Adaptive Artificial Immune Networks for Mitigating DoS Flooding Attacks

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dc.contributor.authorMaestre Vidal, Jorge
dc.contributor.authorSandoval Orozco, Ana Lucila
dc.contributor.authorGarcía Villalba, Luis Javier
dc.date.accessioned2024-02-02T15:54:15Z
dc.date.available2024-02-02T15:54:15Z
dc.date.issued2018-02-01
dc.description.abstractDenial of service attacks pose a threat in constant growth. This is mainly due to their tendency to gain in sophistication, ease of implementation, obfuscation and the recent improvements in occultation of fingerprints. On the other hand, progress towards self-organizing networks, and the different techniques involved in their development, such as software-defined networking, network-function virtualization, artificial intelligence or cloud computing, facilitates the design of new defensive strategies, more complete, consistent and able to adapt the defensive deployment to the current status of the network. In order to contribute to their development, in this paper, the use of artificial immune systems to mitigate denial of service attacks is proposed. The approach is based on building networks of distributed sensors suited to the requirements of the monitored environment. These components are capable of identifying threats and reacting according to the behavior of the biological defense mechanisms in human beings. It is accomplished by emulating the different immune reactions, the establishment of quarantine areas and the construction of immune memory. For their assessment, experiments with public domain datasets (KDD’99, CAIDA’07 and CAIDA’08) and simulations on various network configurations based on traffic samples gathered by the University Complutense of Madrid and flooding attacks generated by the tool DDoSIM were performed.
dc.description.departmentDepto. de Ingeniería de Software e Inteligencia Artificial (ISIA)
dc.description.facultyFac. de Informática
dc.description.refereedTRUE
dc.description.statuspub
dc.identifier.citationJ. Maestre Vidal, A. L. Sandoval Orozco, L. J. García Villalba: Adaptive Artificial Immune Networks for Mitigating DoS Flooding Attacks. Swarm and Evolutionary Computation. Vol. 38, pp. 3894-108, February 2018.
dc.identifier.doi10.1016/j.swevo.2017.07.002
dc.identifier.officialurlhttps://www.sciencedirect.com/science/article/pii/S2210650216304679
dc.identifier.urihttps://hdl.handle.net/20.500.14352/98419
dc.journal.titleSwarm and Evolutionary Computation
dc.language.isoeng
dc.page.final108
dc.page.initial94
dc.publisherElsevier
dc.rights.accessRightsopen access
dc.subject.keywordAnomalies
dc.subject.keywordArtificial immune system
dc.subject.keywordDenial of Service
dc.subject.keywordForecasting
dc.subject.keywordIntrusion detection system
dc.subject.keywordNetwork
dc.subject.ucmInformática (Informática)
dc.subject.unesco1203.17 Informática
dc.titleAdaptive Artificial Immune Networks for Mitigating DoS Flooding Attacks
dc.typejournal article
dc.volume.number38
dspace.entity.typePublication
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relation.isAuthorOfPublication0f67f6b3-4d2f-4545-90e1-95b8d9f3e1f0
relation.isAuthorOfPublication.latestForDiscoverydea44425-99a5-4fef-b005-52d0713d0e0d
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