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Explaining the Attributes of a Deep Learning Based Intrusion Detection System for Industrial Control Networks

Sensors (Basel, Switzerland), 2020-07, Vol.20 (14), p.3817

2020

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Vulnerability Mining Method for the Modbus TCP Using an Anti-Sample Fuzzer

Sensors (Basel, Switzerland), 2020-04, Vol.20 (7), p.2040

2020

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DEIDS: a novel intrusion detection system for industrial control systems

Neural computing & applications, 2022-06, Vol.34 (12), p.9793-9811

2022

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Broadcast and Silence Period (BSP): A Pseudonym Change Strategy

IEEE transactions on vehicular technology, 2023-10, Vol.72 (10), p.1-13

2023

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Software Abnormal Behavior Detection Based on Function Semantic Tree

IEICE Transactions on Information and Systems, 2015/10/01, Vol.E98.D(10), pp.1777-1787

2015

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Relational reasoning-based approach for network protocol reverse engineering

Computer networks (Amsterdam, Netherlands : 1999), 2023-07, Vol.230, p.109797, Article 109797

2023

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Selective forwarding attack detection and network recovery mechanism based on cloud-edge cooperation in software-defined wireless sensor network

Computers & security, 2023-03, Vol.126, p.103083, Article 103083

2023

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Authentication methods for internet of vehicles based on trusted connection architecture

Simulation modelling practice and theory, 2023-01, Vol.122, p.102681, Article 102681

2023

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Stealthy attack detection method based on Multi-feature long short-term memory prediction model

Future generation computer systems, 2022-12, Vol.137, p.248-259

2022

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Intrusion Detection System for Industrial Control Systems Based on Imbalanced Data

2023 IEEE 15th International Symposium on Autonomous Decentralized System (ISADS), 2023, p.1-6

2023

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Mining of Potential Relationships based on the Knowledge Graph of Industrial Control Systems

2023 IEEE 15th International Symposium on Autonomous Decentralized System (ISADS), 2023, p.1-6

2023

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Research on Software Trust Analysis Based on Behavior

IEICE Transactions on Information and Systems, 2014/03/01, Vol.E97.D(3), pp.488-496

2014

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EEFED: Personalized Federated Learning of Execution&Evaluation Dual Network for CPS Intrusion Detection

IEEE transactions on information forensics and security, 2023, Vol.18, p.41-56

2023

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A Two-Phase Approach to Fast and Accurate Classification of Encrypted Traffic

IEEE/ACM transactions on networking, 2023-06, Vol.31 (3), p.1071-1086

2023

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MDFD: A multi-source data fusion detection framework for Sybil attack detection in VANETs

Computer networks (Amsterdam, Netherlands : 1999), 2023-04, Vol.224, p.109608, Article 109608

2023

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Study on Authentication Protocol of SDN Trusted Domain

2015 IEEE Twelfth International Symposium on Autonomous Decentralized Systems, 2015, p.281-284

2015

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MIF: A multi-step attack scenario reconstruction and attack chains extraction method based on multi-information fusion

Computer networks (Amsterdam, Netherlands : 1999), 2021-10, Vol.198, p.108340, Article 108340

2021

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A Few-Shot Learning Based Approach to IoT Traffic Classification

IEEE communications letters, 2022-03, Vol.26 (3), p.537-541

2022

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A Security Authentication Protocol for Trusted Domains in an Autonomous Decentralized System

International journal of distributed sensor networks, 2016-01, Vol.2016 (3), p.5327949

2016

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Domain Adversarial Neural Network-Based Intrusion Detection System for In-Vehicle Network Variant Attacks

IEEE communications letters, 2022-11, Vol.26 (11), p.2547-2551

2022

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An adaptive classification and updating method for unknown network traffic in open environments

Computer networks (Amsterdam, Netherlands : 1999), 2024-01, Vol.238, p.110114, Article 110114

2024

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AGCM: A multi-stage attack correlation and scenario reconstruction method based on graph aggregation

Computer communications, 2024-08, Vol.224, p.302-313

2024

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Industrial Anomaly Detection and Attack Classification Method Based on Convolutional Neural Network

Security and communication networks, 2019-09, Vol.2019, p.1-11

2019

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Analysis of Industrial Control Systems Traffic Based on Time Series

2015 IEEE Twelfth International Symposium on Autonomous Decentralized Systems, 2015, p.123-129

2015

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Abnormal Logical Representation Learning for Intrusion Detection in Industrial Control Systems

IEEE transactions on industrial informatics, 2024-08, Vol.20 (8), p.10624-10635

2024

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Explaining the Attributes of a Deep Learning Based Intrusion Detection System for Industrial Control Networks

Vulnerability Mining Method for the Modbus TCP Using an Anti-Sample Fuzzer

DEIDS: a novel intrusion detection system for industrial control systems

Broadcast and Silence Period (BSP): A Pseudonym Change Strategy

Software Abnormal Behavior Detection Based on Function Semantic Tree

Relational reasoning-based approach for network protocol reverse engineering

Selective forwarding attack detection and network recovery mechanism based on cloud-edge cooperation in software-defined wireless sensor network

Authentication methods for internet of vehicles based on trusted connection architecture

Stealthy attack detection method based on Multi-feature long short-term memory prediction model

Intrusion Detection System for Industrial Control Systems Based on Imbalanced Data

Mining of Potential Relationships based on the Knowledge Graph of Industrial Control Systems

Research on Software Trust Analysis Based on Behavior

EEFED: Personalized Federated Learning of Execution&Evaluation Dual Network for CPS Intrusion Detection

A Two-Phase Approach to Fast and Accurate Classification of Encrypted Traffic

MDFD: A multi-source data fusion detection framework for Sybil attack detection in VANETs

Study on Authentication Protocol of SDN Trusted Domain

MIF: A multi-step attack scenario reconstruction and attack chains extraction method based on multi-information fusion

A Few-Shot Learning Based Approach to IoT Traffic Classification

A Security Authentication Protocol for Trusted Domains in an Autonomous Decentralized System

Domain Adversarial Neural Network-Based Intrusion Detection System for In-Vehicle Network Variant Attacks

An adaptive classification and updating method for unknown network traffic in open environments

AGCM: A multi-stage attack correlation and scenario reconstruction method based on graph aggregation

Industrial Anomaly Detection and Attack Classification Method Based on Convolutional Neural Network

Analysis of Industrial Control Systems Traffic Based on Time Series

Abnormal Logical Representation Learning for Intrusion Detection in Industrial Control Systems

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