Role of machine learning in intrusion detection system

L Haripriya, MA Jabbar - 2018 second international conference …, 2018 - ieeexplore.ieee.org
Machine Learning (ML) is a modern and highly sophisticated technological application
became a huge trend in the industry. Machine Learning is omnipresent and is widely used in …

A survey on machine learning approaches for developing intrusion detection system

PR Maidamwar, MM Bartere… - Proceedings of the …, 2021 - papers.ssrn.com
Artificial Intelligence is a cutting edge and profoundly modern technological application
which has being recently used methodologies in the industry. This approach is inescapable …

A comprehensive survey on various machine learning methods used for intrusion detection system

AR bhai Gupta, J Agrawal - 2020 IEEE 9th International …, 2020 - ieeexplore.ieee.org
With the advance in technology, now a day's cyber-attack is more sophisticated which is not
easily detected by the any intrusion detection system (IDS). Since most of the user store their …

Deep learning in intrusion detection perspective: Overview and further challenges

K Kim, ME Aminanto - 2017 International Workshop on Big Data …, 2017 - ieeexplore.ieee.org
Deep learning techniques are famous due to Its capability to cope with large-scale data
these days. They have been investigated within various of applications eg, language …

Machine learning empowered efficient intrusion detection framework

H Shafique, AA Shah, MA Qureshi, MK Ehsan… - VFAST Transactions on …, 2022 - vfast.org
In modern era security is becoming major and basic need of any system. Protecting of a
system from unauthorized access is very important for a network system. Network security is …

A review on challenges and future research directions for machine learning-based intrusion detection system

A Thakkar, R Lohiya - Archives of Computational Methods in Engineering, 2023 - Springer
Research in the field of Intrusion Detection is focused on developing an efficient strategy that
can identify network attacks. One of the important strategies is to supervise the 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 …

Machine learning algorithms and datasets for modern ids design

IA Abdulmajeed, IM Husien - 2022 IEEE International …, 2022 - ieeexplore.ieee.org
Intrusion Detection System (IDS) is a critical component in cyber security to capture and
analyze the traffic and then differentiate between benignant and malicious traffic indicating …

Analysis of intrusion detection using machine learning techniques

P NERLIKAR, S PANDEY, S SHARMA… - … Journal of Computer …, 2020 - search.proquest.com
Whenever an intrusion occurs into the computer system, the protection and computer assets
are being compromised. Network-based attacks make it difficult for legitimate users to …

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 …