Traffic

Unraveling Adversarial Examples against Speaker Identification -- Techniques for Attack Detection and Victim Model Classification

Critical Analysis of 5G Networks Traffic Intrusion using PCA, t-SNE and UMAP Visualization and Classifying Attacks

A model for multi-attack classification to improve intrusion detection performance using deep learning approaches

Enhancing ML-Based DoS Attack Detection Through Combinatorial Fusion Analysis

A Stream Learning Approach for Real-Time Identification of False Data Injection Attacks in Cyber-Physical Power Systems

Attacker Attribution of Audio Deepfakes