Intrusion detection system using distributed multilevel discriminator in GAN for IoT system
<p dir="ltr">The artificial intelligence‐based Internet of vehicles (IoV) systems are highly susceptible to cyber‐attacks. To reap the benefits from IoV applications, the network must be protected against numerous security threats. Attacks that have been reported by attackers within...
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| مؤلفون آخرون: | |
| منشور في: |
2023
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إضافة وسم
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| _version_ | 1864513531001438208 |
|---|---|
| author | M. Poongodi (14158869) |
| author2 | Mounir Hamdi (14150652) |
| author2_role | author |
| author_facet | M. Poongodi (14158869) Mounir Hamdi (14150652) |
| author_role | author |
| dc.creator.none.fl_str_mv | M. Poongodi (14158869) Mounir Hamdi (14150652) |
| dc.date.none.fl_str_mv | 2023-07-16T03:00:00Z |
| dc.identifier.none.fl_str_mv | 10.1002/ett.4815 |
| dc.relation.none.fl_str_mv | https://figshare.com/articles/journal_contribution/Intrusion_detection_system_using_distributed_multilevel_discriminator_in_GAN_for_IoT_system/24954750 |
| dc.rights.none.fl_str_mv | CC BY 4.0 info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Engineering Automotive engineering Communications engineering Information and computing sciences Cybersecurity and privacy Data management and data science Distributed computing and systems software GAN IoT system Intrusion detection system Internet of vehicles (IoV) |
| dc.title.none.fl_str_mv | Intrusion detection system using distributed multilevel discriminator in GAN for IoT system |
| dc.type.none.fl_str_mv | Text Journal contribution info:eu-repo/semantics/publishedVersion text contribution to journal |
| description | <p dir="ltr">The artificial intelligence‐based Internet of vehicles (IoV) systems are highly susceptible to cyber‐attacks. To reap the benefits from IoV applications, the network must be protected against numerous security threats. Attacks that have been reported by attackers within the IoV system are found using intrusion detection systems (IDSs). Instead of relying on a centralized server, a distributed classifier is required for large‐scale networks like IoV.Datasets are kept secret because managing sensitive information is a difficult task. Due to privacy concerns, devices are not intended to share information among themselves. This paper proposes a multilevel discriminator for the distributed model of IDS with generative adversarial networks (GANs) for IoV devices. Without relying on a centralized controller, the suggested architecture leverages a multilevel distributed GAN model to identify abnormal behavior. Each IoV device in the proposed architecture communicates with its neighbors in a peer‐to‐peer fashion to monitor its data and identify both internal and external threats on other devices nearby. Additionally, the proposed design makes sure that datasets do not need to be shared with other IoV devices, ensuring the privacy of all IoV system data, including sensitive data‐like vehicular data.</p><h2>Other Information</h2><p dir="ltr">Published in: Transactions on Emerging Telecommunications Technologies<br>License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1002/ett.4815" target="_blank">https://dx.doi.org/10.1002/ett.4815</a></p> |
| eu_rights_str_mv | openAccess |
| id | Manara2_53b45c87c718c841cbede424ce83e53d |
| identifier_str_mv | 10.1002/ett.4815 |
| network_acronym_str | Manara2 |
| network_name_str | Manara2 |
| oai_identifier_str | oai:figshare.com:article/24954750 |
| publishDate | 2023 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| rights_invalid_str_mv | CC BY 4.0 |
| spelling | Intrusion detection system using distributed multilevel discriminator in GAN for IoT systemM. Poongodi (14158869)Mounir Hamdi (14150652)EngineeringAutomotive engineeringCommunications engineeringInformation and computing sciencesCybersecurity and privacyData management and data scienceDistributed computing and systems softwareGANIoT systemIntrusion detection systemInternet of vehicles (IoV)<p dir="ltr">The artificial intelligence‐based Internet of vehicles (IoV) systems are highly susceptible to cyber‐attacks. To reap the benefits from IoV applications, the network must be protected against numerous security threats. Attacks that have been reported by attackers within the IoV system are found using intrusion detection systems (IDSs). Instead of relying on a centralized server, a distributed classifier is required for large‐scale networks like IoV.Datasets are kept secret because managing sensitive information is a difficult task. Due to privacy concerns, devices are not intended to share information among themselves. This paper proposes a multilevel discriminator for the distributed model of IDS with generative adversarial networks (GANs) for IoV devices. Without relying on a centralized controller, the suggested architecture leverages a multilevel distributed GAN model to identify abnormal behavior. Each IoV device in the proposed architecture communicates with its neighbors in a peer‐to‐peer fashion to monitor its data and identify both internal and external threats on other devices nearby. Additionally, the proposed design makes sure that datasets do not need to be shared with other IoV devices, ensuring the privacy of all IoV system data, including sensitive data‐like vehicular data.</p><h2>Other Information</h2><p dir="ltr">Published in: Transactions on Emerging Telecommunications Technologies<br>License: <a href="http://creativecommons.org/licenses/by/4.0/" target="_blank">http://creativecommons.org/licenses/by/4.0/</a><br>See article on publisher's website: <a href="https://dx.doi.org/10.1002/ett.4815" target="_blank">https://dx.doi.org/10.1002/ett.4815</a></p>2023-07-16T03:00:00ZTextJournal contributioninfo:eu-repo/semantics/publishedVersiontextcontribution to journal10.1002/ett.4815https://figshare.com/articles/journal_contribution/Intrusion_detection_system_using_distributed_multilevel_discriminator_in_GAN_for_IoT_system/24954750CC BY 4.0info:eu-repo/semantics/openAccessoai:figshare.com:article/249547502023-07-16T03:00:00Z |
| spellingShingle | Intrusion detection system using distributed multilevel discriminator in GAN for IoT system M. Poongodi (14158869) Engineering Automotive engineering Communications engineering Information and computing sciences Cybersecurity and privacy Data management and data science Distributed computing and systems software GAN IoT system Intrusion detection system Internet of vehicles (IoV) |
| status_str | publishedVersion |
| title | Intrusion detection system using distributed multilevel discriminator in GAN for IoT system |
| title_full | Intrusion detection system using distributed multilevel discriminator in GAN for IoT system |
| title_fullStr | Intrusion detection system using distributed multilevel discriminator in GAN for IoT system |
| title_full_unstemmed | Intrusion detection system using distributed multilevel discriminator in GAN for IoT system |
| title_short | Intrusion detection system using distributed multilevel discriminator in GAN for IoT system |
| title_sort | Intrusion detection system using distributed multilevel discriminator in GAN for IoT system |
| topic | Engineering Automotive engineering Communications engineering Information and computing sciences Cybersecurity and privacy Data management and data science Distributed computing and systems software GAN IoT system Intrusion detection system Internet of vehicles (IoV) |