Results 21 to 30 of about 119,256 (176)

Borderline SMOTE Algorithm and Feature Selection-Based Network Anomalies Detection Strategy

Energies, 2022
This paper proposes a novel network anomaly detection framework based on data balance and feature selection. Different from the previous binary classification of network intrusion, the network anomaly detection strategy proposed in this paper solves the ...
Yong Sun, Huakun Que, Qianqian Cai, Jingming Zhao, Jingru Li, Zhengmin Kong, Shuai Wang   +6 more
doaj   +1 more source

A taxonomy of malicious traffic for intrusion detection systems [PDF]

, 2018
With the increasing number of network threats it is essential to have a knowledge of existing and new network threats to design better intrusion detection systems.
Atkinson, Robert, Bayne, Ethan, Bellekens, Xavier, Hindy, Hanan, Hodo, Elike, Seeam, Amar   +5 more
core   +4 more sources

Tier-Based Optimization for Synthesized Network Intrusion Detection System

IEEE Access, 2022
The innovation and evolution of hacking methodologies have led to a sharp rise in cyber attacks, highlighting the need for enhanced network security approaches.
Murtaza Ahmed Siddiqi, Wooguil Pak
doaj   +1 more source

An overview to Software Architecture in Intrusion Detection System [PDF]

, 2014
Today by growing network systems, security is a key feature of each network infrastructure. Network Intrusion Detection Systems (IDS) provide defense model for all security threats which are harmful to any network.
Bahrami, Mehdi, Bahrami, Mohammad
core   +1 more source

Artificial Intelligence based Intrusion Detection System – A Detailed Survey [PDF]

ITM Web of Conferences
The Internet and communications have rapidly expanded, leading to a significant rise in data generation and heterogeneity. Intrusion detection systems play a crucial role in ensuring the security and integrity of computer systems. These systems have been
Sharma Vishwas, Shah Dharmesh, Sharma Sachin, Gautam Sunil   +3 more
doaj   +1 more source

An Efficient Network Intrusion Detection and Classification System

Mathematics, 2022
Intrusion detection in computer networks is of great importance because of its effects on the different communication and security domains. The detection of network intrusion is a challenge.
Iftikhar Ahmad, Qazi Emad Ul Haq, Muhammad Imran, Madini O. Alassafi, Rayed A. AlGhamdi   +4 more
doaj   +1 more source

Intrusion Detection Systems for Community Wireless Mesh Networks [PDF]

, 2008
Wireless mesh networks are being increasingly used to provide affordable network connectivity to communities where wired deployment strategies are either not possible or are prohibitively expensive.
Hutchison, David, Makaroff, D., Race, Nicholas J. P., Smith, Paul   +3 more
core   +1 more source

Network intrusion detection leveraging multimodal features

Array, 2023
Network Intrusion Detection Systems (NIDSes) are essential for safeguarding critical information systems. However, the lack of adaptability of Machine Learning (ML) based NIDSes to different environments could cause slow adoption. In this paper, we propose a multimodal NIDS that combines flow and payload features to detect cyber-attacks.
Aklil Kiflay, Athanasios Tsokanos, Mahmood Fazlali, Raimund Kirner   +3 more
openaire   +2 more sources

Toward Network-based DDoS Detection in Software-defined Networks [PDF]

, 2018
To combat susceptibility of modern computing systems to cyberattack, identifying and disrupting malicious traffic without human intervention is essential.
Chaves Luciano Jerez, Ji Zhou, Kim Jungwon, Krasnyansky Maxim, Stolfo Salvatore J   +4 more
core   +1 more source

Research on Key Technology of Network Intrusion Detection System Based on Improved GA-BPNN Algorithm

Chemical Engineering Transactions, 2016
In recent years, with the rapid development of information and network technology, computer and network infrastructure has become a popular target of hacker attacks.
H.F. Hu, W.N. He
doaj   +1 more source