Measurement Based Evaluation and Mitigation of Flood Attacks on a LAN Test-Bed

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Date

2023

Authors

Mohammed Nasereddin
Mert Nakıp
Erol Gelenbe

Journal Title

Journal ISSN

Volume Title

Publisher

IEEE Computer Society

Open Access Color

Green Open Access

Yes

OpenAIRE Downloads

15

OpenAIRE Views

15

Publicly Funded

No
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Average
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Average
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Average

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Abstract

The IoT is vulnerable to network attacks and Intrusion Detection Systems (IDS) can provide high attack detection accuracy and are easily installed in IoT Servers. However IDS are seldom evaluated in operational conditions which are seriously impaired by attack overload. Thus a Local Area Network testbed is used to evaluate the impact of UDP Flood Attacks on an IoT Server whose first line of defence is an accurate IDS. We show that attacks overload the multi-core Server and paralyze its IDS. Thus a mitigation scheme that detects attacks rapidly and drops packets within milli-seconds after the attack begins is proposed and experimentally evaluated. © 2024 Elsevier B.V. All rights reserved.

Description

Keywords

Cybersecurity, G-networks, Internet Of Things, Intrusion Detection, Local Area Networks, Mitigation, Random Neural Networks, Udp Flood Attacks, Cybersecurity, Floods, Internet Of Things, Local Area Networks, Network Security, Attack Detection, Cyber Security, Flood Attacks, G-networks, Intrusion Detection Systems, Intrusion-detection, Measurement-based, Mitigation, Random Neural Network, Udp Flood Attack, Intrusion Detection, Cybersecurity, Floods, Internet of things, Local area networks, Network security, Attack detection, Cyber security, Flood attacks, G-networks, Intrusion Detection Systems, Intrusion-Detection, Measurement-based, Mitigation, Random neural network, UDP flood attack, Intrusion detection, Computer Science - Networking and Internet Architecture, Networking and Internet Architecture (cs.NI), FOS: Computer and information sciences, Computer Science - Cryptography and Security, Cryptography and Security (cs.CR), Internet of Things, Local Area Networks, Cybersecurity, Random Neural Networks, G-Networks, UDP Flood Attacks, Intrusion Detection and Mitigation

Fields of Science

0202 electrical engineering, electronic engineering, information engineering, 02 engineering and technology

Citation

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OpenCitations Citation Count
2

Source

48th IEEE Conference on Local Computer Networks LCN 2023

Volume

Issue

Start Page

1

End Page

4
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Scopus : 4

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Mendeley Readers : 11

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