research
∙
02/21/2022
An accurate IoT Intrusion Detection Framework using Apache Spark
The internet has caused tremendous changes since its appearance in the 1...
share
research
∙
06/22/2021
Diabetic Retinopathy Detection using Ensemble Machine Learning
Diabetic Retinopathy (DR) is among the worlds leading vision loss causes...
research
∙
06/22/2021
Anomaly-based Intrusion Detection System Using Fuzzy Logic
Recently, the Distributed Denial of Service (DDOS) attacks has been used...
research
∙
10/02/2020
A State-of-the-Art Review on IoT botnet Attack Detection
The Internet as we know it Today, comprises several fundamental interrel...
research
∙
01/19/2020
Intelligent Methods for Accurately Detecting Phishing Websites
With increasing technology developments, there is a massive number of we...
research
∙
07/18/2019
Collecting MIB Data from Network Managed by SNMP using Multi Mobile Agents
Network anomalies are destructive to networks. Intrusion detection syste...
research
∙
05/14/2019
Detecting network anomalies using machine learning and SNMP-MIB dataset with IP group
SNMP-MIB is a widely used approach that uses machine learning to classif...
research
∙
05/14/2019
Network Attacks Anomaly Detection Using SNMP MIB Interface Parameters
Many approaches have evolved to enhance network attacks detection anomal...
research
∙
11/21/2018
Fuzzy Rule Interpolation and SNMP-MIB for Emerging Network Abnormality
It is difficult to implement an efficient detection approach for Intrusi...
research
∙
09/26/2018
Classification of malware based on file content and characteristics
In general, the industry of malware has come to be a market which brings...
research
∙
01/08/2018
Evaluation of Machine Learning Algorithms for Intrusion Detection System
Intrusion detection system (IDS) is one of the implemented solutions aga...
research
∙
01/05/2018
A Novel Hybrid Method for Network Anomaly Detection Based on Traffic Prediction and Change Point Detection
In recent years, computer networks have become more and more advanced in...
research
∙
12/27/2017
An empirical evaluation for the intrusion detection features based on machine learning and feature selection methods
Despite the great developments in information technology, particularly t...
research
∙
02/26/2016
