IoT Sentinel Demo: Automated Device-Type Identification for Security Enforcement in IoT

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Standard

IoT Sentinel Demo: Automated Device-Type Identification for Security Enforcement in IoT. / Miettinen, M.; Marchal, S.; Hafeez, I.; Frassetto, T.; Asokan, N.; Sadeghi, Ahmad-Reza; Tarkoma, S.

2017 IEEE 37th International Conference on Distributed Computing Systems (ICDCS). ed. / Kisung Lee; Ling Liu. IEEE, 2017. p. 2511-2514 (International Conference on Distributed Computing Systems. Proceedings ; Vol. 37).

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Harvard

Miettinen, M, Marchal, S, Hafeez, I, Frassetto, T, Asokan, N, Sadeghi, A-R & Tarkoma, S 2017, IoT Sentinel Demo: Automated Device-Type Identification for Security Enforcement in IoT. in K Lee & L Liu (eds), 2017 IEEE 37th International Conference on Distributed Computing Systems (ICDCS). International Conference on Distributed Computing Systems. Proceedings , vol. 37, IEEE, pp. 2511-2514, International Conference on Distributed Computing Systems, Atlanta, United States, 05/06/2017. https://doi.org/10.1109/ICDCS.2017.284

APA

Miettinen, M., Marchal, S., Hafeez, I., Frassetto, T., Asokan, N., Sadeghi, A-R., & Tarkoma, S. (2017). IoT Sentinel Demo: Automated Device-Type Identification for Security Enforcement in IoT. In K. Lee, & L. Liu (Eds.), 2017 IEEE 37th International Conference on Distributed Computing Systems (ICDCS) (pp. 2511-2514). (International Conference on Distributed Computing Systems. Proceedings ; Vol. 37). IEEE. https://doi.org/10.1109/ICDCS.2017.284

Vancouver

Miettinen M, Marchal S, Hafeez I, Frassetto T, Asokan N, Sadeghi A-R et al. IoT Sentinel Demo: Automated Device-Type Identification for Security Enforcement in IoT. In Lee K, Liu L, editors, 2017 IEEE 37th International Conference on Distributed Computing Systems (ICDCS). IEEE. 2017. p. 2511-2514. (International Conference on Distributed Computing Systems. Proceedings ). https://doi.org/10.1109/ICDCS.2017.284

Author

Miettinen, M. ; Marchal, S. ; Hafeez, I. ; Frassetto, T. ; Asokan, N. ; Sadeghi, Ahmad-Reza ; Tarkoma, S. / IoT Sentinel Demo: Automated Device-Type Identification for Security Enforcement in IoT. 2017 IEEE 37th International Conference on Distributed Computing Systems (ICDCS). editor / Kisung Lee ; Ling Liu. IEEE, 2017. pp. 2511-2514 (International Conference on Distributed Computing Systems. Proceedings ).

Bibtex - Download

@inproceedings{3eea783f045642d998f9c908fe9cd575,
title = "IoT Sentinel Demo: Automated Device-Type Identification for Security Enforcement in IoT",
abstract = "The emergence of numerous new manufacturers producing devices for the Internet-of-Things (IoT) has given rise to new security concerns. Many IoT devices exhibit security flaws making them vulnerable for attacks and manufacturers have difficulties in providing appropriate security patches to their products in a timely and user-friendly manner. In this paper, we present our implementation of IoT Sentinel, which is a system aimed at protecting the user's network from vulnerable IoT devices. IoT Sentinel automatically identifies vulnerable devices when they are first introduced to the network and enforces appropriate traffic filtering rules to protect other devices from the threats originating from the vulnerable devices.",
keywords = "Internet of Things, cloud computing, computer network security, mobile computing, Internet-of-Things, IoT sentinel demo, automated device-type identification, cloud-based IoT security service, security flaws, security patches, traffic filtering rules, user network protection, vulnerable device identification, Communication system security, Fingerprint recognition, Logic gates, Object recognition, Prototypes, Security, Wireless communication, IoT security, SDN-based network isolation, device fingerprinting, device identification, threat mitigation",
author = "M. Miettinen and S. Marchal and I. Hafeez and T. Frassetto and N. Asokan and Ahmad-Reza Sadeghi and S. Tarkoma",
year = "2017",
month = "6",
day = "1",
doi = "10.1109/ICDCS.2017.284",
language = "English",
isbn = "978-1-5386-1791-5",
series = "International Conference on Distributed Computing Systems. Proceedings",
publisher = "IEEE",
pages = "2511--2514",
editor = "Kisung Lee and Ling Liu",
booktitle = "2017 IEEE 37th International Conference on Distributed Computing Systems (ICDCS)",

}

RIS - Download

TY - GEN

T1 - IoT Sentinel Demo: Automated Device-Type Identification for Security Enforcement in IoT

AU - Miettinen, M.

AU - Marchal, S.

AU - Hafeez, I.

AU - Frassetto, T.

AU - Asokan, N.

AU - Sadeghi, Ahmad-Reza

AU - Tarkoma, S.

PY - 2017/6/1

Y1 - 2017/6/1

N2 - The emergence of numerous new manufacturers producing devices for the Internet-of-Things (IoT) has given rise to new security concerns. Many IoT devices exhibit security flaws making them vulnerable for attacks and manufacturers have difficulties in providing appropriate security patches to their products in a timely and user-friendly manner. In this paper, we present our implementation of IoT Sentinel, which is a system aimed at protecting the user's network from vulnerable IoT devices. IoT Sentinel automatically identifies vulnerable devices when they are first introduced to the network and enforces appropriate traffic filtering rules to protect other devices from the threats originating from the vulnerable devices.

AB - The emergence of numerous new manufacturers producing devices for the Internet-of-Things (IoT) has given rise to new security concerns. Many IoT devices exhibit security flaws making them vulnerable for attacks and manufacturers have difficulties in providing appropriate security patches to their products in a timely and user-friendly manner. In this paper, we present our implementation of IoT Sentinel, which is a system aimed at protecting the user's network from vulnerable IoT devices. IoT Sentinel automatically identifies vulnerable devices when they are first introduced to the network and enforces appropriate traffic filtering rules to protect other devices from the threats originating from the vulnerable devices.

KW - Internet of Things

KW - cloud computing

KW - computer network security

KW - mobile computing

KW - Internet-of-Things

KW - IoT sentinel demo

KW - automated device-type identification

KW - cloud-based IoT security service

KW - security flaws

KW - security patches

KW - traffic filtering rules

KW - user network protection

KW - vulnerable device identification

KW - Communication system security

KW - Fingerprint recognition

KW - Logic gates

KW - Object recognition

KW - Prototypes

KW - Security

KW - Wireless communication

KW - IoT security

KW - SDN-based network isolation

KW - device fingerprinting

KW - device identification

KW - threat mitigation

U2 - 10.1109/ICDCS.2017.284

DO - 10.1109/ICDCS.2017.284

M3 - Conference contribution

SN - 978-1-5386-1791-5

T3 - International Conference on Distributed Computing Systems. Proceedings

SP - 2511

EP - 2514

BT - 2017 IEEE 37th International Conference on Distributed Computing Systems (ICDCS)

A2 - Lee, Kisung

A2 - Liu, Ling

PB - IEEE

ER -

ID: 15241384