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You're reading from  MATLAB for Machine Learning - Second Edition

Product typeBook
Published inJan 2024
Reading LevelIntermediate
PublisherPackt
ISBN-139781835087695
Edition2nd Edition
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Giuseppe Ciaburro
Giuseppe Ciaburro
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Giuseppe Ciaburro

Giuseppe Ciaburro holds a PhD and two master's degrees. He works at the Built Environment Control Laboratory - Università degli Studi della Campania "Luigi Vanvitelli". He has over 25 years of work experience in programming, first in the field of combustion and then in acoustics and noise control. His core programming knowledge is in MATLAB, Python and R. As an expert in AI applications to acoustics and noise control problems, Giuseppe has wide experience in researching and teaching. He has several publications to his credit: monographs, scientific journals, and thematic conferences. He was recently included in the world's top 2% scientists list by Stanford University (2022).
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Creating recommender systems for network intrusion detection using MATLAB

A NIDS serves as a security mechanism that’s employed to identify and prevent unauthorized access, malicious activities, and potential threats within a computer network. It involves monitoring network traffic and analyzing it to identify any suspicious or abnormal behaviors. The main objective of network intrusion detection is to protect the network from various types of attacks, such as denial-of-service (DoS) attacks, malware infections, data leakage, unauthorized access, and other cyber threats.

There are two primary methods of network intrusion detection:

  • Signature-based detection: This method involves comparing network traffic patterns with a database of known signatures or patterns of known attacks. If a match is found, an alert is generated to notify the network administrator.
  • Anomaly-based detection: This method focuses on identifying abnormal or suspicious network behavior that...
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MATLAB for Machine Learning - Second Edition
Published in: Jan 2024Publisher: PacktISBN-13: 9781835087695

Author (1)

author image
Giuseppe Ciaburro

Giuseppe Ciaburro holds a PhD and two master's degrees. He works at the Built Environment Control Laboratory - Università degli Studi della Campania "Luigi Vanvitelli". He has over 25 years of work experience in programming, first in the field of combustion and then in acoustics and noise control. His core programming knowledge is in MATLAB, Python and R. As an expert in AI applications to acoustics and noise control problems, Giuseppe has wide experience in researching and teaching. He has several publications to his credit: monographs, scientific journals, and thematic conferences. He was recently included in the world's top 2% scientists list by Stanford University (2022).
Read more about Giuseppe Ciaburro