Search Results - File-type Identification*

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  1. 1

    File Type Identification of File Fragments using Longest Common Subsequence (LCS) by Rahmat, R F, Nicholas, F, Purnamawati, S, Sitompul, O S

    ISSN: 1742-6588, 1742-6596, 1742-6596
    Published: Bristol IOP Publishing 01.01.2017
    Published in Journal of physics. Conference series (01.01.2017)
    “… Therefore, a method is required for identifying the file type of file fragments. In this research, we propose Longest Common Subsequences that consists of three steps…”
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    Journal Article
  2. 2

    File type identification tools for digital investigations by Dubettier, Adrien, Gernot, Tanguy, Giguet, Emmanuel, Rosenberger, Christophe

    ISSN: 2666-2817, 2666-2825
    Published: Elsevier 01.09.2023
    “… Many commercial and free forensic tools are available for file type identification (FTI). In this work, we assess the performance of ten of them on two significant datasets and scenarios…”
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    Journal Article
  3. 3
  4. 4

    FiFTy: Large-Scale File Fragment Type Identification Using Convolutional Neural Networks by Mittal, Govind, Korus, Pawel, Memon, Nasir

    ISSN: 1556-6013, 1556-6021
    Published: New York IEEE 2021
    “…We present FiFTy, a modern file-type identification tool for memory forensics and data carving…”
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    Journal Article
  5. 5

    File Type Identification - Computational Intelligence for Digital Forensics by Karampidis, Konstantinos, Papadourakis, Giorgos

    ISSN: 1558-7223, 1558-7215, 1558-7223
    Published: Farmville Association of Digital Forensics, Security and Law 01.01.2017
    “…; nevertheless, criminals try to fool authorities and hide evidence in a computer by changing the file type…”
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    Journal Article
  6. 6

    A comparative study of file-type identification techniques by Alamri, Nasser S., Allen, William H.

    ISSN: 1091-0050
    Published: IEEE 01.04.2015
    Published in SoutheastCon 2015 (01.04.2015)
    “…Research in file-type identification has employed a number of different approaches to classify unknown files according to their actual file type…”
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    Conference Proceeding
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  8. 8

    ByteRCNN: Enhancing File Fragment Type Identification With Recurrent and Convolutional Neural Networks by Skracic, Kristian, Petrovic, Juraj, Pale, Predrag

    ISSN: 2169-3536, 2169-3536
    Published: Piscataway IEEE 2023
    Published in IEEE access (2023)
    “…File fragment type identification is an important step in file carving and data recovery…”
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    Journal Article
  9. 9

    FMCNN: Raw-Data Type Identification Using Feature Matrix and CNN by Lee, Eunsu, Yoo, Hoon

    ISSN: 2169-3536, 2169-3536
    Published: Piscataway IEEE 2025
    Published in IEEE access (2025)
    “… Existing file type identification techniques remain inadequate for effectively handling such data…”
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    Journal Article
  10. 10

    Tool type identification for forensic digital document examination by Zia, Muhammad Abdul Moiz, Adedayo, Oluwasola Mary

    ISSN: 2666-2817
    Published: Elsevier Ltd 01.09.2025
    “…Digital documents have become a significant part of our everyday lives. From identity documents to various legal agreements and business communications, the…”
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    Journal Article
  11. 11

    Content-based File-type Identification Using Cosine Similarity and a Divide-and-Conquer Approach by Ahmed, Irfan, Lhee, Kyung-suk, Shin, Hyunjung, Hong, ManPyo

    ISSN: 0256-4602, 0974-5971
    Published: New Delhi Taylor & Francis Ltd 01.11.2010
    Published in Technical review - IETE (01.11.2010)
    “…Identifying the file type (TXT, EXE, JPEG, etc.) is important for computer security applications such as computer forensics, steganalysis, and antivirus programs…”
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    Journal Article
  12. 12

    ITC-MNP: a diverse dataset for image file fragment classification by Tavassoli, Behnam, Naghshbandi, Zhino, Teimouri, Mehdi

    ISSN: 1756-0500, 1756-0500
    Published: London BioMed Central 19.12.2024
    Published in BMC research notes (19.12.2024)
    “…Objectives Image file fragment classification is a critical area of study in digital forensics. However, many publicly available datasets in this field are…”
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    Journal Article
  13. 13

    Content-based File Type Identification by Bhat, Kireet, Lam, Jason T., Zulkernine, Farhana

    Published: IEEE 01.12.2018
    “… As a result, File Type Identification (FTI) has become essential in data pre-processing and security…”
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    Conference Proceeding
  14. 14

    Jpg Scraper : An Advanced Carver for JPEG Files by Uzun, Erkam, Sencar, Husrev Taha

    ISSN: 1556-6013, 1556-6021
    Published: IEEE 2020
    “…Orphaned file fragment carving is concerned with recovering contents of encoded data in the absence of any coding metadata. Constructing an orphaned file…”
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    Journal Article
  15. 15

    Content-based File-type Identification Using Cosine Similarity and a Divide-and-Conquer Approach by Ahmed, Irfan, Lhee, Kyung-suk, Shin, Hyunjung, Hong, ManPyo

    ISSN: 0256-4602, 0974-5971
    Published: Taylor & Francis 01.11.2010
    Published in Technical review - IETE (01.11.2010)
    “…Identifying the file type (TXT, EXE, JPEG, etc.) is important for computer security applications such as computer forensics, steganalysis, and antivirus programs…”
    Get full text
    Journal Article
  16. 16

    LSDStrategy: A Lightweight Software-Driven Strategy for Addressing Big Data Variety of Multimedia Streaming by Khudhur, Saja Dheyaa, Jeiad, Hassan Awheed

    ISSN: 2169-3536, 2169-3536
    Published: Piscataway IEEE 2022
    Published in IEEE access (2022)
    “…Many devices, users, and applications stream an irregular amount of varied data every second. This rapid generation of data continues at an enormous rate,…”
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    Journal Article
  17. 17

    System and Method for File Type Identification Using Machine Learning

    Published: Washington, D.C Targeted News Service 07.10.2025
    Published in Targeted News Service (07.10.2025)
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    Newsletter
  18. 18

    Magika: AI powered fast and efficient file type identification

    Published: Menlo Park Newstex 16.02.2024
    Published in Google Open Source Blog (16.02.2024)
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    Web Resource
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    Distributed autonomous Neuro-Gen Learning Engine for content-based document file type identification by Aaron, Sitompul, Opim Salim, Rahmat, Romi Fadillah

    ISBN: 9781479979738, 1479979732
    Published: IEEE 01.11.2014
    “…A Distributed Autonomous Neuro-Gen Learning Engine (DANGLE) is proposed in this paper for file type identification…”
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    Conference Proceeding