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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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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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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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Detection of DDoS attacks using optimized traffic matrix

Computers & mathematics with applications (1987), 2012, Vol.63 (2), p.501-510

2012

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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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Detection DDoS attacks based on neural-network using Apache Spark

2016 International Conference on Applied System Innovation (ICASI), 2016, p.1-4

2016

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Study on the applications of hidden Markov models to computer intrusion detection

Fifth World Congress on Intelligent Control and Automation (IEEE Cat. No.04EX788), 2004, Vol.5, p.4352-4356 Vol.5

2004

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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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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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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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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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FuzMet: a fuzzy-logic based alert prioritization engine for intrusion detection systems

International journal of network management, 2012-07, Vol.22 (4), p.263-284

2012

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Early Detection of LDoS Attack using SNMP MIBs

ITM Web of Conferences, 2021, Vol.37, p.1025

2021

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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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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 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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Annotated Dataset for Anomaly Detection in a Data Center with IoT Sensors

Sensors (Basel, Switzerland), 2020-07, Vol.20 (13), p.3745

2020

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

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

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

Detection of DDoS attacks using optimized traffic matrix

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

Detection DDoS attacks based on neural-network using Apache Spark

Study on the applications of hidden Markov models to computer intrusion detection

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

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

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

User Perceptions of Smart Home IoT Privacy

FuzMet: a fuzzy-logic based alert prioritization engine for intrusion detection systems

Early Detection of LDoS Attack using SNMP MIBs

Systematic Review and Quantitative Comparison of Cyberattack Scenario Detection and Projection

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

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

Annotated Dataset for Anomaly Detection in a Data Center with IoT Sensors

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