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

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussa › Conference contribution › Scientific › vertaisarvioitu

57 Sitaatiot (Scopus)

Abstrakti

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.

Alkuperäiskieli	Englanti
Otsikko	2017 IEEE 37th International Conference on Distributed Computing Systems (ICDCS)
Toimittajat	Kisung Lee, Ling Liu
Kustantaja	IEEE
Sivut	2511-2514
Sivumäärä	4
ISBN (painettu)	978-1-5386-1791-5
DOI - pysyväislinkit	https://doi.org/10.1109/ICDCS.2017.284
Tila	Julkaistu - 1 kesäk. 2017
OKM-julkaisutyyppi	A4 Artikkeli konferenssijulkaisuussa
Tapahtuma	International Conference on Distributed Computing Systems - Atlanta, Yhdysvallat Kesto: 5 kesäk. 2017 → 8 kesäk. 2017 Konferenssinumero: 37

Julkaisusarja

Nimi	International Conference on Distributed Computing Systems. Proceedings
Kustantaja	IEEE Computer Society
Vuosikerta	37
ISSN (painettu)	1063-6927

Conference

Conference	International Conference on Distributed Computing Systems
Lyhennettä	ICDCS
Maa/Alue	Yhdysvallat
Kaupunki	Atlanta
Ajanjakso	05/06/2017 → 08/06/2017

Pääsy asiakirjaan

10.1109/ICDCS.2017.284

OpenUrl-saatavuus

Koko teksti

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

Tiedosto

Siteeraa tätä

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. teoksessa K. Lee, & L. Liu (Toimittajat), 2017 IEEE 37th International Conference on Distributed Computing Systems (ICDCS) (Sivut 2511-2514). (International Conference on Distributed Computing Systems. Proceedings ; Vuosikerta 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. julkaisussa K Lee & L Liu (toim), 2017 IEEE 37th International Conference on Distributed Computing Systems (ICDCS). International Conference on Distributed Computing Systems. Proceedings , Vuosikerta 37, IEEE, Sivut 2511-2514, International Conference on Distributed Computing Systems, Atlanta, Georgia, Yhdysvallat, 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). toim. / Kisung Lee; Ling Liu. IEEE, 2017. s. 2511-2514 (International Conference on Distributed Computing Systems. Proceedings ; Vuosikerta 37).

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussa › Conference contribution › Scientific › vertaisarvioitu

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. julkaisussa Lee K, Liu L, toimittajat, 2017 IEEE 37th International Conference on Distributed Computing Systems (ICDCS). IEEE. 2017. s. 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

Abstrakti

Julkaisusarja

Conference

Pääsy asiakirjaan

OpenUrl-saatavuus

Sormenjälki

Tietoaineistot

IoT devices captures

Siteeraa tätä