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A new method of dynamic network security analysis based on dynamic uncertain causality graph

Journal of cloud computing : advances, systems and applications, 2024-12, Vol.13 (1), p.24-17, Article 24

2024

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Off-policy actor-critic deep reinforcement learning methods for alert prioritization in intrusion detection systems

Computers & security, 2024-07, Vol.142, Article 103854

2024

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A Hierarchical Security Event Correlation Model for Real-Time Threat Detection and Response

Network (Basel), 2024-03, Vol.4 (1), p.68-90

2024

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Exploration of a network security situational awareness model based on multisource data fusion

Neural computing & applications, 2023-12, Vol.35 (36), p.25083-25095

2023

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An effective attack scenario construction model based on identification of attack steps and stages

International journal of information security, 2023-10, Vol.22 (5), p.1481-1496

2023

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A risk assessment model for similar attack scenarios in industrial control system

The Journal of supercomputing, 2023-09, Vol.79 (14), p.15955-15979

2023

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High virulence Proteus mirabilis strains cause acceleration of decay of fresh-cut fruits

Food science & technology, 2023-06, Vol.182, p.114820, Article 114820

2023

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Cyber Attacks in Cyber-Physical Microgrid Systems: A Comprehensive Review

Energies (Basel), 2023-06, Vol.16 (12), p.4573

2023

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A Low Phase Noise Crystal Oscillator with a Fast Start-Up Bandgap Reference for WLAN Applications

Applied sciences, 2023-05, Vol.13 (9), p.5652

2023

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Effective and Efficient DDoS Attack Detection Using Deep Learning Algorithm, Multi-Layer Perceptron

Future internet, 2023-02, Vol.15 (2), p.76

2023

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Deep Analysis of Risks and Recent Trends Towards Network Intrusion Detection System

International journal of advanced computer science & applications, 2023, Vol.14 (1)

2023

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ARTP: Anomaly based real time prevention of Distributed Denial of Service attacks on the web using machine learning approach

International journal of intelligent networks, 2023, Vol.4, p.38-45

2023

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Multi-Step Attack Detection Based on Pre-Trained Hidden Markov Models

Sensors (Basel, Switzerland), 2022-04, Vol.22 (8), p.2874

2022

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A constraint partially observable semi-Markov decision process for the attack-defence relationships in various critical infrastructures

Cyber-physical systems, 2022-04, Vol.8 (2), p.85-110

2022

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Comparative Study of Different Values of Inertia for Islanded Systems with Energy Storage Systems

Journal of control, automation & electrical systems, 2022-02, Vol.33 (1), p.241-254

2022

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Optimal Security Protection Selection Strategy Based on Markov Model Attack Graph

Journal of physics. Conference series, 2021-12, Vol.2132 (1), p.12020

2021

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Electrofacies as a Tool for the Prediction of True Resistivity Using Advanced Statistical Methods—Case Study

Energies (Basel), 2021-10, Vol.14 (19), p.6228

2021

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Multilevel Intrusion Alert Post-processing for the Elimination of False Positives

International Journal for Research in Applied Science and Engineering Technology, 2021-08, Vol.9 (8), p.2458-2468

AM, Riyad

2021

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A collaborative approach for national cybersecurity incident management

Information and computer security, 2021-08, Vol.29 (3), p.457-484

2021

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Comparing and Analyzing Applications of Intelligent Techniques in Cyberattack Detection

Security and communication networks, 2021-06, Vol.2021, p.1-23

2021

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A Comparative Study of Machine Learning Techniques in Prediction of Exhaust Emissions and Performance of a Diesel Engine Fuelled with Biodiesel Blends

Nature environment and pollution technology, 2021-06, Vol.20 (2), p.865-874

2021

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Predicting the potential distribution of aquatic herbaceous plants in oligotrophic Central Amazonian wetland ecosystems

Acta botânica brasilica, 2021-03, Vol.35 (1), p.22-36

2021

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Towards fuzzy anomaly detection-based security: a comprehensive review

Fuzzy optimization and decision making, 2021-03, Vol.20 (1), p.1-49

2021

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29.6 A Distributed Digital LDO with Time-Multiplexing Calibration Loop Achieving 40A/mm2 Current Density and 1mA-to-6.4A Ultra-Wide Load Range in 5nm FinFET CMOS

2021 IEEE International Solid- State Circuits Conference (ISSCC), 2021, Vol.64, p.414-416

2021

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Bidirectional RNN-Based Few-Shot Training for Detecting Multi-stage Attack

Information Security and Cryptology, p.37-52

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A new method of dynamic network security analysis based on dynamic uncertain causality graph

Off-policy actor-critic deep reinforcement learning methods for alert prioritization in intrusion detection systems

A Hierarchical Security Event Correlation Model for Real-Time Threat Detection and Response

Exploration of a network security situational awareness model based on multisource data fusion

An effective attack scenario construction model based on identification of attack steps and stages

A risk assessment model for similar attack scenarios in industrial control system

High virulence Proteus mirabilis strains cause acceleration of decay of fresh-cut fruits

Cyber Attacks in Cyber-Physical Microgrid Systems: A Comprehensive Review

A Low Phase Noise Crystal Oscillator with a Fast Start-Up Bandgap Reference for WLAN Applications

Effective and Efficient DDoS Attack Detection Using Deep Learning Algorithm, Multi-Layer Perceptron

Deep Analysis of Risks and Recent Trends Towards Network Intrusion Detection System

ARTP: Anomaly based real time prevention of Distributed Denial of Service attacks on the web using machine learning approach

Multi-Step Attack Detection Based on Pre-Trained Hidden Markov Models

A constraint partially observable semi-Markov decision process for the attack-defence relationships in various critical infrastructures

Comparative Study of Different Values of Inertia for Islanded Systems with Energy Storage Systems

Optimal Security Protection Selection Strategy Based on Markov Model Attack Graph

Electrofacies as a Tool for the Prediction of True Resistivity Using Advanced Statistical Methods—Case Study

Multilevel Intrusion Alert Post-processing for the Elimination of False Positives

A collaborative approach for national cybersecurity incident management

Comparing and Analyzing Applications of Intelligent Techniques in Cyberattack Detection

A Comparative Study of Machine Learning Techniques in Prediction of Exhaust Emissions and Performance of a Diesel Engine Fuelled with Biodiesel Blends

Predicting the potential distribution of aquatic herbaceous plants in oligotrophic Central Amazonian wetland ecosystems

Towards fuzzy anomaly detection-based security: a comprehensive review

29.6 A Distributed Digital LDO with Time-Multiplexing Calibration Loop Achieving 40A/mm2 Current Density and 1mA-to-6.4A Ultra-Wide Load Range in 5nm FinFET CMOS

Bidirectional RNN-Based Few-Shot Training for Detecting Multi-stage Attack

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