Application of deep learning to cybersecurity: A survey

Samaneh Mahdavifar; Ali Akbar Ghorbani

doi:10.1016/j.neucom.2019.02.056

Application of deep learning to cybersecurity: A survey

Samaneh Mahdavifar (University of New Brunswick) iD Ali Akbar Ghorbani (University of New Brunswick) iD

Journal: Neurocomputing • 2019-03-06 • Elsevier BV • ISSN: 0925-2312

Abstract

Abstract text is not embedded in this discovery record. Please consult the full-text publication via the source link on the right.

Subjects & Keywords

# Network Security and Intrusion Detection # Computer Science # Spam and Phishing Detection # Adversarial Robustness in Machine Learning

How to Cite this Article

                    Samaneh Mahdavifar, Ali Akbar Ghorbani (2019). "Application of deep learning to cybersecurity: A survey". Neurocomputing. https://doi.org/10.1016/j.neucom.2019.02.056                

Access Full Article

Read Original Article ↗

MainReads is an independent discovery directory. Clicking above directs you to the official publisher repository.

Licence & Open Access

Public Access

Publicly accessible via the publisher or archive. Commercial redistribution or automated full-text duplication without author permission may be restricted.

Identifiers & Provenance

DOI: https://doi.org/10.1016/j.neucom.2019.02.056 ↗
OpenAlex: W2921573932 ↗
Primary Index: OPENALEX