[HTML][HTML] A comprehensive analysis of the role of artificial intelligence and machine learning in modern digital forensics and incident response

D Dunsin, MC Ghanem, K Ouazzane… - Forensic Science …, 2024 - Elsevier
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 …

Bytercnn: Enhancing file fragment type identification with recurrent and convolutional neural networks

K Skračić, J Petrović, P Pale - IEEE access, 2023 - ieeexplore.ieee.org
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 …

Classification of low-and high-entropy file fragments using randomness measures and discrete Fourier transform coefficients

K Skračić, J Petrović, P Pale - Vietnam journal of computer science, 2023 - World Scientific
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 …

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 …

[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 …

Anomaly detection in file fragment classification of image file formats

Z Seyedghorban, M Teimouri - 2021 11th International …, 2021 - ieeexplore.ieee.org
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 …

Evaluating the Effect of Compression Settings in the Classification of Image File Formats

Z Seyedghorban, M Teimouri - 2020 10th International …, 2020 - ieeexplore.ieee.org
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 …