Malware Detection Using Big Data and Deep Learning
Author:
Publisher
Springer Nature Singapore
Link
https://link.springer.com/content/pdf/10.1007/978-981-99-5974-7_27
Reference16 articles.
1. Gupta DKD, Dasgupta Z (2021) Akhtar: determining sequence of image processing technique (IPT) to detect adversarial attacks. SN Comput Sci 2:383–383
2. Vasan D, Alazab M, Wassan S, Naeem H, Safaei B, Zheng Q (2020) IMCFN: Image-based malware classification using fine-tuned convolutional neural network architecture. Comput Netw 171:107138–107138
3. Oyama Y, Miyashita T, Kokubo H (2019) Identifying useful features for malware detection in the ember dataset. In: Seventh international symposium on computing and networking workshops, pp 2019–2019
4. Masabo E, Kaawaase KS, Sansa-Otim J (2019) Big data: deep learning for detecting malware. In: 2018 ACM/IEEE symposium on software engineering in Africa, pp 20–26
5. Ramilli M (2016) Malware training sets: a machine learning dataset for everyone. Online (2016)
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