Cover Image

Deep Recurrent Hidden Markov Learning Framework for Multi-Stage Advanced Persistent Threat Prediction

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Tijjani, Saleem Ishaq, Ghita, Bogdan, Clarke, Nathan, Craven, Matthew
Format:	Preprint
Published:	2026
Subjects:	Cryptography and Security
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

S-DAPT-2026: A Stage-Aware Synthetic Dataset for Advanced Persistent Threat Detection
by: Tijjani, Saleem Ishaq, et al.
Published: (2026)

A Unified Knowledge Graph to Permit Interoperability of Heterogeneous Digital Evidence
by: Alshumrani, Ali, et al.
Published: (2024)

A Federated Learning Approach for Multi-stage Threat Analysis in Advanced Persistent Threat Campaigns
by: Nelles, Florian, et al.
Published: (2024)

Industry Perception of Security Challenges with Identity Access Management Solutions
by: Singh, Abhishek Pratap, et al.
Published: (2024)

Combating Advanced Persistent Threats: Challenges and Solutions
by: Wang, Yuntao, et al.
Published: (2023)

Chasing the Shadows: TTPs in Action to Attribute Advanced Persistent Threats
by: Rani, Nanda, et al.
Published: (2024)

Advanced Persistent Threats (APT) Attribution Using Deep Reinforcement Learning
by: Basnet, Animesh Singh, et al.
Published: (2024)

LTRDetector: Exploring Long-Term Relationship for Advanced Persistent Threats Detection
by: Liu, Xiaoxiao, et al.
Published: (2024)

PsybORG+: Modeling and Simulation for Detecting Cognitive Biases in Advanced Persistent Threats
by: Huang, Shuo, et al.
Published: (2024)

A Decade-long Landscape of Advanced Persistent Threats: Longitudinal Analysis and Global Trends
by: Yuldoshkhujaev, Shakhzod, et al.
Published: (2025)

APT-CGLP: Advanced Persistent Threat Hunting via Contrastive Graph-Language Pre-Training
by: Qiu, Xuebo, et al.
Published: (2025)

Bridging Threat Models and Detections: Formal Verification via CADP
by: Prelipcean, Dumitru-Bogdan, et al.
Published: (2025)

A Comprehensive Survey of Advanced Persistent Threat Attribution: Taxonomy, Methods, Challenges and Open Research Problems
by: Rani, Nanda, et al.
Published: (2024)

GraphDART: Graph Distillation for Efficient Advanced Persistent Threat Detection
by: Rabooki, Saba Fathi, et al.
Published: (2025)

APT-LLM: Embedding-Based Anomaly Detection of Cyber Advanced Persistent Threats Using Large Language Models
by: Benabderrahmane, Sidahmed, et al.
Published: (2025)

Accurate and Scalable Detection and Investigation of Cyber Persistence Threats
by: Liu, Qi, et al.
Published: (2024)

Evaluating Predictive Models in Cybersecurity: A Comparative Analysis of Machine and Deep Learning Techniques for Threat Detection
by: Hesham, Momen, et al.
Published: (2024)

A Study on the Importance of Features in Detecting Advanced Persistent Threats Using Machine Learning
by: Hallaji, Ehsan, et al.
Published: (2025)

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

An explainable Recursive Feature Elimination to detect Advanced Persistent Threats using Random Forest classifier
by: Mutalib, Noor Hazlina Abdul, et al.
Published: (2025)

Neurosymbolic Learning for Advanced Persistent Threat Detection under Extreme Class Imbalance
by: Fathima, Quhura, et al.
Published: (2026)

Personalised Feedback Framework for Online Education Programmes Using Generative AI
by: Kuzminykh, Ievgeniia, et al.
Published: (2024)

TBDetector:Transformer-Based Detector for Advanced Persistent Threats with Provenance Graph
by: Wang, Nan, et al.
Published: (2023)

The Ephemeral Threat: Assessing the Security of Algorithmic Trading Systems powered by Deep Learning
by: Rizvani, Advije, et al.
Published: (2025)

AURA: A Multi-Agent Intelligence Framework for Knowledge-Enhanced Cyber Threat Attribution
by: Rani, Nanda, et al.
Published: (2025)

Investigation of Advanced Persistent Threats Network-based Tactics, Techniques and Procedures
by: Alageel, Almuthanna, et al.
Published: (2025)

The Hidden Threat in Plain Text: Attacking RAG Data Loaders
by: Castagnaro, Alberto, et al.
Published: (2025)

PTMF: A Privacy Threat Modeling Framework for IoT with Expert-Driven Threat Propagation Analysis
by: Alalade, Emmanuel Dare, et al.
Published: (2025)

Tighter Privacy Auditing of DP-SGD in the Hidden State Threat Model
by: Cebere, Tudor, et al.
Published: (2024)

Attack Pattern Mining to Discover Hidden Threats to Industrial Control Systems
by: Umer, Muhammad Azmi, et al.
Published: (2025)

On the Vulnerability of Deep Automatic Modulation Classifiers to Explainable Backdoor Threats
by: Salmi, Younes, et al.
Published: (2026)

Optimizing Password Cracking for Digital Investigations
by: Hachem, Mohamad, et al.
Published: (2025)

Advanced Data Collection Techniques in Cloud Security: A Multi-Modal Deep Learning Autoencoder Approach
by: Syed, Aamiruddin, et al.
Published: (2025)

UEFI Memory Forensics: A Framework for UEFI Threat Analysis
by: Segal, Kalanit Suzan, et al.
Published: (2025)

FIST: A Structured Threat Modeling Framework for Fraud Incidents
by: Dai, Yu-Chen, et al.
Published: (2025)

Data Siphoning Through Advanced Persistent Transmission Attacks At The Physical Layer
by: Hillel-Tuch, Alon
Published: (2026)

Explainable AI for Enhancing IDS Against Advanced Persistent Kill Chain
by: Shaker, Bassam Noori, et al.
Published: (2025)

TL-RL-FusionNet: An Adaptive and Efficient Reinforcement Learning-Driven Transfer Learning Framework for Detecting Evolving Ransomware Threats
by: Ferdous, Jannatul, et al.
Published: (2026)

Split Happens: Combating Advanced Threats with Split Learning and Function Secret Sharing
by: Khan, Tanveer, et al.
Published: (2025)

TabSec: A Collaborative Framework for Novel Insider Threat Detection
by: Huang, Zilin, et al.
Published: (2024)