Deep Learning for Detection of Routing Attacks in the Internet of Things
Yazarlar (3)
Furkan Yusuf Yavuz
Türkiye Bilimsel ve Teknolojik Araştirma Kurumu, Türkiye
Türkiye Bilimsel ve Teknolojik Araştirma Kurumu, Türkiye
Devrim Ünal Kındı Center For Computing Research, College Of Engineering, Qatar University, Türkiye
Prof. Dr. Ensar GÜL İstanbul Şehir Üniversitesi, Türkiye
| Makale Türü |
Özgün Makale
(SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale)
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| Dergi Adı | International Journal of Computational Intelligence Systems (Q4) | ||
| Dergi ISSN | 1875-6891 Wos Dergi Scopus Dergi | ||
| Dergi Tarandığı Indeksler | SCI | ||
| Makale Dili | İngilizce | Basım Tarihi | 12-2018 |
| Cilt / Sayı / Sayfa | 12 / 1 / 39–58 | DOI | 10.2991/ijcis.2018.25905181 |
| Makale Linki | https://www.atlantis-press.com/journals/ijcis/25905181 | ||
| UAK Araştırma Alanları |
Bilgisayar Yazılımı ve Yazılım Mühendisliği
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| Özet |
| Cyber threats are a showstopper for Internet of Things (IoT) has recently been used at an industrial scale. Network layer attacks on IoT can cause significant disruptions and loss of information. Among such attacks, routing attacks are especially hard to defend against because of the ad-hoc nature of IoT systems and resource constraints of IoT devices. Hence, an efficient approach for detecting and predicting IoT attacks is needed. Systems confidentiality, integrity and availability depends on continuous security and robustness against routing attacks. We propose a deep-learning based machine learning method for detection of routing attacks for IoT. In our study, the Cooja IoT simulator has been utilized for generation of high-fidelity attack data, within IoT networks ranging from 10 to 1000 nodes. We propose a highly scalable, deep-learning based attack detection methodology for detection of IoT routing attacks which … |
| Anahtar Kelimeler |
| Continuous monitoring | Cyber security | Cyber-physical systems | Deep learning |
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Web of Science | 106 |
| Scopus | 163 |
| Google Scholar | 209 |