Measurement Based Evaluation and Mitigation of Flood Attacks on a LAN Test-Bed
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Date
2023
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
IEEE COMPUTER SOC
Open Access Color
Green Open Access
Yes
OpenAIRE Downloads
15
OpenAIRE Views
15
Publicly Funded
No
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 test-bed 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.
Description
ORCID
Keywords
Internet of Things, Local Area Networks, Cybersecurity, Random Neural Networks, G-Networks, UDP Flood Attacks, Intrusion Detection and Mitigation, Mitigation, Random Neural Networks, Internet of Things, G-networks, UDP Flood Attacks, Intrusion Detection and Mitigation, Intrusion Detection, Local Area Networks, Cybersecurity, 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
WoS Q
Scopus Q

OpenCitations Citation Count
2
Source
48th Conference on Local Computer Networks
Volume
Issue
Start Page
1
End Page
4
PlumX Metrics
Citations
Scopus : 4
Captures
Mendeley Readers : 11
SCOPUS™ Citations
4
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