Search Results - File-type classification

File Type Classification based on Data Fragments from Compressed Archives for Digital Forensics

Authors: Mariam M. Saleh Alexander Wang Muhanned AlSlaiman et al.

Source: 2025 1st International Conference on Secure IoT, Assured and Trusted Computing (SATC). :1-5

Image Representation and Deep Inception-Attention for File-type and Malware Classification

Authors: Yi Wang Kejun Wu Wenyang Liu et al.

Source: 2023 IEEE International Symposium on Circuits and Systems (ISCAS). :1-5

File Type Identification Classifier with Classification-by-Retrieval and One-Shot Learning

Authors: Simona Lisker Ayelet Butman Ran Dubin et al.

ITC-MNP: a diverse dataset for image file fragment classification

Authors: Behnam Tavassoli Zhino Naghshbandi Mehdi Teimouri

Source: BMC Res Notes
BMC Research Notes, Vol 17, Iss 1, Pp 1-3 (2024)

Subject Terms: Science (General), Databases, Factual, QH301-705.5, Forensic Sciences, Image file fragment, Datasets as Topic, 02 engineering and technology, Data Note, File type identification, Q1-390, File fragment classification, Image Processing, Computer-Assisted, 0202 electrical engineering, electronic engineering, information engineering, Medicine, Humans, Biology (General), Dataset

Access URL: https://pubmed.ncbi.nlm.nih.gov/39702553
https://doaj.org/article/17c0b6b6d8a64210b77845d6c2cf99f0

SIFT: Sifting file types—application of explainable artificial intelligence in cyber forensics

Authors: Shahid Alam Alper Kamil Demir

Source: Cybersecurity, Vol 7, Iss 1, Pp 1-23 (2024)

Subject Terms: Explainable artificial intelligence, Deep learning, Cyber forensics, File fragment classification, Computer engineering. Computer hardware, TK7885-7895, Electronic computers. Computer science, QA75.5-76.95

File Description: electronic resource

Relation: https://doaj.org/toc/2523-3246

Access URL: https://doaj.org/article/11ac77826a23488c9f37b85bbf973176

File Fragment Classification with Focus on OLE and OOXML classes

Authors: K. Milicic K. Skracic F. Rukavina et al.

Contributors: K. Milicic K. Skracic F. Rukavina et al.

Source: 2020 43rd International Convention on Information, Communication and Electronic Technology (MIPRO). :1250-1253

Subject Terms: OOXML, feedforward neural network, 0202 electrical engineering, electronic engineering, information engineering, file type detection, 02 engineering and technology, file fragment classification, OLE, artificial neural network

Access URL: https://www.bib.irb.hr/1083152
https://doi.org/10.23919/mipro48935.2020.9245428
https://ieeexplore.ieee.org/document/9245428
https://doi.org/10.23919/MIPRO48935.2020.9245428
https://www.bib.irb.hr/1083152
https://doi.org/10.23919/MIPRO48935.2020.9245428
https://dblp.uni-trier.de/db/conf/mipro/mipro2020.html#SkracicRMPP20

Neural Networks for File Fragment Classification

Authors: Juraj Petrovic Predrag Pale Kristijan Vulinovic et al.

Contributors: Juraj Petrovic Predrag Pale Kristijan Vulinovic et al.

Source: 2019 42nd International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO). :1194-1198

Subject Terms: file fragment classification, file type detection, artificial neural network, convolutional neural network, feed forward neural network, file type forensics, 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Access URL: https://ieeexplore.ieee.org/document/8756878
https://doi.org/10.23919/MIPRO.2019.8756878
https://ieeexplore.ieee.org/document/8756878/
https://dblp.uni-trier.de/db/conf/mipro/mipro2019.html#VulinovicIPSP19

Multi-file dynamic compression method based on classification algorithm in DNA storage.

Authors: Bi, Kun Xu, Qi Lai, Xin et al.

Source: Medical & Biological Engineering & Computing; Dec2024, Vol. 62 Issue 12, p3623-3635, 13p

Subject Terms: MACHINE learning, DATA compression, CLASSIFICATION algorithms, DATA warehousing, DNA

File Type Classification for Adaptive Object File System

Authors: Phond Phunchongharn Tiranee Achalakul Supart Pornnapa

Source: TENCON 2006 - 2006 IEEE Region 10 Conference. :1-4

Subject Terms: 0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Access URL: http://ieeexplore.ieee.org/document/4142399/
https://ieeexplore.ieee.org/document/4142399/
http://yadda.icm.edu.pl/yadda/element/bwmeta1.element.ieee-000004142399

Accurate in-network file-type classification

Authors: null Divakaran Dinil Mon null Liau Yung Siang null Thing Vrizlynn L.L.

A Hybrid Model for Load Balancing in Cloud Using File Type Formatting

Authors: Muhammad Junaid Adnan Sohail Adeel Ahmed et al.

Source: IEEE Access, Vol 8, Pp 118135-118155 (2020)

Subject Terms: ACO, machine learning, classification, SVM, load balancing, 0202 electrical engineering, electronic engineering, information engineering, hybrid metaheuristics, Electrical engineering. Electronics. Nuclear engineering, 02 engineering and technology, TK1-9971

Access URL: https://ieeexplore.ieee.org/ielx7/6287639/8948470/09121263.pdf
https://doaj.org/article/acbe6c5b15c54b3b8182503a9e61df7d
http://ieeexplore.ieee.org/document/9121263
https://dblp.uni-trier.de/db/journals/access/access8.html#JunaidSABKA20
https://ieeexplore.ieee.org/document/9121263

FMCNN: Raw-Data Type Identification Using Feature Matrix and CNN

Authors: Eunsu Lee Hoon Yoo

Source: IEEE Access, Vol 13, Pp 141886-141896 (2025)

Subject Terms: Raw data classification, feature matrix, convolutional neural networks, file type identification, preprocessing, content-based classification, Electrical engineering. Electronics. Nuclear engineering, TK1-9971

File Description: electronic resource

Relation: https://ieeexplore.ieee.org/document/11122528/; https://doaj.org/toc/2169-3536

Access URL: https://doaj.org/article/67e4b07aac6b4422b11ac73a3c685a63

Encryption and Compression Classification of Internet of Things Traffic

Authors: M Saleh, Mariam Najdat

Source: Browse all Theses and Dissertations

Subject Terms: Department of Computer Science and Engineering, Physical Sciences and Mathematics, Computer Sciences, Engineering, Computer Engineering, Artificial Intelligence, Computer Science, Information Science, Information Technology, IoT, Encryption, Compression, Classification, Deep learning, Mish function, Entropy test, Chi-squared test, Anderson-Darling test, File Type, Inception Network, File Classification, Histogram, Kernel Density Estimation, Cumulative Density Function

File Description: application/pdf

Relation: https://corescholar.libraries.wright.edu/etd_all/2819; https://corescholar.libraries.wright.edu/context/etd_all/article/3960/viewcontent/send.pdf

Availability: https://corescholar.libraries.wright.edu/etd_all/2819
https://corescholar.libraries.wright.edu/context/etd_all/article/3960/viewcontent/send.pdf

IMPROVED BINARY DATA BLOCK CLASSIFICATION MODEL FOR FILE CARVING PROBLEMS

Authors: VIACHESLAV MOSKALENKO MAKSYM BOIKO

Source: Herald of Khmelnytskyi National University. Technical sciences. 353:13-21

SIFT: Sifting file types—application of explainable artificial intelligence in cyber forensics.

Authors: Alam, Shahid Demir, Alper Kamil

Source: Cybersecurity (2523-3246); 9/11/2024, Vol. 7 Issue 1, p1-23, 23p

Subject Terms: DIGITAL forensics, FORENSIC sciences, ARTIFICIAL intelligence, CYBER intelligence (Computer security), DEEP learning

Data Type Classification: Hierarchical Class-to-Type Modeling

Authors: Minghe Sun Nicole Lang Beebe Lishu Liu et al.

Contributors: Minghe Sun Nicole Lang Beebe Lishu Liu et al.

Source: IFIP Advances in Information and Communication Technology ISBN: 9783319462783

Subject Terms: File types, Statistical classification, Data types, [INFO] Computer Science [cs], 10. No inequality, Hierarchical model

File Description: application/pdf

Access URL: https://link.springer.com/chapter/10.1007%2F978-3-319-46279-0_17
https://hal.inria.fr/hal-01758687/document
https://hal.inria.fr/IFIP-AICT-484/hal-01758687
https://rd.springer.com/chapter/10.1007/978-3-319-46279-0_17

File Fragment Type Classification by Bag-Of-Visual-Words.

Authors: Erfan, Mina Jalili, Saeed

Source: ISeCure; Summer/Autumn2021, Vol. 13 Issue 2, p101-116, 16p

Subject Terms: CLASSIFICATION, INFORMATION storage & retrieval systems

Fast Content-Based File Type Identification

Authors: Ahmed, Irfan Lhee, Kyung-Suk Shin, Hyun-Jung et al.

Contributors: Ahmed, Irfan Lhee, Kyung-Suk Shin, Hyun-Jung et al.

Source: IFIP Advances in Information and Communication Technology ISBN: 9783642242113

Subject Terms: 4. Education, [INFO] Computer Science [cs], file content classification, 16. Peace & justice, File type identification, byte frequency

File Description: application/pdf

Access URL: https://link.springer.com/content/pdf/10.1007%2F978-3-642-24212-0_5.pdf
https://inria.hal.science/hal-01569553v1/document
https://doi.org/10.1007/978-3-642-24212-0_5
https://inria.hal.science/hal-01569553v1
https://rd.springer.com/chapter/10.1007/978-3-642-24212-0_5
https://link.springer.com/content/pdf/10.1007%2F978-3-642-24212-0_5.pdf
https://hal.inria.fr/hal-01569553/document
https://link.springer.com/chapter/10.1007/978-3-642-24212-0_5
https://dblp.uni-trier.de/db/conf/ifip11-9/df2011.html#AhmedLSH11
https://core.ac.uk/display/10903682

Heterogeneous Ensemble Sentiment Classification Model Integrating Multi-View Features and Dynamic Weighting.

Authors: Yang, Song Xing, Jiayao Dong, Zongran et al.

Source: Electronics (2079-9292); Nov2025, Vol. 14 Issue 21, p4189, 31p

Subject Terms: SENTIMENT analysis, ENSEMBLE learning, CLASSIFICATION, FEATURE extraction

A Neural Network Approach to a Grayscale Image-Based Multi-File Type Malware Detection System.

Authors: Copiaco, Abigail El Neel, Leena Nazzal, Tasnim et al.

Source: Applied Sciences (2076-3417); Dec2023, Vol. 13 Issue 23, p12888, 17p

Subject Terms: GRAYSCALE model, ARTIFICIAL neural networks, MALWARE