Author:
Chen Qian,Hui Lucas C.K.,Liu Dong,Zhang En,Liao Qing,Jiang Zoe L.,Fang Junbin,Yiu Siuming,Xi Guikai,Li Rong,Yi Zhengzhong,Wang Xuan
Cited by
17 articles.
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1. File Fragment Analysis Using Machine Learning;2023 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech);2023-11-14
2. SIFT – File Fragment Classification Without Metadata;2023 3rd International Conference on Computing and Information Technology (ICCIT);2023-09-13
3. Image Representation and Deep Inception-Attention for File-type and Malware Classification;2023 IEEE International Symposium on Circuits and Systems (ISCAS);2023-05-21
4. File Fragment Type Identification Based on CNN and LSTM;Proceedings of the 2023 7th International Conference on Digital Signal Processing;2023-02-17
5. ByteRCNN: Enhancing File Fragment Type Identification With Recurrent and Convolutional Neural Networks;IEEE Access;2023