A comparative simulation of normalization methods for machine learning-based intrusion detection systems using KDD Cup'99 dataset
S Kumar, S Gupta, S Arora - Journal of Intelligent & Fuzzy …, 2022 - content.iospress.com
Network Intrusion detection systems (NIDS) detect malicious and intrusive information in
computer networks. Presently, commercial NIDS is based on machine learning approaches …
computer networks. Presently, commercial NIDS is based on machine learning approaches …
Machine learning‐based crystal structure prediction for high‐entropy oxide ceramics
J Liu, A Wang, P Gao, R Bai, J Liu… - Journal of the …, 2024 - Wiley Online Library
Predicting the crystal structure is essential to address the reliance on serendipity for
facilitating the discovery and design of high‐performance high‐entropy oxides (HEOs) …
facilitating the discovery and design of high‐performance high‐entropy oxides (HEOs) …
[PDF][PDF] Exploiting incremental classifiers for the training of an adaptive intrusion detection model.
MR Mohamed, AA Nasr, IF Tarrad… - Int. J. Netw …, 2019 - academia.edu
Due to the fact that network data is dynamic in nature, the demand for adaptive Intrusion
Detection System (IDS) has increased for smart analysis of network data stream. An …
Detection System (IDS) has increased for smart analysis of network data stream. An …
The impact of different feature scaling methods on intrusion detection for in-vehicle controller area network (CAN)
Numerous security researchers have a growing interest in the vulnerabilities of the in-
vehicle Controller Area Network (CAN) bus system to cyber-attacks. The adversaries can …
vehicle Controller Area Network (CAN) bus system to cyber-attacks. The adversaries can …
Semantic Enrichment of a BIM Model Using Revit: Automatic Annotation of Doors in High-Rise Residential Building Models Using Machine Learning
This study explores the potential of automated fire safety conformity checks using a BIM tool.
The focus is on travel distance regulations, one of the major concerns in building design …
The focus is on travel distance regulations, one of the major concerns in building design …
Evaluation of the effect of preprocessing data on network traffic classifier based on ml methods for qos predication in real-time
VA Mankov, VY Deart, IA Krasnova - … in Artificial Systems for Medicine and …, 2021 - Springer
The paper proposes a traffic classification model based on Machine Learning methods for
definition of QoS, which contains a new element-data preprocessing block. In earlier works …
definition of QoS, which contains a new element-data preprocessing block. In earlier works …
A proposed model for dimensionality reduction to improve the classification capability of intrusion protection systems
H Elkassabi - International Journal of Network Security & Its …, 2020 - papers.ssrn.com
Over the past few years, intrusion protection systems have drawn a mature research area in
the field of computer networks. The problem of excessive features has a significant impact …
the field of computer networks. The problem of excessive features has a significant impact …
[PDF][PDF] Predictive Modelling Approach to Data-Driven Computational Preventive Medicine
M Aldraimli - 2023 - core.ac.uk
Introduction achine Learning (ML), a subtopic of Artificial Intelligence (AI), provides trend
discovery, similarities recognition and anomaly detection techniques used in multiple …
discovery, similarities recognition and anomaly detection techniques used in multiple …