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Improved Transmission of Data and Information in Intrusion Detection Environments Using the CBEDE Methodology
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Author(s): Reinaldo Padilha França (State University of Campinas (UNICAMP), Brazil), Yuzo Iano (State University of Campinas (UNICAMP), Brazil), Ana Carolina Borges Monteiro (State University of Campinas (UNICAMP), Brazil)and Rangel Arthur (State University of Campinas (UNICAMP), Brazil)
Copyright: 2020
Pages: 21
Source title:
Handbook of Research on Intrusion Detection Systems
Source Author(s)/Editor(s): Brij B. Gupta (National Institute of Technology, Kurukshetra, India)and Srivathsan Srinivasagopalan (AT&T, USA)
DOI: 10.4018/978-1-7998-2242-4.ch002
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Abstract
To anticipate threats, the Intrusion Detection System (IDS) enables the collection and use of information from various types of attacks to defend an entire network infrastructure. Therefore, this chapter develops a method of data transmission based on discrete event concepts, due to the fact that in this digitally globalized world, networks deal with a huge set of data all the time. Data refers to facts, events, actions, activities, and transactions which have been and can be recorded, i.e., the raw material from which information is produced, nurturing the infrastructure and components that enable modern computing. This methodology was named CBEDE and experiments were matched in the MATLAB software, where the memory consumption was evaluated, presenting great potential to intermediate users and computer systems. Results showed better computational performance related to memory utilization related to the compression of the information, showing an improvement reaching up to 114.39%.
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