Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/1629
Title: A Detailed Analysis on Intrusion Identification Mechanism in Cloud Computing and Datasets
Authors: Aws Naser Jaber 
Shahid Anwar 
NZ Khidzir 
Mohammed Anbar 
Keywords: Intrusion identification;Cloud computing;Cyber security
Issue Date: 2021
Publisher: Springer Singapore
Journal: Advances in Cyber Security 
Conference: 2nd International Conference On Advances In Cyber Security 
Abstract: 
Today, rather than utilizing high-powered workstation/desktop to access Internet services, users can use small portable devices for this purpose. As such, the computing power is provided via the innovative cloud computing technology, in which computations are performed in remote huge data centers. Applications are conveyed as services on the web in the field of cloud computing. Despite most organizations show significant interest in cloud computing, many clients are not willing to move their vital information to the clouds due to security concern (hacking). Data storage security is one of the greatest challenges in implementing cloud computing. If this issue is not addressed properly, it would hinder the growth of cloud computing. This research study provides a detailed analysis on intrusion identification mechanism in the cloud computing and datasets on the bases of our in-depth understanding.
Description: 
Scopus
URI: http://hdl.handle.net/123456789/1629
ISBN: 9789813368354
ISSN: 18650929
DOI: 10.1007/978-981-33-6835-4_37
Appears in Collections:Faculty of Creative Technology & Heritage - Journal (Scopus/WOS)

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