2020
DOI: 10.1016/j.jnca.2019.102507
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A hybrid machine learning approach for malicious behaviour detection and recognition in cloud computing

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Cited by 79 publications
(55 citation statements)
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“…These malicious activities are either reported to the security administrator of system or gathered centrally by the security information event management (SIEM) system. The monitoring environments fall into two categories: host and network-based environments [ 14 ]. A host-based IDS (HIDS) monitors the activities of a host via gathering information about various processes that occur in a computer system.…”
Section: The Background Of Intrusion Detection Systems and Propertiesmentioning
confidence: 99%
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“…These malicious activities are either reported to the security administrator of system or gathered centrally by the security information event management (SIEM) system. The monitoring environments fall into two categories: host and network-based environments [ 14 ]. A host-based IDS (HIDS) monitors the activities of a host via gathering information about various processes that occur in a computer system.…”
Section: The Background Of Intrusion Detection Systems and Propertiesmentioning
confidence: 99%
“…A host-based IDS (HIDS) monitors the activities of a host via gathering information about various processes that occur in a computer system. Therefore, a sensor is deployed in the system to check the hosts and log the operating system activities, whereas a network-based IDS (NIDS) monitors network traffics to remotely identify anomalies spreading over a network connection [ 14 , 15 ].…”
Section: The Background Of Intrusion Detection Systems and Propertiesmentioning
confidence: 99%
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