| Title: |
PASID: Exploiting Indoor mmWave Deployments for Passive Intrusion Detection |
| Authors: |
Devoti, F; Sciancalepore, V; Filippini, I; Costa-Perez, X |
| Contributors: |
Devoti, F; Sciancalepore, V; Filippini, I; Costa-Perez, X |
| Publisher Information: |
IEEE; 345 E 47TH ST, NEW YORK, NY 10017 USA |
| Publication Year: |
2020 |
| Collection: |
RE.PUBLIC@POLIMI - Research Publications at Politecnico di Milano |
| Description: |
As 5G deployments start to roll-out, indoor solutions are increasingly pressed towards delivering a similar user experience. Wi-Fi is the predominant technology of choice indoors and major vendors started addressing this need by incorporating the mmWave band to their products. In the near future, mmWave devices are expected to become pervasive, opening up new business opportunities to exploit their unique properties.In this paper, we present a novel PASsive Intrusion Detection system, namely PASID, leveraging on already deployed indoor mmWave communication systems. PASID is a software module that runs in off-the-shelf mmWave devices. It automatically models indoor environments in a passive manner by exploiting regular beamforming alignment procedures and detects intruders with a high accuracy. We model this problem analytically and show that for dynamic environments machine learning techniques are a cost-efficient solution to avoid false positives. PASID has been implemented in commercial off-the-shelf devices and deployed in an office environment for validation purposes. Our results show its intruder detection effectiveness (similar to 99% accuracy) and localization potential (similar to 2 meters range) together with its negligible energy increase cost (similar to 2%). |
| Document Type: |
conference object |
| Language: |
English |
| Relation: |
info:eu-repo/semantics/altIdentifier/isbn/978-1-7281-6413-7; info:eu-repo/semantics/altIdentifier/wos/WOS:000620945800150; ispartofbook:Proceedings of IEEE International Conference on Computer Communications 2020, INFOCOM 2020; IEEE International Conference on Computer Communications 2020, INFOCOM 2020; firstpage:1479; lastpage:1488; numberofpages:10; serie:PROCEEDINGS - IEEE INFOCOM; http://hdl.handle.net/11311/1170587 |
| DOI: |
10.1109/INFOCOM41043.2020.9155401 |
| Availability: |
http://hdl.handle.net/11311/1170587; https://doi.org/10.1109/INFOCOM41043.2020.9155401 |
| Rights: |
info:eu-repo/semantics/openAccess |
| Accession Number: |
edsbas.B4C09CE4 |
| Database: |
BASE |