Suchergebnisse - "File Type Identification"

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

“… 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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A comparative study of support vector machine and neural networks for file type identification using n-gram analysis von Sester, Joachim, Hayes, Darren, Scanlon, Mark, Le-Khac, Nhien-An

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

“… Computer forensic analyst is a person in charge of investigation and evidence tracking. In certain cases, the file needed to be presented as digital evidence …”
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File Type Identification - Computational Intelligence for Digital Forensics von Karampidis, Konstantinos, Papadourakis, Giorgos

“… In modern world, the use of digital devices for leisure or professional reasons is growing quickly; nevertheless, criminals try to fool authorities and hide …”
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A comparative study of file-type identification techniques von Alamri, Nasser S., Allen, William H.

“… 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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Content-based File Type Identification von Bhat, Kireet, Lam, Jason T., Zulkernine, Farhana

“… As a result, File Type Identification (FTI) has become essential in data pre-processing and security …”
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Content-based File-type Identification Using Cosine Similarity and a Divide-and-Conquer Approach von Ahmed, Irfan, Lhee, Kyung-suk, Shin, Hyunjung, Hong, ManPyo

“… Identifying the file type (TXT, EXE, JPEG, etc.) is important for computer security applications such as computer forensics, steganalysis, and antivirus …”
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Jpg Scraper : An Advanced Carver for JPEG Files von Uzun, Erkam, Sencar, Husrev Taha

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

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

“… Existing file type identification techniques remain inadequate for effectively handling such data …”
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Content-based File-type Identification Using Cosine Similarity and a Divide-and-Conquer Approach von Ahmed, Irfan, Lhee, Kyung-suk, Shin, Hyunjung, Hong, ManPyo

“… Identifying the file type (TXT, EXE, JPEG, etc.) is important for computer security applications such as computer forensics, steganalysis, and antivirus …”
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Tool type identification for forensic digital document examination von Zia, Muhammad Abdul Moiz, Adedayo, Oluwasola Mary

“… 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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System and Method for File Type Identification Using Machine Learning

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

“… 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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Magika: AI powered fast and efficient file type identification

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Feature selection based file type identification algorithm von Ding Cao, Junyong Luo, Meijuan Yin, Huijie Yang

“… Identifying the true type of an arbitrary file is very important in information security. Methods based on file extensions or magic numbers can be easily …”
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US Patent Issued to ATOMBEAM TECHNOLOGIES on Oct. 7 for "System and method for file type identification using machine learning" (California, South Carolina Inventors)

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Distributed autonomous Neuro-Gen Learning Engine for content-based document file type identification von Aaron, Sitompul, Opim Salim, Rahmat, Romi Fadillah

“… A Distributed Autonomous Neuro-Gen Learning Engine (DANGLE) is proposed in this paper for file type identification …”
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Statistical Learning for File-Type Identification von Gopal, S., Yiming Yang, Salomatin, K., Carbonell, J.

“… File-type Identification (FTI) is an important problem in digital forensics, intrusion detection, and other related fields …”
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File Type Identification of Data Fragments by Their Binary Structure von Karresand, M., Shahmehri, N.

“… Rapidly gaining information superiority is vital when fighting an enemy, but current computer forensics tools, which require file headers or a working file …”
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