M2KMIX: Identifying the Type of High Rate Flooding Attacks Using a Mixture of Expert Systems

International Journal of Computer Network and Information Security
doi 10.5815/ijcnis.2012.01.01
Full Text
Abstract

Available in full text

Date
Authors
Publisher

MECS Publisher

Related search

Detecting Flooding Attacks in Communication Protocol of Industrial Control Systems

International Journal of Advanced Computer Science and Applications
Computer Science
2020English

Using Expert Systems in Evaluation of High Voltage Insulating Systems

IFIP Advances in Information and Communication Technology
Computer NetworksInformation SystemsManagementCommunications
1998English

Problems of SIP Flooding Attacks Anomaly Detection Algorithms

The International Conference on Electrical Engineering
2010English

Accurately Identifying New QoS Violation Driven by High-Distributed Low-Rate Denial of Service Attacks Based on Multiple Observed Features

Journal of Sensors
ControlSystems EngineeringInstrumentationElectricalElectronic Engineering
2015English

SIP Flooding Attacks Detection and Prevention Using Shannon, Renyi and Tsallis Entropy

International Journal of Hybrid Information Technology
Computer Science
2014English

Accuracy or Delay? A Game in Detecting Interest Flooding Attacks

Internet Technology Letters
2018English

Efficient Asset Management Practices for Power Systems Using Expert Systems

2019English

Increased Accuracy of Starch Granule Type Quantification Using Mixture Distributions

Plant Methods
BiotechnologyPlant ScienceGenetics
2017English

A Novel Intelligent Approach for Detecting DoS Flooding Attacks in Software-Defined Networks

International Journal of Advances in Intelligent Informatics
Computer VisionPattern RecognitionHuman-Computer InteractionArtificial Intelligence
2018English

Amanote Research

Note-taking for researchers

Follow Amanote

© 2024 Amaplex Software S.P.R.L. All rights reserved.

Privacy PolicyRefund Policy