Results 121 to 130 of about 119,256 (176)

SA-FLIDS: secure and authenticated federated learning-based intelligent network intrusion detection system for smart healthcare. [PDF]

PeerJ Comput Sci
Bensaid R, Labraoui N, Abba Ari AA, Saidi H, Mboussam Emati JH, Maglaras L.   +5 more
europepmc   +1 more source

End-to-End Network Intrusion Detection Based on Contrastive Learning. [PDF]

Sensors (Basel)
Li L, Lu Y, Yang G, Yan X.
europepmc   +1 more source

DRL-GAN: A Hybrid Approach for Binary and Multiclass Network Intrusion Detection. [PDF]

Sensors (Basel)
Strickland C, Zakar M, Saha C, Soltani Nejad S, Tasnim N, Lizotte DJ, Haque A.   +6 more
europepmc   +1 more source

NIDS-FGPA: A federated learning network intrusion detection algorithm based on secure aggregation of gradient similarity models. [PDF]

PLoS One
Wang J, Yang K, Li M.
europepmc   +1 more source

Integration of simulated annealing into pigeon inspired optimizer algorithm for feature selection in network intrusion detection systems. [PDF]

PeerJ Comput Sci
Huang W, Tian H, Wang S, Zhang C, Zhang X.   +4 more
europepmc   +1 more source

Enhanced Prairie Dog Optimization with Differential Evolution for solving engineering design problems and network intrusion detection system. [PDF]

Heliyon
Alshinwan M, Khashan OA, Khader M, Tarawneh O, Shdefat A, Mostafa N, AbdElminaam DS.   +6 more
europepmc   +1 more source

Methodology for the Detection of Contaminated Training Datasets for Machine Learning-Based Network Intrusion-Detection Systems. [PDF]

Sensors (Basel)
Medina-Arco JG, Magán-Carrión R, Rodríguez-Gómez RA, García-Teodoro P.   +3 more
europepmc   +1 more source

Enhanced Network Intrusion Detection System for Internet of Things Security Using Multimodal Big Data Representation with Transfer Learning and Game Theory. [PDF]

Sensors (Basel)
Ullah F, Turab A, Ullah S, Cacciagrano D, Zhao Y.   +4 more
europepmc   +1 more source

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Network intrusion detection

IEEE Network, 1994
Intrusion detection is a new, retrofit approach for providing a sense of security in existing computers and data networks, while allowing them to operate in their current "open" mode. The goal of intrusion detection is to identify unauthorized use, misuse, and abuse of computer systems by both system insiders and external penetrators.
B. Mukherjee, L.T. Heberlein, K.N. Levitt   +2 more
openaire   +1 more source

Hybrid network Intrusion Detection

2011 IEEE 7th International Conference on Intelligent Computer Communication and Processing, 2011
In this paper we present a novel Intrusion Detection System which uses a hybrid approach based on a pattern matching engine and a neural network functioning in parallel to improve the detection efficiency. The attacks that this module is able to detect will be presented, as well as the methods used.
Cristina Amza, Catalin Leordeanu, Valentin Cristea   +2 more
openaire   +1 more source