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metadata.conference.dc.title: Cloud Based Intrusion Detection Conceptual Model For IoT Objects
metadata.conference.dc.contributor.*: Abdulaziz Saleh
Rasheed Mohammad Nassr
Abdul Rauf Johari
metadata.conference.dc.subject: IoT
IDS Integration
Cloud Computing
ML 7-Jun-2018
metadata.conference.dc.description.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.
metadata.conference.dc.identifier.uri: International Conference on Information & Communication Technology
metadata.conference.dc.conference.year: 2018
Appears in Collections:Conference Papers
Conference Papers

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