Results 111 to 120 of about 1,235 (177)

An efficient data driven framework for intrusion detection in wireless sensor networks using deep learning. [PDF]

Sci Rep
Sinha P, Sahu D, Prakash S, Rathore RS, Dixit P, Pandey VK, Hunko I.   +6 more
europepmc   +1 more source

Hybrid Ant-Baby Optimizer and BiLSTM framework for high-performance IoT intrusion detection. [PDF]

Front Artif Intell
Balakrishnan A, Maddikunta PKR.
europepmc   +1 more source

DMSTG-AD: an SDN intrusion detection method based on dynamic multi-scale spatio-temporal graph neural network. [PDF]

Sci Rep
Zhao J, Zhang D, He Q, Lin M, Yang Y.
europepmc   +1 more source

Web-Based Botnet for Blocking Control Flow in Open-Source Medical Syringe Pump. [PDF]

Int J Grid Util Comput
Lu W.
europepmc   +1 more source

Dataset-centric evaluation of federated intrusion detection models in IoT networks. [PDF]

Sci Rep
Bilal MA, Ul Islam I, Idrees S, Qasim M, Khan MJ, Khan J.   +5 more
europepmc   +1 more source

Comparative analysis of deep learning and traditional methods for IoT botnet detection using a multi-model framework across diverse datasets. [PDF]

Sci Rep
Ullah S, Wu J, Lin Z, Kamal MM, Mostafa H, Sheraz M, Chuah TC.   +6 more
europepmc   +1 more source

A hybrid improved binary GWO-PSO with random forest (IBGWO-PSO-RF) based intrusion detection model for large-scale attacks in IoT environment. [PDF]

Sci Rep
Al Abdulwahid A, Alqahtany SS, Syed D, Al Reshan MS, Rajab K, Shaikh A.   +5 more
europepmc   +1 more source

Employing SAE-GRU deep learning for scalable botnet detection in smart city infrastructure. [PDF]

PeerJ Comput Sci
Tariq U, Ahanger TA.
europepmc   +1 more source

Feature importance guided autoencoder for dimensionality reduction in intrusion detection systems. [PDF]

Sci Rep
Abdel-Rahman MA, Alluhaidan AS, El-Rahman SA, Masnour AE, Amar ASI, Sobh MA, Bahaa-Eldin AM, Shamseldin T, Shalaby M.   +8 more
europepmc   +1 more source

Software defined network intrusion system to detect malicious attacks in computer Internet of Things security using deep extractor supervised random forest technique. [PDF]

PeerJ Comput Sci
Mujahid M, Mirdad AR, S Alamri F, Ara A, Khan A.   +4 more
europepmc   +1 more source