AI Robustness against Attacks in City-Scale Autonomous Drone Deployments

Abdul-Rasheed  Ottun; Adeyinka Akintola; Mohan Liyanage; Michell Boerger; Pan Hui; Sasu Tarkoma; Nikolay  Tcholtchev; Petteri Nurmi; Huber Flores

doi:10.1109/MC.2024.3461841

AI Robustness against Attacks in City-Scale Autonomous Drone Deployments

Abdul-Rasheed Ottun, Adeyinka Akintola, Mohan Liyanage, Michell Boerger, Pan Hui, Sasu Tarkoma, Nikolay Tcholtchev, Petteri Nurmi, Huber Flores

Research output: Contribution to journal › Article › Scientific › peer-review

Abstract

We analyze the impact of poisoning attacks on autonomous drones and demonstrate how explainable artificial intelligence techniques can be employed to detect them. We then delve into the risks, opportunities, and research challenges, ultimately paving the way for city-scale deployments of autonomous drones.

Original language	English
Journal	Computer : a publication of the IEEE Computer Society
Volume	57
Issue number	12
Pages (from-to)	47-57
Number of pages	11
ISSN	0018-9162
DOIs	https://doi.org/10.1109/MC.2024.3461841
Publication status	Published - Dec 2024
MoE publication type	A1 Journal article-refereed

Fields of Science

113 Computer and information sciences
Adversarial machine learning
Analytical models
Artificial intelligence
Autonomous robots
Computational modeling
Drones
Explainable AI
Location awareness
Navigation
Product delivery
Risk management
Robustness
Safety
Service robots
Surveillance
Urban areas

Access to Document

10.1109/MC.2024.3461841

AI_Robustness_against_Attacks_in_City_Scale_Autonomous_Drone_Deployments_OttunAccepted author manuscript, 3.14 MB

Foundations of Pervasive Sensing Systems
Nurmi, P. (Principal Investigator)
01/09/2021 → 31/08/2025
Project: Research Council of Finland: Academy Project

Cite this

@article{403e552fd0a644f8a8b5f0d79a696511,

title = "AI Robustness against Attacks in City-Scale Autonomous Drone Deployments",

abstract = "We analyze the impact of poisoning attacks on autonomous drones and demonstrate how explainable artificial intelligence techniques can be employed to detect them. We then delve into the risks, opportunities, and research challenges, ultimately paving the way for city-scale deployments of autonomous drones.",

keywords = "113 Computer and information sciences, Adversarial machine learning, Analytical models, Artificial intelligence, Autonomous robots, Computational modeling, Drones, Explainable AI, Location awareness, Navigation, Product delivery, Risk management, Robustness, Safety, Service robots, Surveillance, Urban areas",

author = "Abdul-Rasheed Ottun and Adeyinka Akintola and Mohan Liyanage and Michell Boerger and Pan Hui and Sasu Tarkoma and Nikolay Tcholtchev and Petteri Nurmi and Huber Flores",

year = "2024",

month = dec,

doi = "10.1109/MC.2024.3461841",

language = "English",

volume = "57",

pages = "47--57",

journal = "Computer : a publication of the IEEE Computer Society",

issn = "0018-9162",

publisher = "IEEE Computer Society",

number = "12",

}

TY - JOUR

T1 - AI Robustness against Attacks in City-Scale Autonomous Drone Deployments

AU - Ottun, Abdul-Rasheed

AU - Akintola, Adeyinka

AU - Liyanage, Mohan

AU - Boerger, Michell

AU - Hui, Pan

AU - Tarkoma, Sasu

AU - Tcholtchev, Nikolay

AU - Nurmi, Petteri

AU - Flores, Huber

PY - 2024/12

Y1 - 2024/12

N2 - We analyze the impact of poisoning attacks on autonomous drones and demonstrate how explainable artificial intelligence techniques can be employed to detect them. We then delve into the risks, opportunities, and research challenges, ultimately paving the way for city-scale deployments of autonomous drones.

AB - We analyze the impact of poisoning attacks on autonomous drones and demonstrate how explainable artificial intelligence techniques can be employed to detect them. We then delve into the risks, opportunities, and research challenges, ultimately paving the way for city-scale deployments of autonomous drones.

KW - 113 Computer and information sciences

KW - Adversarial machine learning

KW - Analytical models

KW - Artificial intelligence

KW - Autonomous robots

KW - Computational modeling

KW - Drones

KW - Explainable AI

KW - Location awareness

KW - Navigation

KW - Product delivery

KW - Risk management

KW - Robustness

KW - Safety

KW - Service robots

KW - Surveillance

KW - Urban areas

U2 - 10.1109/MC.2024.3461841

DO - 10.1109/MC.2024.3461841

M3 - Article

SN - 0018-9162

VL - 57

SP - 47

EP - 57

JO - Computer : a publication of the IEEE Computer Society

JF - Computer : a publication of the IEEE Computer Society

IS - 12

ER -

AI Robustness against Attacks in City-Scale Autonomous Drone Deployments

Abstract

Fields of Science

Access to Document

Projects

Foundations of Pervasive Sensing Systems

Cite this