DETONAR: Detection of Routing Attacks in RPL-Based IoT
| Autor: | Pallavi Kaliyar, Mauro Conti, Tsung-Nan Lin, Luca Pajola, Andrea Agiollo |
|---|---|
| Přispěvatelé: | Andrea Agiollo, Mauro Conti, Pallavi Kaliyar, TsungNan Lin, Luca Pajola |
| Rok vydání: | 2021 |
| Předmět: |
Routing protocol
Computer Networks and Communications Computer science Internet of Things 02 engineering and technology Intrusion detection system Critical infrastructure Routing protocols 0202 electrical engineering electronic engineering information engineering Intrusion Detection System Low Power and Lossy Networks Medical services Networking attacks Radar Routing Routing Protocol Security Wireless sensor networks Overhead (computing) Electrical and Electronic Engineering business.industry Network packet 020206 networking & telecommunications Packet analyzer Internet of Things Low Power and Lossy Networks Routing Protocol Networking attacks Intrusion Detection System Routing (electronic design automation) business Wireless sensor network Computer network |
| Zdroj: | IEEE Transactions on Network and Service Management. 18:1178-1190 |
| ISSN: | 2373-7379 |
| Popis: | The Internet of Things (IoT) is a reality that changes several aspects of our daily life, from smart home monitoring to the management of critical infrastructure. The “Routing Protocol for low power and Lossy networks” (RPL) is the only de-facto standardized routing protocol in IoT networks and is thus deployed in environmental monitoring, healthcare, smart building, and many other IoT applications. In literature, we can find several attacks aiming to affect and disrupt RPL-based networks. Therefore, it is fundamental to develop security mechanisms that detect and mitigate any potential attack in RPL-based networks. Current state-of-the-art security solutions deal with very few attacks while introducing heavy mechanisms at the expense of IoT devices and the overall network performance. In this work, we aim to develop an Intrusion Detection System (IDS) capable of dealing with multiple attacks while avoiding any RPL overhead. The proposed system is called DETONAR - DETector of rOutiNg Attacks in Rpl - and it relies on a packet sniffing approach. DETONAR uses a combination of signature and anomaly-based rules to identify any malicious behavior in the traffic (e.g., application and DIO packets). To the best of our knowledge, there are no exhaustive datasets containing RPL traffic for a vast range of attacks. To overcome this issue and evaluate our IDS, we propose RADAR - Routing Attacks DAtaset for Rpl: the dataset contains five simulations for each of the 14 considered attacks in 16 static-nodes networks. DETONAR’s attack detection exceeds 80% for 10 attacks out of 14, while maintaining false positives close to zero. |
| Databáze: | OpenAIRE |
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