Intrusion detection techniques in network environment: a systematic review
The entire world relates to some network capabilities in some way or the other. The data
transmission on the network is getting more straightforward and quicker. An intrusion …
transmission on the network is getting more straightforward and quicker. An intrusion …
[HTML][HTML] Anomaly network-based intrusion detection system using a reliable hybrid artificial bee colony and AdaBoost algorithms
Intrusion detection systems (IDSs) has been considered as the main component of a safe
network. One of the problems of these security systems is false alarm report of intrusion to …
network. One of the problems of these security systems is false alarm report of intrusion to …
A hybrid approach of differential evolution and artificial bee colony for feature selection
E Zorarpacı, SA Özel - Expert Systems with Applications, 2016 - Elsevier
Abstract “Dimensionality” is one of the major problems which affect the quality of learning
process in most of the machine learning and data mining tasks. Having high dimensional …
process in most of the machine learning and data mining tasks. Having high dimensional …
A novel hybrid whale optimization algorithm with flower pollination algorithm for feature selection: Case study Email spam detection
H Mohammadzadeh… - Computational …, 2021 - Wiley Online Library
Feature selection (FS) in data mining is one of the most challenging and most important
activities in pattern recognition. In this article, a new hybrid model of whale optimization …
activities in pattern recognition. In this article, a new hybrid model of whale optimization …
Combining best features selection using three classifiers in intrusion detection system
AA Salih, MB Abdulrazaq - 2019 International Conference on …, 2019 - ieeexplore.ieee.org
Nowadays, with the development of internet technologies service in the world, the intruders
has been increased rapidly. Therefore, the advent of Intrusion Detection System (IDS) in the …
has been increased rapidly. Therefore, the advent of Intrusion Detection System (IDS) in the …
Prediction of Indian government stakeholder oil stock prices using hyper parameterized LSTM models
AK Singh, J Patra, M Chakraborty… - … on Intelligent Controller …, 2022 - ieeexplore.ieee.org
An investment is capturing money to profit from it. Investing has become a buzzword among
middle-class households. People can invest their money in a variety of ways. Land, gold …
middle-class households. People can invest their money in a variety of ways. Land, gold …
[PDF][PDF] An efficient hybrid classifier model for anomaly intrusion detection system
Ensuring security has always been a challenging problem for both customized network
solutions and information systems. Intrusion Detection System (IDS) is playing a very …
solutions and information systems. Intrusion Detection System (IDS) is playing a very …
Effect of feature selection on performance of internet traffic classification on NIMS multi-class dataset
The challenges faced by networks nowadays can be solved to a great extent by the
application of accurate network traffic classification. Internet network traffic classification is …
application of accurate network traffic classification. Internet network traffic classification is …
[PDF][PDF] An improved Bees algorithm local search mechanism for numerical dataset
AGM Al-Dawoodi - Universiti Utara Malaysia, 2015 - etd.uum.edu.my
Bees Algorithm (BA), a heuristic optimization procedure, represents one of the fundamental
search techniques is based on the food foraging activities of bees. This algorithm performs a …
search techniques is based on the food foraging activities of bees. This algorithm performs a …
Machine Learning Approaches in Detecting Network Attacks
Developing technology brings many risk in terms of data security. In this regard, it is an
important issue to detect attacks for network security. Intrusion detection systems developed …
important issue to detect attacks for network security. Intrusion detection systems developed …