A Byte Sequence is Worth an Image: CNN for File Fragment Classification Using Bit Shift and n-Gram Embeddings-Reference-Cited by-同舟云学术

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A Byte Sequence is Worth an Image: CNN for File Fragment Classification Using Bit Shift and n-Gram Embeddings

Published:2023-06-11 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE 5th International Conference on Artificial Intelligence Circuits and Systems (AICAS)
language:
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Author:

Liu Wenyang¹,Wang Yi¹,Wu Kejun¹,Yap Kim-Hui¹,Chau Lap-Pui²

Affiliation:

1. Nanyang Technological University,School of Electrical and Electronics Engineering,Singapore

2. The Hong Kong Polytechnic University,Dept. of Electronic and Information Engineering,Hong Kong

Funder

National Research Foundation

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10168547/10168548/10168636.pdf?arnumber=10168636

Reference19 articles.

1. Convolutional Neural Networks for Sentence Classification

2. Densely Connected Convolutional Networks

3. Wide & Deep Learning for Recommender Systems

4. Classification of sentiment reviews using n-gram machine learning approach

5. Deep Residual Learning for Image Recognition

Cited by 3 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. SIFT: Sifting file types—application of explainable artificial intelligence in cyber forensics;Cybersecurity;2024-09-11

2. XMP: A Cross-Attention Multi-Scale Performer for File Fragment Classification;ICASSP 2024 - 2024 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP);2024-04-14

3. ByteRCNN: Enhancing File Fragment Type Identification With Recurrent and Convolutional Neural Networks;IEEE Access;2023

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