Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/18978
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dc.contributor.authorAbdulaziz Saleh-
dc.contributor.authorRasheed Mohammad Nassr-
dc.contributor.authorAbdul Rauf Johari-
dc.contributor.author(UniKL MIIT)-
dc.date.accessioned2018-06-07T08:51:49Z-
dc.date.accessioned2018-06-07T08:52:23Z-
dc.date.available2018-06-07T08:51:49Z-
dc.date.available2018-06-07T08:52:23Z-
dc.date.issued2018-06-07-
dc.identifier.urihttp://ir.unikl.edu.my/jspui/handle/123456789/18978-
dc.description.abstractIoT 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.isoenen_US
dc.subjectIoTen_US
dc.subjectIDS Integrationen_US
dc.subjectCloud Computingen_US
dc.subjectVisualizationen_US
dc.subjectMLen_US
dc.titleCloud Based Intrusion Detection Conceptual Model For IoT Objectsen_US
dc.typeOtheren_US
dc.conference.nameInternational Conference on Information & Communication Technologyen_US
dc.conference.year2018en_US
Appears in Collections:Conference Paper
Conference Paper

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