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DURLD: Malicious URL Detection Using Deep Learning-Based Character Level Representations
Amrita Vishwa Vidyapeetham, Center for Computational Engineering and Networking, Coimbatore, India.
Division of Biomedical Informatics, Cincinnati Children’s Hospital Medical Center, Cincinnati, USA.
Örebro University, School of Science and Technology. (AASS MRO LAB)ORCID iD: 0000-0003-1827-9698
Charles Darwin University, Darwin Northern Territory, Australia.
2020 (English)In: Malware Analysis Using Artificial Intelligence and Deep Learning / [ed] Mark Stamp, Mamoun Alazab, Andrii Shalaginov, Springer, 2020, p. 535-554Chapter in book (Refereed)
Place, publisher, year, edition, pages
Springer, 2020. p. 535-554
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Computer Sciences
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Computer Science
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URN: urn:nbn:se:oru:diva-89191DOI: 10.1007/978-3-030-62582-5_21ISBN: 9783030625825 (electronic)ISBN: 9783030625818 (print)OAI: oai:DiVA.org:oru-89191DiVA, id: diva2:1524276
Available from: 2021-02-01 Created: 2021-02-01 Last updated: 2021-02-24Bibliographically approved

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Arunachalam, Ajay

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