A comprehensive survey on recent metaheuristics for feature selection

T Dokeroglu, A Deniz, HE Kiziloz - Neurocomputing, 2022 - Elsevier
Feature selection has become an indispensable machine learning process for data
preprocessing due to the ever-increasing sizes in actual data. There have been many …

A survey on intrusion detection system: feature selection, model, performance measures, application perspective, challenges, and future research directions

A Thakkar, R Lohiya - Artificial Intelligence Review, 2022 - Springer
With the increase in the usage of the Internet, a large amount of information is exchanged
between different communicating devices. The data should be communicated securely …

[HTML][HTML] Intrusion detection systems for IoT-based smart environments: a survey

MF Elrawy, AI Awad, HFA Hamed - Journal of Cloud Computing, 2018 - Springer
One of the goals of smart environments is to improve the quality of human life in terms of
comfort and efficiency. The Internet of Things (IoT) paradigm has recently evolved into a …

Energy aware cluster and neuro-fuzzy based routing algorithm for wireless sensor networks in IoT

K Thangaramya, K Kulothungan, R Logambigai… - Computer …, 2019 - Elsevier
Abstract Wireless Sensor Networks (WSNs) are used in the design of Internet of Things (IoT)
for sensing the environment, collecting the data and to send them to the base station and the …

Performance analysis of machine learning algorithms in intrusion detection system: A review

T Saranya, S Sridevi, C Deisy, TD Chung… - Procedia Computer …, 2020 - Elsevier
The rapid growth of technologies not only formulates life easier but also exposes a lot of
security issues. With the advancement of the Internet over years, the number of attacks over …

Cyber intrusion detection by combined feature selection algorithm

S Mohammadi, H Mirvaziri… - Journal of information …, 2019 - Elsevier
Due to the widespread diffusion of network connectivity, the demand for network security
and protection against cyber-attacks is ever increasing. Intrusion detection systems (IDS) …

A survey on data-driven network intrusion detection

D Chou, M Jiang - ACM Computing Surveys (CSUR), 2021 - dl.acm.org
Data-driven network intrusion detection (NID) has a tendency towards minority attack
classes compared to normal traffic. Many datasets are collected in simulated environments …

Cloud and IoT based disease prediction and diagnosis system for healthcare using Fuzzy neural classifier

PM Kumar, S Lokesh, R Varatharajan, GC Babu… - Future Generation …, 2018 - Elsevier
Recently, the mobile health care (m-healthcare) applications with Internet of Things (IoT) are
providing the various dimensionalities and the online services. These applications have …

A Comprehensive Survey on Machine Learning‐Based Intrusion Detection Systems for Secure Communication in Internet of Things

SVN Santhosh Kumar, M Selvi… - Computational …, 2023 - Wiley Online Library
The Internet of Things (IoT) is a distributed system which is made up of the connections of
smart objects (things) that can continuously sense the events in their sensing domain and …

Smart detection: an online approach for DoS/DDoS attack detection using machine learning

FS Lima Filho, FAF Silveira… - Security and …, 2019 - Wiley Online Library
Users and Internet service providers (ISPs) are constantly affected by denial‐of‐service
(DoS) attacks. This cyber threat continues to grow even with the development of new …