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Digital forensics in VoIP networks [PDF]
2010 IEEE International Workshop on Information Forensics and Security, 2010 With VoIP being deployed on large scale, forensic analysis of captured VoIP traffic is of major practical interest. In this paper, we present a new fingerprinting approach that identifies the types of devices (name, version, brand, series) in captured VoIP traffic. We focus only on the signaling plane and discard voice related data.
François, Jérôme +3 more
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HDLNIDS: Hybrid Deep-Learning-Based Network Intrusion Detection System
Applied Sciences, 2023 Attacks on networks are currently the most pressing issue confronting modern society. Network risks affect all networks, from small to large. An intrusion detection system must be present for detecting and mitigating hostile attacks inside networks ...
Emad Ul Haq Qazi +2 more
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Cryptographic Techniques for Data Privacy in Digital Forensics
IEEE Access, 2023 The acquisition and analysis of data in digital forensics raise different data privacy challenges. Many existing works on digital forensic readiness discuss what information should be stored and how to collect relevant data to facilitate investigations ...
Taiwo Blessing Ogunseyi +1 more
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Egyptian Journal of Forensic Sciences, 2020 Background The assimilation between three-dimensional (3D) imaging techniques and dental forensic science can provide rich and stable information for human identification.
Arofi Kurniawan +6 more
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An AES-Based Secure Image Retrieval Scheme Using Random Mapping and BOW in Cloud Computing
IEEE Access, 2020 With the rapid growth of the number of images, many content-based image retrieval methods have been extensively used in our daily life. In general, image retrieval services are very expensive in terms of computing and storage.
Hua Wang +3 more
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FF-BTP Model for Novel Sound-Based Community Emotion Detection
IEEE Access, 2023 Most emotion classification schemes to date have concentrated on individual inputs rather than crowd-level signals. In addressing this gap, we introduce Sound-based Community Emotion Recognition (SCED) as a fresh challenge in the machine learning domain.
Arif Metehan Yildiz +8 more
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Emergency environmental sound classification using TrianglePat: a self-organized feature engineering framework [PDF]
PeerJ Computer ScienceAutomated environmental sound classification (ESC) has become a key research area in advanced signal processing. This study focuses on detecting emergency events using a novel ESC model.
Mehmet Kaan Poyraz +7 more
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Semi-Supervised Contrastive Learning for Few-Shot Segmentation of Remote Sensing Images
Remote Sensing, 2022 Deep learning has been widely used in remote sensing image segmentation, while a lack of training data remains a significant issue. The few-shot segmentation of remote sensing images refers to the segmenting of novel classes with a few annotated samples.
Yadang Chen +4 more
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digital forensic of criminology
, 2022 Issues of vital criminological research and policy significance abound in the global South, with important implications for South/North relations and for global security and justice. Having a theoretical framework capable of appreciating the significance of this global dynamic will contribute to criminology being able to better understand the ...
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CubicPat: Investigations on the Mental Performance and Stress Detection Using EEG Signals
DiagnosticsBackground\Objectives: Solving the secrets of the brain is a significant challenge for researchers. This work aims to contribute to this area by presenting a new explainable feature engineering (XFE) architecture designed to obtain explainable results ...
Ugur Ince +9 more
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