Deep learning techniques to detect cybersecurity attacks: a systematic mapping study

Damiano Torre; Frantzy Mesadieu; Anitha Chennamaneni

doi:10.1007/s10664-023-10302-1

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JOURNAL ARTICLE

Deep learning techniques to detect cybersecurity attacks: a systematic mapping study

Damiano Torre Frantzy Mesadieu Anitha Chennamaneni

Year: 2023 Journal: Empirical Software Engineering Vol: 28 (3) Publisher: Springer Science+Business Media

DOI: 10.1007/s10664-023-10302-1

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Keywords:

Computer science Computer security Data science Reliability (semiconductor) Open research Protocol (science) Systematic review Artificial intelligence World Wide Web

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4.84

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168

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0.89

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Topics

Network Security and Intrusion Detection

Physical Sciences → Computer Science → Computer Networks and Communications

Advanced Malware Detection Techniques

Physical Sciences → Computer Science → Signal Processing

Information and Cyber Security

Physical Sciences → Computer Science → Information Systems

Deep learning techniques to detect cybersecurity attacks: a systematic mapping study

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Citation History

Topics

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