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Cloud Based Intrusion Detection Conceptual Model For IoT Objects

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dc.contributor.author Abdulaziz Saleh
dc.contributor.author Rasheed Mohammad Nassr
dc.contributor.author Abdul Rauf Johari
dc.contributor.author (UniKL MIIT)
dc.date.accessioned 2018-06-07T08:51:49Z
dc.date.accessioned 2018-06-07T08:52:23Z
dc.date.available 2018-06-07T08:51:49Z
dc.date.available 2018-06-07T08:52:23Z
dc.date.issued 2018-06-07
dc.identifier.uri http://ir.unikl.edu.my/jspui/handle/123456789/18978
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. en_US
dc.language.iso en en_US
dc.subject IoT en_US
dc.subject IDS Integration en_US
dc.subject Cloud Computing en_US
dc.subject Visualization en_US
dc.subject ML en_US
dc.title Cloud Based Intrusion Detection Conceptual Model For IoT Objects en_US
dc.type Other en_US
dc.conference.name International Conference on Information & Communication Technology en_US
dc.conference.year 2018 en_US


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