Cover Image

Truth in Text: A Meta-Analysis of ML-Based Cyber Information Influence Detection Approaches

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Pittman, Jason M.
Format:	Preprint
Published:	2025
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

An RL-Based Adaptive Detection Strategy to Secure Cyber-Physical Systems
by: Koley, Ipsita, et al.
Published: (2021)

Enhancing Trustworthiness in ML-Based Network Intrusion Detection with Uncertainty Quantification
by: Talpini, Jacopo, et al.
Published: (2023)

ROSpace: Intrusion Detection Dataset for a ROS2-Based Cyber-Physical System
by: Puccetti, Tommaso, et al.
Published: (2024)

CSTS: A Canonical Security Telemetry Substrate for AI-Native Cyber Detection
by: Rahman, Abdul
Published: (2026)

Performance of Machine Learning Classifiers for Anomaly Detection in Cyber Security Applications
by: Haug, Markus, et al.
Published: (2025)

A Data-Driven Predictive Analysis on Cyber Security Threats with Key Risk Factors
by: Johora, Fatama Tuz, et al.
Published: (2024)

Adaptive Anomaly Detection for Identifying Attacks in Cyber-Physical Systems: A Systematic Literature Review
by: Moriano, Pablo, et al.
Published: (2024)

CyberGFM: Graph Foundation Models for Lateral Movement Detection in Enterprise Networks
by: King, Isaiah J., et al.
Published: (2026)

Using Graph Theory for Improving Machine Learning-based Detection of Cyber Attacks
by: Zonneveld, Giacomo, et al.
Published: (2024)

CyberNFTs: Conceptualizing a decentralized and reward-driven intrusion detection system with ML
by: Selimi, Synim, et al.
Published: (2024)

Interpreting Agent Behaviors in Reinforcement-Learning-Based Cyber-Battle Simulation Platforms
by: Claypoole, Jared, et al.
Published: (2025)

Visually Analyze SHAP Plots to Diagnose Misclassifications in ML-based Intrusion Detection
by: Mia, Maraz, et al.
Published: (2024)

Hybrid Ensemble Method for Detecting Cyber-Attacks in Water Distribution Systems Using the BATADAL Dataset
by: Ahmed, Waqas
Published: (2025)

Causal Graph Profiling via Structural Divergence for Robust Anomaly Detection in Cyber-Physical Systems
by: Malarkkan, Arun Vignesh, et al.
Published: (2025)

Global Context Enhanced Anomaly Detection of Cyber Attacks via Decoupled Graph Neural Networks
by: Hafez, Ahmad
Published: (2024)

A Comparative Analysis of Ensemble-Based Machine Learning Approaches with Explainable AI for Multi-Class Intrusion Detection in Drone Networks
by: Hossain, Md. Alamgir, et al.
Published: (2025)

An Investigation into the Performances of the State-of-the-art Machine Learning Approaches for Various Cyber-attack Detection: A Survey
by: Ige, Tosin, et al.
Published: (2024)

Unveiling the Black Box: A Multi-Layer Framework for Explaining Reinforcement Learning-Based Cyber Agents
by: Goel, Diksha, et al.
Published: (2025)

Enhancing IoT Security: A Novel Feature Engineering Approach for ML-Based Intrusion Detection Systems
by: Mahanipour, Afsaneh, et al.
Published: (2024)

Vendor-Conditioned Contrastive Learning for Predicting Organizational Cyber Threat Targets
by: Ampel, Benjamin M.
Published: (2020)

A No-Defense Defense Against Gradient-Based Adversarial Attacks on ML-NIDS: Is Less More?
by: elShehaby, Mohamed, et al.
Published: (2026)

Empirical Evaluation of Concept Drift in ML-Based Android Malware Detection
by: Sabbah, Ahmed, 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)

Toward a Multi-Layer ML-Based Security Framework for Industrial IoT
by: Bouferroum, Aymen, et al.
Published: (2026)

Smart Surveillance: Identifying IoT Device Behaviours using ML-Powered Traffic Analysis
by: Ryan, Reza, et al.
Published: (2025)

SpinML: Customized Synthetic Data Generation for Private Training of Specialized ML Models
by: Zhang, Jiang, et al.
Published: (2025)

Detection and Imputation based Two-Stage Denoising Diffusion Power System Measurement Recovery under Cyber-Physical Uncertainties
by: Pei, Jianhua, et al.
Published: (2023)

MGTBench: Benchmarking Machine-Generated Text Detection
by: He, Xinlei, et al.
Published: (2023)

Level Up with ML Vulnerability Identification: Leveraging Domain Constraints in Feature Space for Robust Android Malware Detection
by: Bostani, Hamid, et al.
Published: (2022)

Evaluating Generalization Mechanisms in Autonomous Cyber Attack Agents
by: Lukáš, Ondřej, et al.
Published: (2026)

Entity-based Reinforcement Learning for Autonomous Cyber Defence
by: Thompson, Isaac Symes, et al.
Published: (2024)

FedML-HE: An Efficient Homomorphic-Encryption-Based Privacy-Preserving Federated Learning System
by: Jin, Weizhao, et al.
Published: (2023)

An In-Depth Analysis of Cyber Attacks in Secured Platforms
by: Ozoh, Parick, et al.
Published: (2025)

ML Study of MaliciousTransactions in Ethereum
by: Katz, Natan
Published: (2024)

Out-of-Distribution Detection for Neurosymbolic Autonomous Cyber Agents
by: Samaddar, Ankita, et al.
Published: (2024)

Catastrophic Cyber Capabilities Benchmark (3CB): Robustly Evaluating LLM Agent Cyber Offense Capabilities
by: Anurin, Andrey, et al.
Published: (2024)

FreqFed: A Frequency Analysis-Based Approach for Mitigating Poisoning Attacks in Federated Learning
by: Fereidooni, Hossein, et al.
Published: (2023)

Layer of Truth: Probing Belief Shifts under Continual Pre-Training Poisoning
by: Churina, Svetlana, et al.
Published: (2025)

A General Framework for Data-Use Auditing of ML Models
by: Huang, Zonghao, et al.
Published: (2024)

Machine Learning for Cyber-Attack Identification from Traffic Flows
by: Zhou, Yujing, et al.
Published: (2025)