Farea, Ali Hamid and Küçük, Kerem (2022) Detections of IoT Attacks via Machine Learning-Based Approaches with Cooja. EAI Endorsed Transactions on Internet of Things.
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Abstract
Once hardware becomes "intelligent", it is vulnerable to threats. Therefore, IoT ecosystems are susceptible to a variety of attacks and are considered challenging due to heterogeneity and dynamic ecosystem. In this study, we proposed a method for detecting IoT attacks that are based on ML-based appr
| Item Type: | Article |
|---|---|
| Date Deposited: | 04 Mar 2026 15:31 |
| Last Modified: | 11 Apr 2026 12:51 |
| URI: | http://eprints.eai.eu/id/eprint/39668 |
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