Attack Attribution

Attack attribution aims to identify the perpetrators of malicious activities, whether in cybersecurity, audio deepfakes, or power systems. Current research focuses on developing machine learning models, including graph neural networks, recurrent neural networks, and decision trees, to analyze diverse data sources like text, network traffic, audio signals, and power grid measurements, extracting features to distinguish attackers. Successful attribution is crucial for effective countermeasures, legal action, and improved security protocols across various domains, enhancing both defensive capabilities and forensic analysis.

Papers

September 17, 2024

An Explainable Probabilistic Attribute Embedding Approach for Spoofed Speech Characterization
Manasi Chhibber, Jagabandhu Mishra, Hyejin Shim, Tomi H. Kinnunen
Constructive Approach Spoofed Speech Speaker Modeling Speaking Style Attack Attribution

August 9, 2024

AttackER: Towards Enhancing Cyber-Attack Attribution with a Named Entity Recognition Dataset
Pritam Deka, Sampath Rajapaksha, Ruby Rani, Amirah Almutairi, Erisa Karafili
Entity Recognition Named Entity Recognition Pseudo Victim AttackER Attack Attribution Threat Attribution

February 20, 2024

APT-MMF: An advanced persistent threat actor attribution method based on multimodal and multilevel feature fusion
Nan Xiao, Bo Lang, Ting Wang, Yikai Chen
Multimodal Phenomenon Feature Fusion Threat Intelligence Attribution Analysis Attack Attribution

January 27, 2024

Localization of Dummy Data Injection Attacks in Power Systems Considering Incomplete Topological Information: A Spatio-Temporal Graph Wavelet Convolutional Neural Network Approach
Zhaoyang Qu, Yunchang Dong, Yang Li, Siqi Song, Tao Jiang, Min Li, Qiming Wang, Lei Wang, Xiaoyong Bo, Jiye Zang, Qi Xu
Localization Focus Power Grid Topology Control Attack Attribution Data Injection Attack

August 23, 2023

SEA: Shareable and Explainable Attribution for Query-based Black-box Attacks
Yue Gao, Ilia Shumailov, Kassem Fawaz
Adversarial Example New Attack Black Box Attack Upper Ocean Attribution Based Attack Attribution

July 17, 2023

A Machine Learning based Empirical Evaluation of Cyber Threat Actors High Level Attack Patterns over Low level Attack Patterns in Attributing Attacks
Umara Noor, Sawera Shahid, Rimsha Kanwal, Zahid Rashid
Machine Learning New Attack Intrusion Detection System Cyber Attack Empirical Evaluation Attack Pattern Attack Attribution Threat Attribution

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 Attribution

Papers

An Explainable Probabilistic Attribute Embedding Approach for Spoofed Speech Characterization

AttackER: Towards Enhancing Cyber-Attack Attribution with a Named Entity Recognition Dataset

APT-MMF: An advanced persistent threat actor attribution method based on multimodal and multilevel feature fusion

Localization of Dummy Data Injection Attacks in Power Systems Considering Incomplete Topological Information: A Spatio-Temporal Graph Wavelet Convolutional Neural Network Approach

SEA: Shareable and Explainable Attribution for Query-based Black-box Attacks

A Machine Learning based Empirical Evaluation of Cyber Threat Actors High Level Attack Patterns over Low level Attack Patterns in Attributing Attacks

Attacker Attribution of Audio Deepfakes