This research recommends a different approach to anomaly identification in crime-related digital forensics data than has been taken in prior studies: a Novel ...
Jun 15, 2023 · In this paper, we addressed the problem of anomaly detection in digital forensics data. Our objective was to propose an effective approach for ...
Jun 16, 2023 · In this paper, we addressed the problem of anomaly detection in digital forensics data. Our objective was to propose an effective approach for ...
Apr 30, 2024 · Abstract. Anomaly detection in digital forensics data is critical for identifying suspicious activities and potential security breaches.
Missing: Effectiveness | Show results with:Effectiveness
Anomaly detection in digital forensics data is critical for identifying suspicious activities and potential security breaches. This mini-review investigates the ...
Missing: Effectiveness | Show results with:Effectiveness
... Network for Anomaly Detection in Investigating the Effectiveness of Novel Support Vector Neural Network for Anomaly Detection in Digital Forensics Data.
A novel support vector machine approach to high entropy data fragment classification ... An approach to detect executable content for anomaly based network ...
The novel algorithms are tested in various distributed system configurations, yielding promising initial results that pave the way for further investigation.
International Journal of Electronic Security and Digital Forensics
www.inderscience.com › forthcoming
This study proposes an anomaly-based intrusion detection system for a water treatment plant based on a new model to determine variable significance for improved ...
5 days ago · This algorithm aims to identify and detect unknown malicious traffic without human intervention, representing a significant advancement in the ...