The increasing Internet of Things (IoT) network complexity and sophisticated Distributed Denial of Service (DDoS) attacks at machine speeds make accurate and timely detection and mitigation of these attacks a challenging activity. This study presents a multi-agent-based system design (MAS-IoT) against DDoS attacks in the IoT network. The MAS-IoT consists of different types of agents which communicate using Advanced Encryption Standard (AES). In the context of the study, DDoS attacks were detected using a long-short-term memory (LSTM)-based model (LSTMIoT) developed based on the CIC-IoT-2022 dataset with a 99.48% accuracy rate. The detection time of the LSTM-IoT and its time complexity were calculated and compared using similar methods mentioned in the literature. The results demonstrate the effectiveness of the LSTM-IoT in accurately detecting DDoS attacks. However, the ability to use it effectively and on time is vital to counter real-time attacks. The MAS-IoT system enables this with minimum human intervention.
Eser Adı (dc.title) | Internet of things security: A multi-agent-based defense system design |
Yazar (dc.contributor.author) | Hakan Aydın |
Yayın Yılı (dc.date.issued) | 2023 |
Tür (dc.type) | Makale |
Özet (dc.description.abstract) | The increasing Internet of Things (IoT) network complexity and sophisticated Distributed Denial of Service (DDoS) attacks at machine speeds make accurate and timely detection and mitigation of these attacks a challenging activity. This study presents a multi-agent-based system design (MAS-IoT) against DDoS attacks in the IoT network. The MAS-IoT consists of different types of agents which communicate using Advanced Encryption Standard (AES). In the context of the study, DDoS attacks were detected using a long-short-term memory (LSTM)-based model (LSTMIoT) developed based on the CIC-IoT-2022 dataset with a 99.48% accuracy rate. The detection time of the LSTM-IoT and its time complexity were calculated and compared using similar methods mentioned in the literature. The results demonstrate the effectiveness of the LSTM-IoT in accurately detecting DDoS attacks. However, the ability to use it effectively and on time is vital to counter real-time attacks. The MAS-IoT system enables this with minimum human intervention. |
Açık Erişim Tarihi (dc.date.available) | 2023-10-04 |
Yayıncı (dc.publisher) | Pergamon-Elsevier Science Ltd |
Dil (dc.language.iso) | En |
Konu Başlıkları (dc.subject) | Internet of things |
Konu Başlıkları (dc.subject) | Encryption |
Konu Başlıkları (dc.subject) | Agents |
Konu Başlıkları (dc.subject) | Distributed denial of service |
Konu Başlıkları (dc.subject) | Network security |
Tek Biçim Adres (dc.identifier.uri) | https://hdl.handle.net/20.500.14081/1948 |
ISSN (dc.identifier.issn) | 0045-7906 |
Dergi (dc.relation.journal) | Computers & Electrıcal Engıneerıng |
Esere Katkı Sağlayan (dc.contributor.other) | Aydin, Hakan |
Esere Katkı Sağlayan (dc.contributor.other) | Aydin, Muhammed Ali |
Esere Katkı Sağlayan (dc.contributor.other) | Sertbas, Ahmet |
Esere Katkı Sağlayan (dc.contributor.other) | Aydin, Gulsum Zeynep Gurkas |
DOI (dc.identifier.doi) | 10.1016/j.compeleceng.2023.108961 |
Orcid (dc.identifier.orcid) | 0000-0002-0122-8512 |
Dergi Cilt (dc.identifier.volume) | 111 |
wosquality (dc.identifier.wosquality) | Q2 |
wosauthorid (dc.contributor.wosauthorid) | ADD-2495-2022 |
Department (dc.contributor.department) | Bilgisayar Mühendisliği (İngilizce) |
Wos No (dc.identifier.wos) | WOS:001149530600001 |
Veritabanları (dc.source.platform) | Wos |
Veritabanları (dc.source.platform) | Scopus |