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Stepping out of the MUD: Contextual threat information for IoT devices with manufacturer-provided behavior profiles

Authors:

Luca Morgese Zangrandi,

Savio Sciancalepore,

Andrea ContinellaAuthors Info & Claims

ACSAC '22: Proceedings of the 38th Annual Computer Security Applications Conference

Pages 467 - 480

https://doi.org/10.1145/3564625.3564644

Published: 05 December 2022 Publication History

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Abstract

Besides coming with unprecedented benefits, the Internet of Things (IoT) suffers deficits in security measures, leading to attacks increasing every year. In particular, network environments such as smart homes lack managed security capabilities to detect IoT-related attacks; IoT devices hosted therein are thus more easily targeted by threats. As such, context awareness of IoT infections is hard to achieve, preventing prompt response. In this work, we propose MUDscope, an approach to monitor malicious network activities affecting IoT systems in real-world consumer environments. We leverage the recent Manufacturer Usage Description (MUD) specification, which defines networking allow-lists for IoT devices in MUD profiles, to reflect consistent and necessarily-anomalous activities from smart things. Our approach characterizes this traffic and extracts signatures for given attacks. By analyzing attack signatures for multiple devices, we gather insights into emerging attack patterns. We evaluate our approach on both an existing dataset and a new, openly available dataset created for this research. We show that MUDscope detects several attacks targeting IoT devices with an F1-score of 95.77% and correctly identifies signatures for specific attacks with an F1-score of 87.72%.

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Cited By

Tagliaro CKomsic MContinella ABorgolte KLindorfer M(2024)Large-Scale Security Analysis of Real-World Backend Deployments Speaking IoT-Focused ProtocolsProceedings of the 27th International Symposium on Research in Attacks, Intrusions and Defenses10.1145/3678890.3678899(561-578)Online publication date: 30-Sep-2024
https://dl.acm.org/doi/10.1145/3678890.3678899
Guo SLyu MGharakheili H(2024)Realizing Open and Decentralized Marketplace for Exchanging Data of Expected IoT BehaviorsNOMS 2024-2024 IEEE Network Operations and Management Symposium10.1109/NOMS59830.2024.10575272(1-5)Online publication date: 6-May-2024
https://doi.org/10.1109/NOMS59830.2024.10575272
Smolyakova SKhodayarseresht EMajumdar S(2024)Traditional IOCs Meet Dynamic App–Device Interactions for IoT-Specific Threat IntelligenceIEEE Internet of Things Journal10.1109/JIOT.2024.341335111:19(30571-30593)Online publication date: 1-Oct-2024
https://doi.org/10.1109/JIOT.2024.3413351
Show More Cited By

Index Terms

Stepping out of the MUD: Contextual threat information for IoT devices with manufacturer-provided behavior profiles
1. Networks
  1. Network services
    1. Network monitoring
2. Security and privacy
  1. Intrusion/anomaly detection and malware mitigation
    1. Intrusion detection systems
  2. Network security
    1. Security protocols

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ACSAC '22: Proceedings of the 38th Annual Computer Security Applications Conference

December 2022

1021 pages

ISBN:9781450397599

DOI:10.1145/3564625

Copyright © 2022 Owner/Author.

This work is licensed under a Creative Commons Attribution International 4.0 License.

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Published: 05 December 2022

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December 5 - 9, 2022

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Cited By

Tagliaro CKomsic MContinella ABorgolte KLindorfer M(2024)Large-Scale Security Analysis of Real-World Backend Deployments Speaking IoT-Focused ProtocolsProceedings of the 27th International Symposium on Research in Attacks, Intrusions and Defenses10.1145/3678890.3678899(561-578)Online publication date: 30-Sep-2024
https://dl.acm.org/doi/10.1145/3678890.3678899
Guo SLyu MGharakheili H(2024)Realizing Open and Decentralized Marketplace for Exchanging Data of Expected IoT BehaviorsNOMS 2024-2024 IEEE Network Operations and Management Symposium10.1109/NOMS59830.2024.10575272(1-5)Online publication date: 6-May-2024
https://doi.org/10.1109/NOMS59830.2024.10575272
Smolyakova SKhodayarseresht EMajumdar S(2024)Traditional IOCs Meet Dynamic App–Device Interactions for IoT-Specific Threat IntelligenceIEEE Internet of Things Journal10.1109/JIOT.2024.341335111:19(30571-30593)Online publication date: 1-Oct-2024
https://doi.org/10.1109/JIOT.2024.3413351
Kumari PMangat VSingh A(2023)Comparative Analysis of State-of-the-Art Attack Detection Models2023 14th International Conference on Computing Communication and Networking Technologies (ICCCNT)10.1109/ICCCNT56998.2023.10306428(1-7)Online publication date: 6-Jul-2023
https://doi.org/10.1109/ICCCNT56998.2023.10306428
Makhdoom IAbolhasan MFranklin DLipman JZimmermann CPiccardi MShariati N(2023)Detecting compromised IoT devicesComputers and Security10.1016/j.cose.2023.103384132:COnline publication date: 1-Sep-2023
https://dl.acm.org/doi/10.1016/j.cose.2023.103384

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