Machine learning in digital forensics: a systematic literature review
T Nayerifard, H Amintoosi, AG Bafghi… - arXiv preprint arXiv …, 2023 - arxiv.org
Development and exploitation of technology have led to the further expansion and
complexity of digital crimes. On the other hand, the growing volume of data and …
complexity of digital crimes. On the other hand, the growing volume of data and …
A unified interpretable intelligent learning diagnosis framework for learning performance prediction in intelligent tutoring systems
Intelligent learning diagnosis is a critical engine of intelligent tutoring systems, which aims to
estimate learners' current knowledge mastery status and predict their future learning …
estimate learners' current knowledge mastery status and predict their future learning …
Detecting double JPEG compressed color images with the same quantization matrix in spherical coordinates
Detection of double Joint Photographic Experts Group (JPEG) compression is an important
part of image forensics. Although methods in the past studies have been presented for …
part of image forensics. Although methods in the past studies have been presented for …
Detecting aligned double JPEG compressed color image with same quantization matrix based on the stability of image
Joint photographic experts group (JPEG) compression is widely used in image processing
and computer vision. Detecting double compressed JPEG images is a common problem in …
and computer vision. Detecting double compressed JPEG images is a common problem in …
A novel deep learning framework for double JPEG compression detection of small size blocks
Double JPEG compression detection plays a vital role in multimedia forensics, to find out
whether a JPEG image is authentic or manipulated. However, it still remains to be a …
whether a JPEG image is authentic or manipulated. However, it still remains to be a …
Yolov5 enhanced learning behavior recognition and analysis in smart classroom with multiple students
Deep learning-based computer vision technology has grown stronger in recent years, and
cross-fertilization using computer vision technology has been a popular direction in recent …
cross-fertilization using computer vision technology has been a popular direction in recent …
General forensics for aligned double jpeg compression based on the quantization interference
Detection of aligned double Joint Photographic Experts Group (JPEG) compressed images
is a crucial area of research within the field of digital image forensics. The detection tasks for …
is a crucial area of research within the field of digital image forensics. The detection tasks for …
1-D DCT domain analysis for JPEG double compression detection
The authenticity of an evidence is a necessary and crucial requirement in forensic
investigations and trials, expecially when it comes to digital evidences. In order to …
investigations and trials, expecially when it comes to digital evidences. In order to …
Smart contract vulnerability detection for educational blockchain based on graph neural networks
With the development of blockchain technology, more and more attention has been paid to
the intersection of blockchain and education, and various educational evaluation systems …
the intersection of blockchain and education, and various educational evaluation systems …
A semi-supervised deep learning approach for cropped image detection
Deep learning algorithms have shown great performance in multimedia forensics
applications using supervised learning on large-scale labeled datasets. However …
applications using supervised learning on large-scale labeled datasets. However …