Results 21 to 30 of about 44,421 (291)

Automating Video File Carving and Content Identification [PDF]

, 2013
The massive amount of illegal content, especially images and videos, encountered in forensic investigations requires the development of tools that can automatically recover and analyze multimedia data from seized storage devices. However, most forensic analysis processes are still done manually or require continuous human interaction.
York Yannikos, Nadeem Ashraf, Martin Steinebach, Christian Winter   +3 more
openalex   +4 more sources

File Carving: Analyzing Data Retrieval in Digital Forensics

International Journal of Computer and Information Technology(2279-0764)
In the current scenario, mostly the data are stored in digital media. Managing the storage and security of huge volume of data is emerging as a significant challenge for data science researchers and engineers. As data is considered as more costly and powerful than anything else, so during damage or loss of data thousands of dollars are being invested ...
Purna Chandra Sethi
openalex   +3 more sources

Analisis Perbandingan File Carving Dengan Metode Nist

Jurnal Sains Komputer dan Teknologi Informasi, 2020
Pemulihan data adalah bagian terpenting dari Digital Forensic. Bagi penyidik ??negara untuk menghasilkan bukti yang sah di pengadilan sangat penting dan wajib. Memori Flash, Hard Disk Drive (HDD) dan Solid State Drive (SDD) adalah beberapa Media Penyimpanan yang digunakan sebagai tempat untuk meletakkan semua jenis data dan informasi dalam berbagai ...
Doddy Teguh Yuwono, W Yunanri
openalex   +3 more sources

Transformer-Based File Fragment Type Classification for File Carving in Digital Forensics

European Conference on Cyber Warfare and Security
The recovery and reconstruction of fragmented data is a critical challenge in digital forensics, particularly when dealing with incomplete, corrupted, or partially deleted files in large-scale cybercrime investigations. Accurate classification of file fragment types is essential for reconstructing critical evidence, especially in environments ...
Andrey Guzhov, Christoph Tobias Wirth
openalex   +3 more sources

A Survey on Multimedia File Carving

International Journal of Computer Science & Engineering Survey, 2015
Raj Kumar Pahade, Bhupendra Singh, Upasna Singh   +2 more
openalex   +2 more sources

The File Carving Method for Category B Images

International Journal of Advanced Trends in Computer Science and Engineering, 2020
Anandabrata Nasir Memon, Pal, K Srinivas, T Venugopal, K Srinivas, T Venugopal, Andreas Dewald, Sabine Seufert, Anadabrata Pal, Nasir Memon, T: Husrev, Nasir Sencar, Memon, Kulesh Shanmugasundaram, Nasir Memon, Emre Durmus_, Manoranjan Mohantyy, Samet Taspinary ; Salasiah, M Mokri, Abdul Iqbal Saripan, Mohammad Jalil Nordin, Noraishikin Hamiruce, Zulkarnain, Rafidah Muhamad1, A Azurah, ; Samah2, Nik Azmi Nik Mahmood6, Dewi Nasien7, M   +28 more
openalex   +2 more sources

Hash-based carving: Searching media for complete files and file fragments with sector hashing and hashdb

Digital Investigation, 2015
Simson Garfinkel, Michael McCarrin
openalex   +3 more sources

RX_myKarve carving framework for reassembling complex fragmentations of JPEG images

Journal of King Saud University: Computer and Information Sciences, 2021
Digital forensic aims to provide an assistance for making decisions about a crime by looking at a file content which usually involves image files such as GIF, BMP, JPEG and etc. JPEG is a very popular image file format.
Rabei Raad Ali, Kamaruddin Malik Mohamad
doaj   +1 more source

Syntactical method for reconstructing highly fragmented OOXML files

Радіоелектронні і комп'ютерні системи, 2023
A common task in computer forensics is to recover files that lack file system metadata. In the case of searching for file fragments in unallocated space, file carving is the most often used method, which is ideal for unfragmented data.
Maksym Boiko, Viacheslav Moskalenko
doaj   +1 more source

ByteRCNN: Enhancing File Fragment Type Identification With Recurrent and Convolutional Neural Networks

IEEE Access, 2023
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 problem, some with very promising results.
Kristian Skracic, Juraj Petrovic, Predrag Pale   +2 more
doaj   +1 more source