Back to search

Article

HIFN-Mamba: Hybrid Information Flow Networks with Selective State-Space Sequence Modeling for Intrusion Detection in the Internet of Medical Things

2026-06-17

Abstract excerpt

<title>Abstract</title> <p>The exponential growth of the Internet of Medical Things (IoMT) — a multi-billion-device infrastructure of clinically critical sensors, monitors, and connected medical equipment — has dramatically expanded the attack surface for ransomware, lateral-movement, and protocol-specific exploits against healthcare networks. Existing deep-learning intrusion detection systems (IDSs) for this dom...

Topics

Open a Topic to create a Post that cites this publication.

Identifiers and source

Literature Corpus work
b287011b-d6a6-5395-aff9-c67ec4cfa989
DOI
10.21203/rs.3.rs-9672896/v1
Open publication

Related research

Semantic proximity does not establish scientific evidence.

Click a neighbor to travelStep 1 · 12 closest
Interactive article relationship graphSelect a related publication card to move it into the centre and load its closest explainable connections. Solid lines are source-backed structured connections. Dashed lines are semantic discovery signals and are not scientific evidence.
HIFN-Mamba: Hybrid Information Flow Networks with Selective State-Space Sequence Modeling for Intrusion Detection in the Internet of Medical ThingsDOI 10.21203/rs.3.rs-9672896/v1
Select a neighboring publication to make it the new centre.