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

M. Miettinen; S. Marchal; I. Hafeez; T. Frassetto; N. Asokan; Ahmad-Reza Sadeghi; S. Tarkoma

doi:10.1109/ICDCS.2017.284

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

M. Miettinen, S. Marchal, I. Hafeez, T. Frassetto, N. Asokan, Ahmad-Reza Sadeghi, S. Tarkoma

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Scientific › peer-review

55 Citations (Scopus)

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.

Original language	English
Title of host publication	2017 IEEE 37th International Conference on Distributed Computing Systems (ICDCS)
Editors	Kisung Lee, Ling Liu
Publisher	IEEE
Pages	2511-2514
Number of pages	4
ISBN (Print)	978-1-5386-1791-5
DOIs	https://doi.org/10.1109/ICDCS.2017.284
Publication status	Published - 1 Jun 2017
MoE publication type	A4 Article in a conference publication
Event	International Conference on Distributed Computing Systems - Atlanta, United States Duration: 5 Jun 2017 → 8 Jun 2017 Conference number: 37

Publication series

Name	International Conference on Distributed Computing Systems. Proceedings
Publisher	IEEE Computer Society
Volume	37
ISSN (Print)	1063-6927

Conference

Conference	International Conference on Distributed Computing Systems
Abbreviated title	ICDCS
Country/Territory	United States
City	Atlanta
Period	05/06/2017 → 08/06/2017

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

Access to Document

10.1109/ICDCS.2017.284

OpenUrl availability

Full text

IoT devices captures
Marchal, S. (Creator), Aalto University, 3 Apr 2017
DOI: 10.24342/285a9b06-de31-4d8b-88e9-5bdba46cc161
Dataset

File

Cite this

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

@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 = jun,

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)",

address = "United States",

note = "International Conference on Distributed Computing Systems, ICDCS ; Conference date: 05-06-2017 Through 08-06-2017",

}

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, Georgia, United States, 05/06/2017. https://doi.org/10.1109/ICDCS.2017.284

IoT Sentinel Demo: Automated Device-Type Identification for Security Enforcement in IoT. / Miettinen, M.; Marchal, S.; Hafeez, I. et al.

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 proceeding › Conference contribution › Scientific › peer-review

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.

N1 - Conference code: 37

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

T2 - International Conference on Distributed Computing Systems

Y2 - 5 June 2017 through 8 June 2017

ER -

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 ). doi: 10.1109/ICDCS.2017.284

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

Abstract

Publication series

Conference

Keywords

Access to Document

OpenUrl availability

Fingerprint

Datasets

IoT devices captures

Cite this