[PDF][PDF] Hybrid intrusion detection system for internet of things (IoT)

S Smys, A Basar, H Wang - Journal of ISMAC, 2020 - scholar.archive.org
Internet of things (IoT) is a promising solution to connect and access every device through
internet. Every day the device count increases with large diversity in shape, size, usage and …

Efficient cyber attack detection on the internet of medical things-smart environment based on deep recurrent neural network and machine learning algorithms

YK Saheed, MO Arowolo - IEEE Access, 2021 - ieeexplore.ieee.org
Information and communication technology (ICT) advancements have altered the entire
computing paradigm. As a result of these improvements, numerous new channels of …

Optimization of RBF-SVM kernel using grid search algorithm for DDoS attack detection in SDN-based VANET

GO Anyanwu, CI Nwakanma, JM Lee… - IEEE Internet of Things …, 2022 - ieeexplore.ieee.org
The dynamic nature of the vehicular space exposes it to distributed malicious attacks
irrespective of the integration of enabling technologies. The software-defined network (SDN) …

Impact of feature selection methods on machine learning-based for detecting DDoS attacks: Literature review

MN Faiz, O Somantri, AR Supriyono… - Journal of Informatics …, 2022 - ojs.uma.ac.id
Cybersecurity attacks are becoming increasingly sophisticated and increasing with the
development of technology so that they present threats to both the private and public …

Active learning for network traffic classification: a technical study

A Shahraki, M Abbasi, A Taherkordi… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Network Traffic Classification (NTC) has become an important feature in various network
management operations, eg, Quality of Service (QoS) provisioning and security services …

An effect of chaos grasshopper optimization algorithm for protection of network infrastructure

S Dwivedi, M Vardhan, S Tripathi - Computer Networks, 2020 - Elsevier
Due to the proliferation of sophisticated cyber extortion with exponentially critical effects,
intrusion detection system is being evolved systematically their revealing, understanding …

[HTML][HTML] Multiclass imbalanced and concept drift network traffic classification framework based on online active learning

W Liu, C Zhu, Z Ding, H Zhang, Q Liu - Engineering Applications of Artificial …, 2023 - Elsevier
The complex problems of multiclass imbalance, virtual or real concept drift, concept
evolution, high-speed traffic streams and limited label cost budgets pose severe challenges …

Study of Detection of DDoS attacks in cloud environment Using Regression Analysis

A Nagaraja, U Boregowda, R Vangipuram - International Conference on …, 2021 - dl.acm.org
Distributed Denial of Service (DDoS) attacks in the cloud environment are not as simple as
the same attacks which occur in the traditional physical network environment. Not only one …

Detection of dos attacks in smart city networks with feature distance maps: A statistical approach

S Velliangiri, NGB Amma… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
Smart cities are highly digitalized cities, with a high volume of data stored digitally, as well as
a large number of physical objects and Internet of Things (IoT) devices. It is no surprise that …

Improving the performance of the intrusion detection systems by the machine learning explainability

QV Dang - International Journal of Web Information Systems, 2021 - emerald.com
Purpose This study aims to explain the state-of-the-art machine learning models that are
used in the intrusion detection problem for human-being understandable and study the …