Survey of learning methods in intrusion detection systems

AA Aburomman, MBI Reaz - 2016 international conference on …, 2016 - ieeexplore.ieee.org
Intrusion Detection System (IDS) is an essential method to protect network security from
incoming on-line threats. Machine learning enable automates the classification of network …

Analysis of machine learning techniques based intrusion detection systems

RK Sharma, HK Kalita, P Borah - … and Informatics: ICACNI 2015, Volume 2, 2016 - Springer
Abstract Attacks on Computer Networks are one of the major threats on using Internet these
days. Intrusion Detection Systems (IDS) are one of the security tools available to detect …

Intrusion detection in computer networks using optimized machine learning algorithms

AA Yilmaz - 2022 3rd International Informatics and Software …, 2022 - ieeexplore.ieee.org
Intrusion detection systems (IDSs) are employed to maintain computer networks from cyber
attacks. Here, the aim is to detect intrusions once the data is transmitted across the internet …

A study of network intrusion detection systems using artificial intelligence/machine learning

P Vanin, T Newe, LL Dhirani, E O'Connell, D O'Shea… - Applied Sciences, 2022 - mdpi.com
The rapid growth of the Internet and communications has resulted in a huge increase in
transmitted data. These data are coveted by attackers and they continuously create novel …

Transfer learning based intrusion detection

Z Taghiyarrenani, A Fanian, E Mahdavi… - … on Computer and …, 2018 - ieeexplore.ieee.org
In the past decades, machine learning based intrusion detection systems have been
developed. This paper discloses a new aspect of machine learning based intrusion …

A comparative study of diverse intrusion detection methods using machine learning techniques

V Kathiresan, S Karthik, P Divya… - … and Informatics (ICCCI), 2022 - ieeexplore.ieee.org
Establishing robust and efficient intrusion detection systems (IDS) and Intrusion prevention
systems (IPS) are inevitable in today's security world. The major role of IDS is detecting the …

An overview of intrusion detection based on data mining techniques

K Wankhade, S Patka, R Thool - … International Conference on …, 2013 - ieeexplore.ieee.org
Intrusion Detection System (IDS) is a vital component of any network in today's world of
Internet. IDS are an effective way to detect different kinds of attacks in interconnected …

Intrusion Detection System Using Machine Learning

A Kiran, SW Prakash, BA Kumar… - 2023 International …, 2023 - ieeexplore.ieee.org
The use of computers and the internet has spread rapidly over the course of the past few
decades. Every day, more and more people are coming to rely heavily on the internet. When …

Feature set tuning in statistical learning network intrusion detection

A Gouveia, M Correia - 2016 IEEE 15th International …, 2016 - ieeexplore.ieee.org
The detection of security-related events using machine learning approaches has been
extensively investigated. In particular, machine learning applied to network intrusion …

[PDF][PDF] Evaluating machine learning algorithms for detecting network intrusions

M Panda, MR Patra - International Journal of recent trends in …, 2009 - academia.edu
With recent advances in network based technology and increased dependability of our
everyday life on this technology, assuring reliable operation of network based system is very …