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

dc.contributor.author Mohammed Nasereddin
dc.contributor.author Mert Nakıp
dc.contributor.author Erol Gelenbe
dc.contributor.editor E. Bulut , F. Tschorsch , K. Thilakarathna
dc.date.accessioned 2025-10-06T17:49:38Z
dc.date.issued 2023
dc.description.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.
dc.identifier.doi 10.1109/LCN58197.2023.10223358
dc.identifier.isbn 9798350300734
dc.identifier.uri https://www.scopus.com/inward/record.uri?eid=2-s2.0-85164680462&doi=10.1109%2FLCN58197.2023.10223358&partnerID=40&md5=ba84a7ea7daa3d56013e5ff868f65383
dc.identifier.uri https://gcris.yasar.edu.tr/handle/123456789/8547
dc.language.iso English
dc.publisher IEEE Computer Society
dc.relation.ispartof 48th IEEE Conference on Local Computer Networks LCN 2023
dc.subject 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
dc.subject 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
dc.title Measurement Based Evaluation and Mitigation of Flood Attacks on a LAN Test-Bed
dc.type Conference Object
dspace.entity.type Publication
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gdc.description.endpage 4
gdc.description.startpage 1
gdc.identifier.openalex W4386474162
gdc.index.type Scopus
gdc.oaire.diamondjournal false
gdc.oaire.downloads 15
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gdc.oaire.influence 2.409924E-9
gdc.oaire.isgreen true
gdc.oaire.keywords Computer Science - Networking and Internet Architecture
gdc.oaire.keywords Networking and Internet Architecture (cs.NI)
gdc.oaire.keywords FOS: Computer and information sciences
gdc.oaire.keywords Computer Science - Cryptography and Security
gdc.oaire.keywords Cryptography and Security (cs.CR)
gdc.oaire.keywords Internet of Things, Local Area Networks, Cybersecurity, Random Neural Networks, G-Networks, UDP Flood Attacks, Intrusion Detection and Mitigation
gdc.oaire.popularity 2.6549865E-9
gdc.oaire.publicfunded false
gdc.oaire.sciencefields 0202 electrical engineering, electronic engineering, information engineering
gdc.oaire.sciencefields 02 engineering and technology
gdc.oaire.views 15
gdc.openalex.collaboration International
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gdc.opencitations.count 2
gdc.plumx.mendeley 11
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person.identifier.scopus-author-id Nasereddin- Mohammed (57215663527), Nakıp- Mert (57212473263), Gelenbe- Erol (7006026729)
project.funder.name Acknowledgment Support from the European Commission’s H2020 IoTAC Project GA No. 952684 and H2020 DOSS Project GA No. 101120270 is gratefully acknowledged.
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