ACM TRUST 2027 · March 7–9, 2027 · Washington DC
Call for Papers — EA Track

AI-based Secure Sensor Networks

Sensor networks now carry the weight of smart cities, healthcare, and defense — and their distributed nature makes every node a potential point of failure. This track is for the researchers building the AI that detects, authenticates, and defends at the edge.

Abstract Reg.
Oct 24, 2026
Paper Due
Oct 31, 2026
Page Limit
9 pages
Review
Double-blind
Description

Where AI meets the edge of trust

Sensor networks are foundational to modern cyber-physical systems — smart cities, healthcare monitoring, environmental sensing, industrial automation, and defense. Their distributed nature also makes them highly exposed: data spoofing, node capture, adversarial attacks, and communication interception are not hypothetical risks, they're routine.

AI at the edge changes the equation. Real-time anomaly detection, adaptive authentication, intrusion prevention, and autonomous response are now within reach of constrained devices — not just data centers.

This EA Track brings together the AI, cybersecurity, and IoT communities to advance both the theory and the deployed reality of trustworthy intelligent sensing systems.

node_telemetry.loglive
sensor-node · 0x4F2Aauthenticated
traffic pattern · edge-clusternominal
packet · 0x91C — spoofed originflagged
model responsequarantined
sensor-node · 0x1DE7authenticated
Track Topics

Scope of the track

Submissions are confined to the following ten areas. Each card marks a node in the same research space.

Important Dates

Deadlines

All deadlines are firm. Times follow AoE unless the submission system states otherwise.

Submission & Publication

What to prepare

9 pp.
Max length, including appendix. References and the GenAI Usage Disclosure are unlimited.
2-col
ACM SIGCONF template, submitted as PDF.
Blind
Double-blind review. Omit author names, affiliations, and obvious self-references.
ACM DL
Accepted papers indexed in EI Compendex and Scopus.

Ready to submit? Manuscripts go through Microsoft CMT under the TRUST 2027 conference listing.

Open Submission Portal →
Track Chairs

Organized by

Track Chair
Imran Sarwar Bajwa
Islamia University Bahawalpur, Pakistan
Track Chair
Ahmad Lotfi
Nottingham Trent University, United Kingdom