Adversarial training driven malicious code detection enhancement method

Adversarial training driven malicious code detection enhancement method

Pokaži ostale verzije (1)

To solve the deficiency of the malicious code detector’s ability to detect adversarial input, an adversarial training driven malicious code detection enhancement method was proposed.Firstly, the applications were preprocessed by a decompiler tool to extract API call features and map them into binary...

Cijeli opis

Bibliografski detalji
Glavni autori: Yanhua LIU, Jiaqi LI, Zhengui OU, Xiaoling GAO, Ximeng LIU, Weizhi MENG, Baoxu LIU
Format: Članak
Jezik:zho
Izdano: Editorial Department of Journal on Communications 2022-09-01
Serija:Tongxin xuebao
Teme:
adversarial training
detection enhancement
generative adversarial network
perturbation reduction
Online pristup:http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2022171/

Internet

http://www.joconline.com.cn/zh/article/doi/10.11959/j.issn.1000-436x.2022171/

Slični predmeti