On the public citation graph

ConGraph: Advanced Persistent Threat Detection Method Based on Provenance Graph Combined with Process Context in Cyber-Physical System Environment

https://doi.org/10.3390/electronics13050945

0 signed · 46 inferred · view as graph

Inferred edges come from two machine sources: sweeps of open repository metadata (mostly SSRN and Zenodo), and a bulk OpenAlex citation snapshot. Every row below is labelled with the one it came from. Neither is a complete citation index — absence here is not evidence of absence.

Is this your work? Sign in with ORCID and put your name on the claims that are yours.

Claim with ORCID

Reference health. See whether every reference in this work resolves to a known work and none has been retracted — and get a dated CiteStamped badge you can embed.

See reference health

What this work says

Outgoing claims: the papers this work cites, builds on, or argues with.

inferredcites →https://doi.org/10.1016/j.cose.2022.102669openalex-snapshot

IoT security certifications: Challenges and potential approaches

inferredcites →https://doi.org/10.1016/j.ijcip.2022.100521openalex-snapshot

APT attacks on industrial control systems: A tale of three incidents

inferredcites →https://doi.org/10.1075/avt.25.05beiopenalex-snapshot

Predicting intelligibility and perceived linguistic distance by means of the Levenshtein algorithm

inferredcites →https://doi.org/10.1109/comst.2019.2891891openalex-snapshot

A Survey on Advanced Persistent Threats: Techniques, Solutions, Challenges, and Research Opportunities

inferredcites →https://doi.org/10.1109/ijcnn52387.2021.9534113openalex-snapshot

LogBERT: Log Anomaly Detection via BERT

inferredcites →https://doi.org/10.1109/jsyst.2013.2257594openalex-snapshot

Intrusion Detection in Cyber-Physical Systems: Techniques and Challenges

inferredcites →https://doi.org/10.1109/msp.2011.67openalex-snapshot

Stuxnet: Dissecting a Cyberwarfare Weapon

inferredcites →https://doi.org/10.1109/sp.2019.00026openalex-snapshot

HOLMES: Real-Time APT Detection through Correlation of Suspicious Information Flows

inferredcites →https://doi.org/10.1109/sp46214.2022.9833669openalex-snapshot

SHADEWATCHER: Recommendation-guided Cyber Threat Analysis using System Audit Records

inferredcites →https://doi.org/10.1109/tdsc.2020.2971484openalex-snapshot

Conan: A Practical Real-Time APT Detection System With High Accuracy and Efficiency

inferredcites →https://doi.org/10.1109/tdsc.2021.3101649openalex-snapshot

Poirot: Causal Correlation Aided Semantic Analysis for Advanced Persistent Threat Detection

inferredcites →https://doi.org/10.1109/tdsc.2022.3143551openalex-snapshot

DeepAG: Attack Graph Construction and Threats Prediction With Bi-Directional Deep Learning

inferredcites →https://doi.org/10.1109/tdsc.2022.3229472openalex-snapshot

APT-KGL: An Intelligent APT Detection System Based on Threat Knowledge and Heterogeneous Provenance Graph Learning

inferredcites →https://doi.org/10.1109/tifs.2022.3208815openalex-snapshot

THREATRACE: Detecting and Tracing Host-Based Threats in Node Level Through Provenance Graph Learning

inferredcites →https://doi.org/10.1109/trustcom56396.2022.00106openalex-snapshot

Deepro: Provenance-based APT Campaigns Detection via GNN

inferredcites →https://doi.org/10.1145/2976749.2978378openalex-snapshot

High Fidelity Data Reduction for Big Data Security Dependency Analyses

inferredcites →https://doi.org/10.1145/3133956.3134015openalex-snapshot

DeepLog

inferredcites →https://doi.org/10.1145/3319535.3363224openalex-snapshot

Log2vec

inferredcites →https://doi.org/10.1145/3320269.3384718openalex-snapshot

Preparing Network Intrusion Detection Deep Learning Models with Minimal Data Using Adversarial Domain Adaptation

inferredcites →https://doi.org/10.1145/3344382openalex-snapshot

A Survey of Intrusion Detection Systems Leveraging Host Data

inferredcites →https://doi.org/10.1145/3570361.3615747openalex-snapshot

COPSEC: Compliance-Oriented IoT Security and Privacy Evaluation Framework

inferredcites →https://doi.org/10.14722/ndss.2018.23254openalex-snapshot

Towards a Timely Causality Analysis for Enterprise Security

inferredcites →https://doi.org/10.14722/ndss.2020.24046openalex-snapshot

Unicorn: Runtime Provenance-Based Detector for Advanced Persistent Threats

inferredcites →https://doi.org/10.3390/app9132763openalex-snapshot

VPNFilter Malware Analysis on Cyber Threat in Smart Home Network

inferredcites →https://doi.org/10.48550/arxiv.1711.11487openalex-snapshot

FRAPpuccino: Fault-detection through Runtime Analysis of Provenance

inferredcites →https://doi.org/10.48550/arxiv.1801.02062openalex-snapshot

SLEUTH: Real-time Attack Scenario Reconstruction from COTS Audit Data

What points at this work

Incoming claims: where this work appears in other papers’ reference lists and arguments.

inferred← citeshttps://doi.org/10.1007/978-3-032-09656-2_4openalex-snapshot

Cyber Security Threats and Challenges in CPS

inferred← citeshttps://doi.org/10.1007/978-981-95-4499-8_23openalex-snapshot

A Lightweight Method for Process Evaluation in Educational Cyber Range Experiments

inferred← citeshttps://doi.org/10.1007/978-981-95-9284-5_18openalex-snapshot

APT Attack Detection with Heterogeneous Provenance Graph and Adversarial Knowledge of Tactics, Techniques, and Procedures

inferred← citeshttps://doi.org/10.1007/978-981-96-3247-3_40openalex-snapshot

Enhancing Enterprise Network Security with Machine Learning: An In-Depth Analysis of Advanced Persistent Threat Detection

inferred← citeshttps://doi.org/10.1007/s11432-025-4776-xopenalex-snapshot

GNNFormer: capturing local interactions and long-term global dependencies for APT detection in provenance graphs

inferred← citeshttps://doi.org/10.1007/s44443-026-00731-5openalex-snapshot

Prov-Trust: Zero-trust dynamic access control technology based on anomaly detection of provenance graph

inferred← citeshttps://doi.org/10.1016/j.comnet.2026.112235openalex-snapshot

DYNAMO: An adaptive spatio-Temporal attention method for provenance graph-based APT detection

inferred← citeshttps://doi.org/10.1016/j.cose.2024.104159openalex-snapshot

Provenance-based APT campaigns detection via masked graph representation learning

inferred← citeshttps://doi.org/10.1016/j.cose.2024.104303openalex-snapshot

A multi-source log semantic analysis-based attack investigation approach

inferred← citeshttps://doi.org/10.1016/j.eswa.2026.134583openalex-snapshot

Behavior-aware explainable relational GNNs for process-centric data exfiltration detection in enterprise networks

inferred← citeshttps://doi.org/10.1016/j.neunet.2025.108216openalex-snapshot

GA-ConvE: An APT attack prediction method based on combination of graph attention network and 2D convolution

inferred← citeshttps://doi.org/10.1109/conecct68978.2026.11700666openalex-snapshot

Efficient Detection of Advanced Persistent Threat (APT) Sources Using Knowledge Graphs

inferred← citeshttps://doi.org/10.1109/cyberscitech64112.2024.00097openalex-snapshot

A Trust Evaluation and Concept Drift-Based Approach for Dynamic APT Evasion Detection

inferred← citeshttps://doi.org/10.1109/itc-egypt61547.2024.10620569openalex-snapshot

Hybridizing Base-Line 2D-CNN Model with Cat Swarm Optimization for Enhanced Advanced Persistent Threat Detection

inferred← citeshttps://doi.org/10.1109/tdsc.2025.3621434openalex-snapshot

SParse: Semantic Tracking and Path Analysis for Attack Investigation in Real-Time

inferred← citeshttps://doi.org/10.1145/3733801.3764201openalex-snapshot

CrossGuard: A Cross-Modal Deep Learning Framework for Semantic-Structural Threat Detection utilizing Provenance Graph

inferred← citeshttps://doi.org/10.1186/s42400-026-00648-6openalex-snapshot

CSCProv: causal-semantic consistent provenance graph compression for attack detection

inferred← citeshttps://doi.org/10.20944/preprints202407.1408.v1openalex-snapshot

A Framework for Developing Strategic Cyber Threat Intelligence from Advanced Persistent Threat Analysis Reports Using Graph-Based Algorithms

inferred← citeshttps://doi.org/10.3390/electronics14091772openalex-snapshot

A High-Accuracy Advanced Persistent Threat Detection Model: Integrating Convolutional Neural Networks with Kepler-Optimized Bidirectional Gated Recurrent Units

inferred← citeshttps://doi.org/10.3390/info17030245openalex-snapshot

APT-LMSPS: An Efficient APT Detection System via Long-Range Meta-Path Progressive Sampling Search

Editorial review for independent work. ICSAC — the Institute for Complexity Science and Advanced Computing — runs a structured editorial panel for researchers publishing outside journals, and publishes on CiteStamp rails. Submission is free and goes through ORCID: icsacinstitute.org/submit.