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[HTML][HTML] A comprehensive analysis of the role of artificial intelligence and machine learning in modern digital forensics and incident response
In the dynamic landscape of digital forensics, the integration of Artificial Intelligence (AI) and
Machine Learning (ML) stands as a transformative technology, poised to amplify the …
Machine Learning (ML) stands as a transformative technology, poised to amplify the …
Bytercnn: Enhancing file fragment type identification with recurrent and convolutional neural networks
File fragment type identification is an important step in file carving and data recovery.
Machine learning techniques, especially neural networks, have been utilized for this …
Machine learning techniques, especially neural networks, have been utilized for this …
Classification of low-and high-entropy file fragments using randomness measures and discrete Fourier transform coefficients
This paper presents an approach to improve the file fragment classification by proposing
new features for classification and evaluating them on a dataset that includes both low-and …
new features for classification and evaluating them on a dataset that includes both low-and …
A language-independent approach to classification of textual file fragments: Case study of persian, english, and chinese languages
FM Hanis, H Khoshvaghti, M Teimouri… - 2021 11th …, 2021 - ieeexplore.ieee.org
With the advent of communications systems in recent decades, the transmission of electronic
files on computer networks has dramatically increased. In this situation, identifying the type …
files on computer networks has dramatically increased. In this situation, identifying the type …
[PDF][PDF] Solitude and Loneliness in Korean Society: Cognitive Exploration and Understanding
H Jang, Y Kim - 한국심리학회지: 인지 및 생물, 2024 - accesson.kr
This study developed a representative words tool for solitude and loneliness and examined
the perception of the two emotions dimensionally. A word classification task was performed …
the perception of the two emotions dimensionally. A word classification task was performed …
Anomaly detection in file fragment classification of image file formats
File fragment classification is an important and challenging problem in many domains.
Among all the different file formats in computer networks and storage devices, image file …
Among all the different file formats in computer networks and storage devices, image file …
Evaluating the Effect of Compression Settings in the Classification of Image File Formats
The classification of file fragments of various file formats is an important task in many
applications such as intrusion detection systems, web content filtering, and digital forensics …
applications such as intrusion detection systems, web content filtering, and digital forensics …