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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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Detection of DDoS Attacks via an Artificial Immune System-Inspired Multiobjective Evolutionary Algorithm

Applications of Evolutionary Computation, p.1-10

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Interleukin-4 Protects Double-Negative and CD4 Single-Positive Thymocytes From Dexamethasone-Induced Apoptosis

Blood, 1993-03, Vol.81 (5), p.1352-1358

1993

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Effect of the acute promyelocytic leukemia PML/RARα protein on differentiation and survival of myleoid precursors

Leukemia, 1994, Vol.8, p.S7-S11

1994

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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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Hexa-arginine enhanced uptake and residualization of selective high affinity ligands by Raji lymphoma cells

Molecular cancer, 2009-04, Vol.8 (1), p.25-25

2009

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Percutaneous Renal Surgery: A Practical Clinical Handbook

Webb, David R

1st ed. 2016, 2016

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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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RELATIVE POTENCY OF AMETHOCAINE AND LIGNOCAINE

British journal of anaesthesia : BJA, 1966-03, Vol.38 (3), p.185-190

1966

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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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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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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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Network Forensics Method Based on Evidence Graph and Vulnerability Reasoning

Future internet, 2016-12, Vol.8 (4), p.54-54

2016

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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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Structural insights into ubiquitin recognition and Ufd1 interaction of Npl4

Nature communications, 2019-12, Vol.10 (1), p.5708-13, Article 5708

2019

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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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Alert Correlation System with Automatic Extraction of Attack Strategies by Using Dynamic Feature Weights

International journal of computer and communication engineering, 2016-01, Vol.5 (1), p.1-10

2016

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Cybersecurity data science: an overview from machine learning perspective

Journal of big data, 2020-07, Vol.7 (1), p.1-29, Article 41

2020

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Anomaly diagnosis based on regression and classification analysis of statistical traffic features

Security and communication networks, 2014-09, Vol.7 (9), p.1372-1383

2014

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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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Intrusion Alert Correlation Framework: An Innovative Approach

IAENG Transactions on Engineering Technologies, 2013, Vol.229, p.405-420

2013

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Systematic Review and Quantitative Comparison of Cyberattack Scenario Detection and Projection

Electronics (Basel), 2020-10, Vol.9 (10), p.1722

2020

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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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Cyber forensics framework for big data analytics in IoT environment using machine learning

Multimedia tools and applications, 2020-06, Vol.79 (23-24), p.15881-15900

2020

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User Perceptions of Smart Home IoT Privacy

Proceedings of the ACM on human-computer interaction, 2018-11, Vol.2 (CSCW), p.1-20

2018

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

Detection of DDoS Attacks via an Artificial Immune System-Inspired Multiobjective Evolutionary Algorithm

Interleukin-4 Protects Double-Negative and CD4 Single-Positive Thymocytes From Dexamethasone-Induced Apoptosis

Effect of the acute promyelocytic leukemia PML/RARα protein on differentiation and survival of myleoid precursors

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

Hexa-arginine enhanced uptake and residualization of selective high affinity ligands by Raji lymphoma cells

Percutaneous Renal Surgery: A Practical Clinical Handbook

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

RELATIVE POTENCY OF AMETHOCAINE AND LIGNOCAINE

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

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

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

Network Forensics Method Based on Evidence Graph and Vulnerability Reasoning

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

Structural insights into ubiquitin recognition and Ufd1 interaction of Npl4

A collaborative approach for national cybersecurity incident management

Alert Correlation System with Automatic Extraction of Attack Strategies by Using Dynamic Feature Weights

Cybersecurity data science: an overview from machine learning perspective

Anomaly diagnosis based on regression and classification analysis of statistical traffic features

Comparing and Analyzing Applications of Intelligent Techniques in Cyberattack Detection

Intrusion Alert Correlation Framework: An Innovative Approach

Systematic Review and Quantitative Comparison of Cyberattack Scenario Detection and Projection

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

Cyber forensics framework for big data analytics in IoT environment using machine learning

User Perceptions of Smart Home IoT Privacy

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