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http://hdl.handle.net/10071/17538
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Title: SDN-based intrusion detection system for early detection and mitigation of DDoS attacks
Authors: Manso, P.
Moura, J.
Serrão, C.
Keywords: SDN
DDoS
IDS
Mirroring
OpenFlow
Botnet
Issue Date: 2019
Publisher: MDPI AG
Abstract: The current paper addresses relevant network security vulnerabilities introduced by network devices within the emerging paradigm of Internet of Things (IoT) as well as the urgent need to mitigate the negative effects of some types of Distributed Denial of Service (DDoS) attacks that try to explore those security weaknesses. We design and implement a Software-Defined Intrusion Detection System (IDS) that reactively impairs the attacks at its origin, ensuring the “normal operation” of the network infrastructure. Our proposal includes an IDS that automatically detects several DDoS attacks, and then as an attack is detected, it notifies a Software Defined Networking (SDN) controller. The current proposal also downloads some convenient traffic forwarding decisions from the SDN controller to network devices. The evaluation results suggest that our proposal timely detects several types of cyber-attacks based on DDoS, mitigates their negative impacts on the network performance, and ensures the correct data delivery of normal traffic. Our work sheds light on the programming relevance over an abstracted view of the network infrastructure to timely detect a Botnet exploitation, mitigate malicious traffic at its source, and protect benign traffic.
Peer reviewed: yes
URI: http://hdl.handle.net/10071/17538
DOI: 10.3390/info10030106
ISSN: 2078-2489
Ciência-IUL: https://ciencia.iscte-iul.pt/id/ci-pub-57599
Accession number: WOS:000464296000001
Appears in Collections:IT-RI - Artigo em revista internacional com arbitragem científica
ISTAR-RI - Artigos em revistas científicas internacionais com arbitragem científica

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