Cover Image

Log2Sig: Frequency-Aware Insider Threat Detection via Multivariate Behavioral Signal Decomposition

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Kong, Kaichuan, Liu, Dongjie, Jin, Xiaobo, Li, Zhiying, Geng, Guanggang
Format:	Preprint
Published:	2025
Subjects:	Cryptography and Security Artificial Intelligence
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

DMFI: A Dual-Modality Log Analysis Framework for Insider Threat Detection with LoRA-Tuned Language Models
by: Kong, Kaichuan, et al.
Published: (2025)

MambaITD: An Efficient Cross-Modal Mamba Network for Insider Threat Detection
by: Kong, Kaichuan, et al.
Published: (2025)

Wavelet-Aware Anomaly Detection in Multi-Channel User Logs via Deviation Modulation and Resolution-Adaptive Attention
by: Kong, Kaichuan, et al.
Published: (2026)

MV-Gate: Insider Threat Detection via Multi-View Behavioral Statistics and Semantic Modeling
by: Kong, Kaichuan, et al.
Published: (2026)

Audit-LLM: Multi-Agent Collaboration for Log-based Insider Threat Detection
by: Song, Chengyu, et al.
Published: (2024)

Integrating Multi-Agent Simulation, Behavioral Forensics, and Trust-Aware Machine Learning for Adaptive Insider Threat Detection
by: Kausar, Firdous, et al.
Published: (2026)

Insider Threat Detection Using GCN and Bi-LSTM with Explicit and Implicit Graph Representations
by: Yumlembam, Rahul, et al.
Published: (2025)

LAN: Learning Adaptive Neighbors for Real-Time Insider Threat Detection
by: Cai, Xiangrui, et al.
Published: (2024)

Semantic-Aware Advanced Persistent Threat Detection Using Autoencoders on LLM-Encoded System Logs
by: Mohammed, Waleed Khan, et al.
Published: (2026)

Forging the Unforgeable: On the Feasibility of Counterfeit Watermarks in Backdoor-Based Dataset Ownership Verification
by: Li, Zhiying, et al.
Published: (2024)

Evaluating Language Models For Threat Detection in IoT Security Logs
by: Tejero-Fernández, Jorge J., et al.
Published: (2025)

RMSL: Weakly-Supervised Insider Threat Detection with Robust Multi-sphere Learning
by: Wang, Yang, et al.
Published: (2025)

Agentic Misalignment: How LLMs Could Be Insider Threats
by: Lynch, Aengus, et al.
Published: (2025)

FedAT: Federated Adversarial Training for Distributed Insider Threat Detection
by: Gayathri, R G, et al.
Published: (2024)

Signal Decomposition Reveals Structure in Insider Threat Detection under Sparse Temporal Data
by: Beadles, Hayden, et al.
Published: (2026)

Chimera: Harnessing Multi-Agent LLMs for Automatic Insider Threat Simulation
by: Yu, Jiongchi, et al.
Published: (2025)

Graph Neural Network Based Adaptive Threat Detection for Cloud Identity and Access Management Logs
by: Madireddy, Venkata Tanuja
Published: (2025)

LogSHIELD: A Graph-based Real-time Anomaly Detection Framework using Frequency Analysis
by: Roy, Krishna Chandra, et al.
Published: (2024)

Invisible Threats from Model Context Protocol: Generating Stealthy Injection Payload via Tree-based Adaptive Search
by: Shen, Yulin, et al.
Published: (2026)

Security Logs to ATT&CK Insights: Leveraging LLMs for High-Level Threat Understanding and Cognitive Trait Inference
by: Hans, Soham, et al.
Published: (2025)

Lateral Movement Detection via Time-aware Subgraph Classification on Authentication Logs
by: Zhou, Jiajun, et al.
Published: (2024)

Federated Graph AGI for Cross-Border Insider Threat Intelligence in Government Financial Schemes
by: Nayak, Srikumar, et al.
Published: (2026)

Enabling Trustworthy Federated Learning via Remote Attestation for Mitigating Byzantine Threats
by: Zhang, Chaoyu, et al.
Published: (2025)

Real-Time Detection of Insider Threats Using Behavioral Analytics and Deep Evidential Clustering
by: Ali, Anas, et al.
Published: (2025)

CyberSentinel: An Emergent Threat Detection System for AI Security
by: Tallam, Krti
Published: (2025)

Proactively Detecting Threats: A Novel Approach Using LLMs
by: Chawla, Aniesh, et al.
Published: (2026)

OMNISEC: LLM-Driven Provenance-based Intrusion Detection via Retrieval-Augmented Behavior Prompting
by: Cheng, Wenrui, et al.
Published: (2025)

From Threat to Tool: Leveraging Refusal-Aware Injection Attacks for Safety Alignment
by: Chae, Kyubyung, et al.
Published: (2025)

ThreatModeling-LLM: Automating Threat Modeling using Large Language Models for Banking System
by: Wu, Tingmin, et al.
Published: (2024)

UEChecker: Detecting Unchecked External Call Vulnerabilities in DApps via Graph Analysis
by: Kong, Dechao, et al.
Published: (2025)

RAG-targeted Adversarial Attack on LLM-based Threat Detection and Mitigation Framework
by: Ikbarieh, Seif, et al.
Published: (2025)

Adversarial Defense in Cybersecurity: A Systematic Review of GANs for Threat Detection and Mitigation
by: Ndayipfukamiye, Tharcisse, et al.
Published: (2025)

PriMod4AI: Lifecycle-Aware Privacy Threat Modeling for AI Systems using LLM
by: Savaliya, Gautam, et al.
Published: (2026)

Benchmarking LLM-Assisted Blue Teaming via Standardized Threat Hunting
by: Meng, Yuqiao, et al.
Published: (2025)

Attention-GAN for Anomaly Detection: A Cutting-Edge Approach to Cybersecurity Threat Management
by: Sen, Mohammed Abo
Published: (2024)

RPM-Net Reciprocal Point MLP Network for Unknown Network Security Threat Detection
by: Zhang, Jiachen, et al.
Published: (2026)

Mobile GUI Agents under Real-world Threats: Are We There Yet?
by: Liu, Guohong, et al.
Published: (2025)

ThreatGPT: An Agentic AI Framework for Enhancing Public Safety through Threat Modeling
by: Zisad, Sharif Noor, et al.
Published: (2025)

ThreatFormer-IDS: Robust Transformer Intrusion Detection with Zero-Day Generalization and Explainable Attribution
by: Nayak, Srikumar
Published: (2026)

SentinelNet: Safeguarding Multi-Agent Collaboration Through Credit-Based Dynamic Threat Detection
by: Feng, Yang, et al.
Published: (2025)