Toward realistic and lightweight intrusion detection for ADS-B: A comprehensive threat model and multi-attack machine learning evaluation

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@article{802ea78b61fa4b41bbea1b0132091645,

title = "Toward realistic and lightweight intrusion detection for ADS-B: A comprehensive threat model and multi-attack machine learning evaluation",

author = "Waqas Ahmed and Ammar Masood and Jawad Manzoor",

year = "2026",

month = sep,

doi = "10.1016/j.array.2026.101012",

language = "English",

journal = "Array",

issn = "2590-0056",

publisher = "Elsevier B.V.",

}

TY - JOUR

T1 - Toward realistic and lightweight intrusion detection for ADS-B: A comprehensive threat model and multi-attack machine learning evaluation

AU - Ahmed, Waqas

AU - Masood, Ammar

AU - Manzoor, Jawad

PY - 2026/9

Y1 - 2026/9

UR - https://doi.org/10.1016/j.array.2026.101012

U2 - 10.1016/j.array.2026.101012

DO - 10.1016/j.array.2026.101012

M3 - Article

SN - 2590-0056

JO - Array

JF - Array

ER -