Zobrazeno 1 - 6
of 6
pro vyhledávání: '"api call sequencing"'
Publikováno v:
Journal of Information Security and Cybercrimes Research, Vol 7, Iss 1, Pp 85-92 (2024)
In this work, two categories of deep learning and conventional machine learning were used to classify malware using a dataset of all possible API call sequences. Specifically, the objective was to determine the best strategy to tackle the ever-rising
Externí odkaz:
https://doaj.org/article/238bfabe9fe14facbaa086c22ad1681a
Autor:
Babbar, Himanshi1 (AUTHOR), Rani, Shalli1 (AUTHOR) shalli.rani@chitkara.edu.in, Sah, Dipak Kumar2 (AUTHOR) dipak.sah@gla.ac.in, AlQahtani, Salman A.3 (AUTHOR) salmanq@ksu.edu.sa, Kashif Bashir, Ali4 (AUTHOR) dr.alikashif.b@ieee.org
Publikováno v:
Sensors (14248220). Aug2023, Vol. 23 Issue 16, p7256. 17p.
This book explores the interdisciplinary nature of machine learning in multimedia, highlighting its intersections with fields such as computer vision, natural language processing, and audio signal processing.Machine Learning in Multimedia: Unlocking
This book provides the foundational aspects of malware attack vectors and appropriate defense mechanisms against malware. The book equips readers with the necessary knowledge and techniques to successfully lower the risk against emergent malware atta
The two volume set, LNCS 11735 and 11736, constitutes the proceedings of the 24th European Symposium on Research in Computer Security, ESORIC 2019, held in Luxembourg, in September 2019. The total of 67 full papers included in these proceedings was