Spectrogram based Anomaly Detection Scheme for Internet-of-Things using Deep Convolutional Neural Network
The revolutionary idea of the internet-of-things (IoT) architecture has gained enormous recognition over the last decade, resulting in exponential growth in the networks, connected devices, and the data processed therein. Since IoT devices generate and exchange a massive amount of sensitive data ove...
Saved in:
Main Author: | Zeeshan, Ahmad |
---|---|
Format: | Thesis |
Language: | English English |
Published: |
UNIMAS
2023
|
Subjects: | |
Online Access: | http://ir.unimas.my/id/eprint/41363/5/Thesis%20Form_Zeeshan%20Ahmad.pdf http://ir.unimas.my/id/eprint/41363/6/Zeeshan%20Ahmad%20ft.pdf http://ir.unimas.my/id/eprint/41363/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
A Spectrogram Image-Based Network Anomaly Detection System Using Deep Convolutional Neural Network
by: Adnan Shahid, Khan, et al.
Published: (2021) -
S-ADS: Spectrogram Image-based Anomaly Detection System for IoT networks
by: Zeeshan, Ahmad, et al.
Published: (2022) -
HEADS : hybrid ensemble anomaly detection system for Internet-of-Things networks.
by: Zeeshan, Ahmad, et al.
Published: (2024) -
Intrusion detection with deep learning on internet of things heterogeneous network
by: Sharipuddin, S., et al.
Published: (2021) -
Deep learning layer convolutional neural network (CNN) scheme for cancer image
by: Zainudin, Z., et al.
Published: (2019)