Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/18978
Title: Cloud Based Intrusion Detection Conceptual Model For IoT Objects
Authors: Abdulaziz Saleh
Rasheed Mohammad Nassr
Abdul Rauf Johari
(UniKL MIIT)
Keywords: IoT
IDS Integration
Cloud Computing
Visualization
ML
Issue Date: 7-Jun-2018
Abstract: IoT is a new paradigm that integrates the physical objects with the internet. Many of vehicles, home appliances, human health and environmental monitoring and other objects might be connected to each other through the IoT network with the ability to sense and exchanging data with each other. in addition to many benefits, IoT brings new challenges related to security issues. Intrusion Detection Systems (IDS) is widely used to monitor and secure networks. However, applying IDS in IoT environment is facing several challenges due to its characteristics such as constrained-resource and standards and protocols. so, this paper presents a proposed model which integrate IoT IDS with cloud services that might decrees the computing resources demanded to apply IDS in IoT platform and visualize its output and show it in more understandable manner. Initial experiments have been conducted to test the possibility of applying SNORT IDS in IoT environment. The results were very encouraging to use SNORT to detect the intrusion in IoT environment. applicability of using SNORT IDS in IoT network.
URI: http://ir.unikl.edu.my/jspui/handle/123456789/18978
Appears in Collections:Conference Paper
Conference Paper

Files in This Item:
File Description SizeFormat 
Cloud based instrusion detection.pdf2.2 MBAdobe PDFView/Open    Request a copy


Items in DSpace are protected by copyright, with all rights reserved, unless otherwise indicated.