The advent of the Internet computer, and thus the amounts of connected computers in the last few decades, has opened vast quantities of intelligence to attackers and intruders …
AN Iman, T Ahmad - International Journal of Intelligent Engineering & …, 2020 - inass.org
With the development and ease of access to internet networks, the potential for attacks and intrusions have increased. The intrusion detection system (IDS), an approach to overcome …
The recent trend in network intrusion detection leverages key features of machine learning (ML) algorithms to detect network traffic anomalies. Network traffic flows contain high …
The fast development of information technology has made information security and computer networks an essential factor. One possible method of protecting these security …
MJ Siraj, T Ahmad, RM Ijtihadie - International Journal of Advances in Soft …, 2022 - i-csrs.org
Abstract An Intrusion Detection System (IDS) helps the computer system notify an admin when an attack is coming to a network. However, some problems may delay this process …
C Anusha, A Sravani, J Anusha… - … and Networks (ICAN …, 2022 - ieeexplore.ieee.org
The network security is a main problem in any disseminated framework. To providing the safe and secure network we have been proposed anomaly detection system against from …
Intrusion Detection Systems (IDSs) play an important part in securing computer networks from different malicious threats and attacks. Modern IDSs leverage machine learning …
Y Sugianela, T Ahmad - ICIC Express Letters, Part B …, 2022 - scholar.archive.org
The era of big data, which is coming with a complicated and big scope of data, has caused the increase of the possibility of network attack. One of those possible attacks is DDoS or …
LE Alatabani, ES Ali, RA Saeed - Data-Driven Intelligence in …, 2023 - taylorfrancis.com
In a wireless network, there is typically a large amount of data being exchanged over the network. Having sensitive information about users and network analytics leads to the idea of …