Comparison of deepfake detection techniques through deep learning
Deepfakes are realistic-looking fake media generated by deep-learning algorithms that
iterate through large datasets until they have learned how to solve the given problem (ie …
iterate through large datasets until they have learned how to solve the given problem (ie …
Machine-Learning Forensics: State of the Art in the Use of Machine-Learning Techniques for Digital Forensic Investigations within Smart Environments
L Tageldin, H Venter - Applied Sciences, 2023 - mdpi.com
Recently, a world-wide trend has been observed that there is widespread adoption across
all fields to embrace smart environments and automation. Smart environments include a …
all fields to embrace smart environments and automation. Smart environments include a …
Digital forensics AI: evaluating, standardizing and optimizing digital evidence mining techniques
AA Solanke, MA Biasiotti - KI-Künstliche Intelligenz, 2022 - Springer
The impact of AI on numerous sectors of our society and its successes over the years
indicate that it can assist in resolving a variety of complex digital forensics investigative …
indicate that it can assist in resolving a variety of complex digital forensics investigative …
Use of Artificial Intelligence for Image Processing to Aid Digital Forensics: Legislative Challenges
R Gupta, M Mane, S Bhardwaj, U Nandekar… - … of Research on Thrust …, 2023 - igi-global.com
Use of artificial intelligence for image processing to aid digital forensics is a controversial
topic. Some people believe that AI can be very helpful in this field, while others are …
topic. Some people believe that AI can be very helpful in this field, while others are …
Deepfake forensics: a survey of digital forensic methods for multimodal deepfake identification on social media
The rapid advancement of deepfake technology poses an escalating threat of
misinformation and fraud enabled by manipulated media. Despite the risks, a …
misinformation and fraud enabled by manipulated media. Despite the risks, a …
Analyzing Machine Learning Performance in a Hybrid Quantum Computing and HPC Environment
ST Bieberich, MA Sandoval - arXiv preprint arXiv:2407.07294, 2024 - arxiv.org
We explored the possible benefits of integrating quantum simulators in a" hybrid" quantum
machine learning (QML) workflow that uses both classical and quantum computations in a …
machine learning (QML) workflow that uses both classical and quantum computations in a …
[HTML][HTML] Unveiling Malicious Network Flows Using Benford's Law
P Fernandes, SÓ Ciardhuáin, M Antunes - Mathematics, 2024 - mdpi.com
The increasing proliferation of cyber-attacks threatening the security of computer networks
has driven the development of more effective methods for identifying malicious network …
has driven the development of more effective methods for identifying malicious network …
Machine learning-based approaches for manipulated image and video forensics in digital criminal investigation
K Alemerien, M Al-Mahadin - Multimedia Tools and Applications, 2024 - Springer
The proliferation of manipulation of images and videos and its resulting distortion of
individuals or impact on public opinion in general is due to the ease of obtaining images and …
individuals or impact on public opinion in general is due to the ease of obtaining images and …
Unveiling Malicious Network Flows Using Benford's Law
SÓ Ciardhuáin, P Fernandes, M Antunes - Mathematics, 2024 - dspace-test.interleaf.ie
The increasing proliferation of cyber-attacks threatening the security of computer networks
has driven the development of more effective methods for identifying malicious network …
has driven the development of more effective methods for identifying malicious network …
Artificial intelligence and future crime in the context of computer forensics
P Olber - Przegląd Policyjny, 2023 - ceeol.com
The aim of this article is to discuss the role, tasks and challenges of computer forensics in
the context of the development of AI-enabled crime. The issues described in the article refer …
the context of the development of AI-enabled crime. The issues described in the article refer …