A Machine Learning-Driven Analysis of Phantom E911 Calls (Journal Article) | NSF PAGES

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Citation Details

A Machine Learning-Driven Analysis of Phantom E911 Calls

Authors:: Hu, Yang; Taki, Batoul; Bajwa, Waheed U.; Talasila, Manoop; Mantan, Mukesh; Aftab, Syed Anwar

Award ID(s):: 1907658

Publication Date:: 2022-05-16

NSF-PAR ID:: 10378827

Journal Name:: ACM Workshop Wireless Security and Machine Learning (WiseML'22)

Page Range or eLocation-ID:: 69-74

Sponsoring Org:: National Science Foundation

Free Publicly Accessible Full Text
Accepted Manuscript1.0
Publisher's Version of Record
https://doi.org/10.1145/3522783.3529527