Results 101 to 110 of about 2,166 (172)

TrustDS: policy-compiled governance and verifiable evidence for cross-cloud marketplace analytics under explicit security assumptions. [PDF]

Sci Rep
Dockara TR, Malhotra M.
europepmc   +1 more source

Detecting command injection attacks in web applications based on novel deep learning methods. [PDF]

Sci Rep
Wang X, Zhai J, Yang H.
europepmc   +1 more source

Extracting Optimal Number of Features for Machine Learning Models in Multilayer IoT Attacks. [PDF]

Sensors (Basel)
Sukhni BA, Manna SK, Dave JM, Zhang L.
europepmc   +1 more source

HAMC-ID: hybrid attention-based meta-classifier for intrusion detection. [PDF]

Sci Rep
Antony Joseph Raj S, Madiajagan M.
europepmc   +1 more source

An intelligent deep representation learning with enhanced feature selection approach for cyberattack detection in internet of things enabled cloud environment. [PDF]

Sci Rep
Alamro H, Albouq SS, Khan J, Alanazi MH, Aljehane NO, Alqurni JS, Alshahrani MM, Alasmari O.   +7 more
europepmc   +1 more source

There is urgent need for a Global Data Resource for Antimicrobial PK/PD: CAMO-Net GDR Initiative. [PDF]

Nat Commun
Mutegeki H, Holmes AH, Jjingo D, Galiwango R, Kambugu A, Shafiq N, Hill-Cawthorne K, Hope W, Das S.   +8 more
europepmc   +1 more source

RETRACTED: Enhancing IoT cybersecurity through lean-based hybrid feature selection and ensemble learning: A visual analytics approach to intrusion detection.

PLoS One
Zada I, Omran E, Jan S, Alfraihi H, Alsalamah S, Alshahrani A, Hayat S, Phi N.   +7 more
europepmc   +1 more source

Securing web applications against XSS and SQLi attacks using a novel deep learning approach. [PDF]

Sci Rep
Tadhani JR, Vekariya V, Sorathiya V, Alshathri S, El-Shafai W.   +4 more
europepmc   +1 more source

An effectiveness of deep learning with fox optimizer-based feature selection model for securing cyberattack detection in IoT environments. [PDF]

Sci Rep
Alkhonaini MA.
europepmc   +1 more source

A privacy preserving intrusion detection framework for IIoT in 6G networks using homomorphic encryption and graph neural networks. [PDF]

Sci Rep
Hua B, Xi H.
europepmc   +1 more source