FeCo: Boosting intrusion detection capability in IoT networks via contrastive learning

N Wang, Y Chen, Y Hu, W Lou… - IEEE INFOCOM 2022 …, 2022 - ieeexplore.ieee.org
Over the last decade, Internet of Things (IoT) has permeated our daily life with a broad range
of applications. However, a lack of sufficient security features in IoT devices renders IoT …
被引用次数：18 相关文章
[PDF] vt.edu

[PDF][PDF] FeCo: Boosting Intrusion Detection Capability in IoT Networks via Contrastive Learning

N Wang, Y Chen, Y Hu, W Lou, YT Hou - cnsr.ictas.vt.edu
Over the last decade, Internet of Things (IoT) has permeated our daily life with a broad range
of applications. However, a lack of sufficient security features in IoT devices renders IoT …

FeCo: Boosting Intrusion Detection Capability in IoT Networks via Contrastive Learning

N Wang, Y Chen, Y Hu, W Lou, YT Hou - IEEE INFOCOM 2022-IEEE …, 2022 - dl.acm.org
Over the last decade, Internet of Things (IoT) has permeated our daily life with a broad range
of applications. However, a lack of sufficient security features in IoT devices renders IoT …
[PDF] github.io

[PDF][PDF] FeCo: Boosting Intrusion Detection Capability in IoT Networks via Contrastive Learning

N Wang, Y Chen, Y Hu, W Lou, YT Hou - ning-wang1.github.io
Over the last decade, Internet of Things (IoT) has permeated our daily life with a broad range
of applications. However, a lack of sufficient security features in IoT devices renders IoT …
[PDF] nsf.gov

[PDF][PDF] FeCo: Boosting Intrusion Detection Capability in IoT Networks via Contrastive Learning

N Wang, Y Chen, Y Hu, W Lou, YT Hou - IEEE INFOCOM 2022-IEEE …, 2022 - par.nsf.gov
O ver t he l ast dec a de, I nter net of T hi n gs (I o T) h as per me ate do ur d ail y life wit ha br
oadran ge of ap plic ati o ns. H o we ver, al ac k of s uf ficie nt sec urit y fe at ures in I o T de …