Search Results - File-type classification*

Sceadan: Using Concatenated N-Gram Vectors for Improved File and Data Type Classification by Beebe, Nicole L., Maddox, Laurence A., Lishu Liu, Minghe Sun

“…Over 20 studies have been published in the past decade involving file and data type classification for digital forensics and information security applications…”
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Image Representation and Deep Inception-Attention for File-type and Malware Classification by Wang, Yi, Wu, Kejun, Liu, Wenyang, Yap, Kim-Hui, Chau, Lap-Pui

“…File-type classification aims to recognize the file types of files/fragments without file-system metadata, which is essential for memory forensics and data recovery…”
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File Type Classification based on Data Fragments from Compressed Archives for Digital Forensics by Saleh, Mariam M., Wang, Alexander, AlSlaiman, Muhanned, Salman, Mohammed

“…This paper presents a novel deep learning approach to classifying file types based on file fragments from compressed archive files for digital forensics such as analyzing IoT traffic…”
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FiFTy: Large-Scale File Fragment Type Identification Using Convolutional Neural Networks by Mittal, Govind, Korus, Pawel, Memon, Nasir

“…We present FiFTy, a modern file-type identification tool for memory forensics and data carving…”
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Improving file-type classification by enhancing feature selection by Alamri, Nasser Saad

“… a file’s type based upon its contents. We investigated ways to improve the performance of data classification techniques by improving the selection of the features to be used as input to the classifiers…”
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PNG Data Detector for DECA by Odogwu, Kingson Chinedu, Gladyshev, Pavel, Habibnia, Babak

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File Type Classification for Adaptive Object File System by Phunchongharn, P., Pornnapa, S., Achalakul, T.

“…). The design of the file type classification module in AOFS is emphasized. The design attempts to increase the efficiency through the dynamic tuning technique, which automatically classifies files using attributes and access pattern…”
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Transformer-Based File Fragment Type Classification for File Carving in Digital Forensics by Guzhov, Andrey, Wirth, Christoph Tobias

“… Accurate classification of file fragment types is essential for reconstructing critical evidence, especially in environments characterized by high levels of data fragmentation, such as cyberattack…”
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File fragment encoding classification—An empirical approach by Roussev, Vassil, Quates, Candice

“… Throughout, it has been an article of faith that data fragments, such as disk blocks, can be attributed to different file types…”
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NextLabs Announces 2.0 Release of Smart Classifier -- a Rule-based Document Classification Server: File Type Agnostic Persistent Document Tagging Engine to Automate Classification of Documents Across Repositories

“… Supports incremental changes in real time Ability to perform classification based on selective parts of documents - header, footer, body or metadata High speed content scanning engine to process large…”
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ITC-MNP: a diverse dataset for image file fragment classification by Tavassoli, Behnam, Naghshbandi, Zhino, Teimouri, Mehdi

“…Objectives Image file fragment classification is a critical area of study in digital forensics…”
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File Fragment Type Classification Using Light-Weight Convolutional Neural Networks by Felemban, Muhamad, Ghaleb, Mustafa, Saaim, Kunwar, AlSaleh, Saleh, Almulhem, Ahmad

“… Existing models for file fragment type classification often require significant computational resources due to their large number of parameters, leading to slower inference times and higher memory consumption…”
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A New Approach to Multimedia Files Carving by Weidong Qiu, Run Zhu, Jie Guo, Xiaoming Tang, Bozhong Liu, Zheng Huang

“… The fragmented files can be recovered by a hierarchical carving process, including file header identification via entropy, file fragment type classification, and file reassembly via parallel unique path approach…”
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A Hybrid Model for Load Balancing in Cloud Using File Type Formatting by Junaid, Muhammad, Sohail, Adnan, Ahmed, Adeel, Baz, Abdullah, Khan, Imran Ali, Alhakami, Hosam

“…Maintaining accuracy in load balancing using metaheuristics is a difficult task even with the help of recent hybrid approaches. In the existing literature,…”
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Intra- and inter-sector contextual information fusion with joint self-attention for file fragment classification by Wang, Yi, Liu, Wenyang, Wu, Kejun, Yap, Kim-Hui, Chau, Lap-Pui

“…File fragment classification (FFC) aims to identify the file type of file fragments in memory sectors, which is of great importance in memory forensics and information security…”
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Optimized File Type Detection and One-Shot Retrieval by Lisker, Simona, Butman, Ayelet, Hajaj, Chen, Dubin, Ran, Dvir, Amit

“…File type classification is critical in digital forensics, and file carving. However, the increasing diversity of file formats challenges accurate classification…”
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High photosensitivity light-controlled planar ZnO artificial synapse for neuromorphic computing by Xiao, Wei, Shan, Linbo, Zhang, Haitao, Fu, Yujun, Zhao, Yanfei, Yang, Dongliang, Jiao, Chaohui, Sun, Guangzhi, Wang, Qi, He, Deyan

“… owing to the possible abilities of high bandwidth and low power calculation. However, the low photosensitivity of synapse devices can affect the accuracy of recognition and classification in neuromorphic computing tasks…”
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A Neural Network Approach to a Grayscale Image-Based Multi-File Type Malware Detection System by Copiaco, Abigail, El Neel, Leena, Nazzal, Tasnim, Mukhtar, Husameldin, Obaid, Walid

“…This study introduces an innovative all-in-one malware identification model that significantly enhances convenience and resource efficiency in classifying malware across diverse file types…”
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Content-based File Type Identification by Bhat, Kireet, Lam, Jason T., Zulkernine, Farhana

“… We present an end-to-end framework combining signature and content-based file type classification…”
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Multi-file dynamic compression method based on classification algorithm in DNA storage by Bi, Kun, Xu, Qi, Lai, Xin, Zhao, Xiangwei, Lu, Zuhong

“… This study proposes a multi-file dynamic compression method based on machine learning classification algorithms that selects the appropriate compression method for each file to minimize the amount…”
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