Investigating the Effectiveness of Novel Support Vector Neural Network for Anomaly Detection in Digital Forensics Data

Investigating the Effectiveness of Novel Support Vector Neural Network for Anomaly Detection in Digital Forensics Data

As criminal activity increasingly relies on digital devices, the field of digital forensics plays a vital role in identifying and investigating criminals. In this paper, we addressed the problem of anomaly detection in digital forensics data. Our objective was to propose an effective approach for id...

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Bibliographic Details
Main Authors: Umar Islam, Hathal Salamah Alwageed, Malik Muhammad Umer Farooq, Inayat Khan, Fuad A. Awwad, Ijaz Ali, Mohamed R. Abonazel
Format: Article
Language:English
Published: MDPI AG 2023-06-01
Series:Sensors
Subjects:
anomaly
forensics
cybersecurity
machine learning
SVM
NN
Online Access:https://www.mdpi.com/1424-8220/23/12/5626

Internet

https://www.mdpi.com/1424-8220/23/12/5626

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