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Siamese Neural Network-Based Intrusion Detection System

Intrusion Detection Systems (IDS) play a critical role in cybersecurity, identifying and mitigating unauthorized access. Traditional IDS face challenges related to high false-positive rates and computational costs. In this paper, we propose a novel approach using a Siamese Neural Network (SNN) to improve detection accuracy while optimizing resource ...
Jonston Davis C   +4 more
openaire   +1 more source

Dynamic Images Comparison using Siamese Neural Network

2023 International Conference on Software, Telecommunications and Computer Networks (SoftCOM), 2023
Domagoj Steiner   +3 more
openaire   +1 more source

Context-based Adblocker using Siamese Neural Network

2022 6th International Conference on Cryptography, Security and Privacy (CSP), 2022
Shawn Collins, Emily Wu, Rui Ning
openaire   +1 more source

Complementary Product Recommendation using Siamese Neural Network

2023 International Conference on Communication System, Computing and IT Applications (CSCITA), 2023
Roshan Rai   +5 more
openaire   +1 more source

Speaker Recognition Using Convolutional Siamese Neural Networks

The transactions of The Korean Institute of Electrical Engineers, 2020
Heeseung Jung   +2 more
openaire   +1 more source

Fast–Face Recognition: Siamese Neural Network

Aditya Gujrathi   +6 more
openaire   +1 more source

E-voting with Siamese Neural Network

G. Lavanya   +4 more
openaire   +1 more source

Handwritten Signature Recognition Using Siamese Neural Network

2024 International Conference on Computer Engineering, Network, and Intelligent Multimedia (CENIM)
Yuliana Setiowati   +2 more
openaire   +1 more source

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