An event correlation model for real-time attack detection comprising real-time data collection, hierarchical event correlation, and correlation-based intrusion detection

Maosa, Herbert

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An event correlation model for real-time attack detection comprising real-time data collection, hierarchical event correlation, and correlation-based intrusion detection

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Maosa, Herbert (2023) An event correlation model for real-time attack detection comprising real-time data collection, hierarchical event correlation, and correlation-based intrusion detection. Doctoral thesis, London Metropolitan University.

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Abstract

The world is getting more and more interconnected at a rapid pace. This is being facilitated and accelerated by emerging technologies, such as mobile, cloud-based services and Internet of Things. The price of transmission capacity is getting cheaper, with the typical household today connected to the internet through fast links in Europe. With this level of connectedness comes an increased surface for the bad actors to attack, making it vital that efficient mechanisms be put in place to protect users of net-based services.

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Title:

An event correlation model for real-time attack detection comprising real-time data collection, hierarchical event correlation, and correlation-based intrusion detection

Creators:

Maosa, Herbert

Date:

2023

Subjects:

000 Computer science, information & general works

Department:

School of Computing and Digital Media (SCDM)

Uncontrolled Keywords:

cybercrime; detection systems; computer security breaches prevention

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URI: