Diverse analysis of data mining and machine learning algorithms to secure computer network

N Kumar, U Kumar - Wireless Personal Communications, 2022 - Springer
Network attacks are becoming more complex, making it more difficult to detect intrusions.
Various research have been done over the years, employing different categorization …

Attack classification using feature selection techniques: a comparative study

A Thakkar, R Lohiya - Journal of Ambient Intelligence and Humanized …, 2021 - Springer
The goal of securing a network is to protect the information flowing through the network and
to ensure the security of intellectual as well as sensitive data for the underlying application …

A Comparative Analysis of Intrusion Detection Systems: Leveraging Algorithm Classifications and Feature Selection Techniques

V Shakir, A Mohsin - Journal of Applied Science and Technology Trends, 2024 - jastt.org
With the increasing use of the Internet and its coverage of all areas of life and the increasing
amount of sensitive and confidential information on the Internet, the number of malicious …

Artificial intelligence for classification and regression tree based feature selection method for network intrusion detection system in various telecommunication …

N Kumar, U Kumar - Computational Intelligence, 2024 - Wiley Online Library
Now a days, secure data communication over computer network system is a major issue in
which impact of feature reduction plays a vital role to secure network by early detection of …

Overview on intrusion detection systems design exploiting machine learning for networking cybersecurity

P Dini, A Elhanashi, A Begni, S Saponara, Q Zheng… - Applied Sciences, 2023 - mdpi.com
The Intrusion Detection System (IDS) is an effective tool utilized in cybersecurity systems to
detect and identify intrusion attacks. With the increasing volume of data generation, the …

Building an intrusion detection system using supervised machine learning classifiers with feature selection

AS Ahanger, SM Khan, F Masoodi - Inventive Systems and Control …, 2022 - Springer
In today's digital age, security concerns emerge as a major roadblock, as it compromise
privacy of users. With the appearance of latest technologies, there is colossal data available …

Network intrusion classification employing machine learning: A survey

AB Akhi, EJ Kanon, A Kabir, A Banu - 2019 - dspace.uiu.ac.bd
In this modern era computer network security is a vital issue. Network security is developed
by an efficient Intrusion Detection System (IDS). It is used to identify unauthorized access …

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 …

[PDF][PDF] A Network Intrusion Detection System: Enhanced Classification via Clustering Model

AO Balogun, AM Balogun, VE Adeyemo… - … Informatics & Allied …, 2015 - researchgate.net
The aim of developing an IDS is to build a system that oversee the general protection of a
network from attacks both from within and without, and doing so accurately. Optimization of …

Evaluation of classification algorithms for intrusion detection system: A review

AA Salih, AM Abdulazeez - Journal of Soft Computing and …, 2021 - publisher.uthm.edu.my
Intrusion detection is one of the most critical network security problems in the technology
world. Machine learning techniques are being implemented to improve the Intrusion …