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Joint Semantic Transfer Network for IoT Intrusion Detection. (arXiv:2210.15911v1 [cs.CR])
Oct. 31, 2022, 1:20 a.m. | Jiashu Wu, Yang Wang, Binhui Xie, Shuang Li, Hao Dai, Kejiang Ye, Chengzhong Xu
cs.CR updates on arXiv.org arxiv.org
In this paper, we propose a Joint Semantic Transfer Network (JSTN) towards
effective intrusion detection for large-scale scarcely labelled IoT domain. As
a multi-source heterogeneous domain adaptation (MS-HDA) method, the JSTN
integrates a knowledge rich network intrusion (NI) domain and another
small-scale IoT intrusion (II) domain as source domains, and preserves
intrinsic semantic properties to assist target II domain intrusion detection.
The JSTN jointly transfers the following three semantics to learn a
domain-invariant and discriminative feature representation. The scenario
semantic …
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