Flooding Attack: Implementation, Detection, and Prevention for UAV

Faten Al-Abdulwahhab; Uthman Baroudi

doi:10.1109/SSD58187.2023.10411184

Flooding Attack: Implementation, Detection, and Prevention for UAV

Faten Al-Abdulwahhab^*
, Uthman Baroudi

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 Scopus citations

Abstract

Unmanned Aerial Vehicles (UAVs) use is increasing daily, which results in increasing their security threat landscape. A major security threat to availability for network-based devices is Denial of Service (DoS) and Flooding attacks, which impact the system resources and disturb the network communications. For Mobile Ad hoc Networks (MANETs), there are multiple previous works on DoS attacks implementation and mitigation using different techniques. However, the work is limited for 2D networks with little focus on detecting and mitigating such attacks on 3D networks of Flying AdHoc Networks (FANETs). This study focuses on the RREQ flooding attack on a 3D network of drones and proposes a threshold-based detection and mitigation mechanism that considers the drones limited resources. The simulation experiments demonstrate a 34% throughput improvement and 3% energy saving.

Original language	English
Title of host publication	2023 20th International Multi-Conference on Systems, Signals and Devices, SSD 2023
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	263-268
Number of pages	6
ISBN (Electronic)	9798350332568
DOIs	https://doi.org/10.1109/SSD58187.2023.10411184
State	Published - 2023
Event	20th International Multi-Conference on Systems, Signals and Devices, SSD 2023 - Mahdia, Tunisia Duration: 20 Feb 2023 → 23 Feb 2023

Publication series

Name	2023 20th International Multi-Conference on Systems, Signals and Devices, SSD 2023

Conference

Conference	20th International Multi-Conference on Systems, Signals and Devices, SSD 2023
Country/Territory	Tunisia
City	Mahdia
Period	20/02/23 → 23/02/23

Bibliographical note

Publisher Copyright:
© 2023 IEEE.

Keywords

AODV
DoS
FANET
IoD
RREQ
UAV
cybersecurity
drones
flooding attack

ASJC Scopus subject areas

Artificial Intelligence
Computer Science Applications
Computer Networks and Communications
Information Systems
Signal Processing
Health Informatics
Instrumentation

Access to Document

10.1109/SSD58187.2023.10411184

Cite this

Al-Abdulwahhab, F., & Baroudi, U. (2023). Flooding Attack: Implementation, Detection, and Prevention for UAV. In 2023 20th International Multi-Conference on Systems, Signals and Devices, SSD 2023 (pp. 263-268). (2023 20th International Multi-Conference on Systems, Signals and Devices, SSD 2023). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SSD58187.2023.10411184

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title = "Flooding Attack: Implementation, Detection, and Prevention for UAV",

abstract = "Unmanned Aerial Vehicles (UAVs) use is increasing daily, which results in increasing their security threat landscape. A major security threat to availability for network-based devices is Denial of Service (DoS) and Flooding attacks, which impact the system resources and disturb the network communications. For Mobile Ad hoc Networks (MANETs), there are multiple previous works on DoS attacks implementation and mitigation using different techniques. However, the work is limited for 2D networks with little focus on detecting and mitigating such attacks on 3D networks of Flying AdHoc Networks (FANETs). This study focuses on the RREQ flooding attack on a 3D network of drones and proposes a threshold-based detection and mitigation mechanism that considers the drones limited resources. The simulation experiments demonstrate a 34\% throughput improvement and 3\% energy saving.",

keywords = "AODV, DoS, FANET, IoD, RREQ, UAV, cybersecurity, drones, flooding attack",

author = "Faten Al-Abdulwahhab and Uthman Baroudi",

note = "Publisher Copyright: {\textcopyright} 2023 IEEE.; 20th International Multi-Conference on Systems, Signals and Devices, SSD 2023 ; Conference date: 20-02-2023 Through 23-02-2023",

year = "2023",

doi = "10.1109/SSD58187.2023.10411184",

language = "English",

series = "2023 20th International Multi-Conference on Systems, Signals and Devices, SSD 2023",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

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}

Al-Abdulwahhab, F & Baroudi, U 2023, Flooding Attack: Implementation, Detection, and Prevention for UAV. in 2023 20th International Multi-Conference on Systems, Signals and Devices, SSD 2023. 2023 20th International Multi-Conference on Systems, Signals and Devices, SSD 2023, Institute of Electrical and Electronics Engineers Inc., pp. 263-268, 20th International Multi-Conference on Systems, Signals and Devices, SSD 2023, Mahdia, Tunisia, 20/02/23. https://doi.org/10.1109/SSD58187.2023.10411184

Flooding Attack: Implementation, Detection, and Prevention for UAV. / Al-Abdulwahhab, Faten; Baroudi, Uthman.
2023 20th International Multi-Conference on Systems, Signals and Devices, SSD 2023. Institute of Electrical and Electronics Engineers Inc., 2023. p. 263-268 (2023 20th International Multi-Conference on Systems, Signals and Devices, SSD 2023).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

TY - GEN

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AU - Al-Abdulwahhab, Faten

AU - Baroudi, Uthman

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N2 - Unmanned Aerial Vehicles (UAVs) use is increasing daily, which results in increasing their security threat landscape. A major security threat to availability for network-based devices is Denial of Service (DoS) and Flooding attacks, which impact the system resources and disturb the network communications. For Mobile Ad hoc Networks (MANETs), there are multiple previous works on DoS attacks implementation and mitigation using different techniques. However, the work is limited for 2D networks with little focus on detecting and mitigating such attacks on 3D networks of Flying AdHoc Networks (FANETs). This study focuses on the RREQ flooding attack on a 3D network of drones and proposes a threshold-based detection and mitigation mechanism that considers the drones limited resources. The simulation experiments demonstrate a 34% throughput improvement and 3% energy saving.

AB - Unmanned Aerial Vehicles (UAVs) use is increasing daily, which results in increasing their security threat landscape. A major security threat to availability for network-based devices is Denial of Service (DoS) and Flooding attacks, which impact the system resources and disturb the network communications. For Mobile Ad hoc Networks (MANETs), there are multiple previous works on DoS attacks implementation and mitigation using different techniques. However, the work is limited for 2D networks with little focus on detecting and mitigating such attacks on 3D networks of Flying AdHoc Networks (FANETs). This study focuses on the RREQ flooding attack on a 3D network of drones and proposes a threshold-based detection and mitigation mechanism that considers the drones limited resources. The simulation experiments demonstrate a 34% throughput improvement and 3% energy saving.

KW - AODV

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KW - FANET

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KW - RREQ

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KW - cybersecurity

KW - drones

KW - flooding attack

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Al-Abdulwahhab F, Baroudi U. Flooding Attack: Implementation, Detection, and Prevention for UAV. In 2023 20th International Multi-Conference on Systems, Signals and Devices, SSD 2023. Institute of Electrical and Electronics Engineers Inc. 2023. p. 263-268. (2023 20th International Multi-Conference on Systems, Signals and Devices, SSD 2023). doi: 10.1109/SSD58187.2023.10411184

Flooding Attack: Implementation, Detection, and Prevention for UAV

Abstract

Publication series

Conference

Bibliographical note

Keywords

ASJC Scopus subject areas

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Cite this