IoT vulnerability data crawling and analysis

Stavros Shiaeles; Nicholas Kolokotronis; Emanuele Bellini

doi:10.1109/SERVICES.2019.00028

IoT vulnerability data crawling and analysis

Stavros Shiaeles
, Nicholas Kolokotronis
, Emanuele Bellini

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

586 Downloads (Pure)

Abstract

Internet of Things (IoT) is a whole new ecosystem comprised of heterogeneous connected devices -i.e. computers, laptops, smart-phones and tablets as well as embedded devices and sensors-that communicate to deliver capabilities making our living, cities, transport, energy, and many other areas more intelligent. The main concerns raised from the IoT ecosystem are the devices poor support for patching/updating and the poor on-board computational power. A number of issues stem from this: inherent vulnerabilities and the inability to detect and defend against external attacks. Also, due to the nature of their operation, the devices tend to be rather open to communication, which makes attacks easy to spread once reaching a network. The aim of this research is to investigate if it is possible to extract useful results regarding attacks' trends and be able to predict them, before it is too late, by crawling Deep/Dark and Surface web. The results of this work show that is possible to find the trend and be able to act proactively in order to protect the IoT ecosystem.

Original language	English
Title of host publication	2019 IEEE World Congress on Services (SERVICES)
Editors	Carl K. Chang, Peter Chen, Michael Goul, Katsunori Oyama, Stephan Reiff-Marganiec, Yanchun Sun, Shangguang Wang, Zhongjie Wang
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	78-83
Number of pages	6
ISBN (Electronic)	978-1-7281-3851-0
ISBN (Print)	978-1-7281-3852-7
DOIs	https://doi.org/10.1109/SERVICES.2019.00028
Publication status	Published - 29 Aug 2019
Event	2019 IEEE World Congress on Services - Milan, Italy Duration: 8 Jul 2019 → 13 Jul 2019

Publication series

Name	2019 IEEE World Congress on Services (SERVICES)
Publisher	IEEE
ISSN (Print)	2378-3818
ISSN (Electronic)	2642-939X

Conference

Conference	2019 IEEE World Congress on Services
Abbreviated title	SERVICES 2019
Country/Territory	Italy
City	Milan
Period	8/07/19 → 13/07/19

Keywords

Crawling
Dark web
Deep web
IoT
Trends
Vulnerabilities

Access to Document

10.1109/SERVICES.2019.00028

IoT_Vulnerability_Data_Crawling_and_Assessment (1)
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Accepted author manuscript (Post-print), 334 KB

Cite this

Shiaeles, S., Kolokotronis, N., & Bellini, E. (2019). IoT vulnerability data crawling and analysis. In C. K. Chang, P. Chen, M. Goul, K. Oyama, S. Reiff-Marganiec, Y. Sun, S. Wang, & Z. Wang (Eds.), 2019 IEEE World Congress on Services (SERVICES) (pp. 78-83). Article 8817304 (2019 IEEE World Congress on Services (SERVICES)). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/SERVICES.2019.00028

Shiaeles, Stavros ; Kolokotronis, Nicholas ; Bellini, Emanuele. / IoT vulnerability data crawling and analysis. 2019 IEEE World Congress on Services (SERVICES). editor / Carl K. Chang ; Peter Chen ; Michael Goul ; Katsunori Oyama ; Stephan Reiff-Marganiec ; Yanchun Sun ; Shangguang Wang ; Zhongjie Wang. Institute of Electrical and Electronics Engineers Inc., 2019. pp. 78-83 (2019 IEEE World Congress on Services (SERVICES)).

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Shiaeles, S, Kolokotronis, N & Bellini, E 2019, IoT vulnerability data crawling and analysis. in CK Chang, P Chen, M Goul, K Oyama, S Reiff-Marganiec, Y Sun, S Wang & Z Wang (eds), 2019 IEEE World Congress on Services (SERVICES)., 8817304, 2019 IEEE World Congress on Services (SERVICES), Institute of Electrical and Electronics Engineers Inc., pp. 78-83, 2019 IEEE World Congress on Services, Milan, Italy, 8/07/19. https://doi.org/10.1109/SERVICES.2019.00028

IoT vulnerability data crawling and analysis. / Shiaeles, Stavros; Kolokotronis, Nicholas; Bellini, Emanuele.
2019 IEEE World Congress on Services (SERVICES). ed. / Carl K. Chang; Peter Chen; Michael Goul; Katsunori Oyama; Stephan Reiff-Marganiec; Yanchun Sun; Shangguang Wang; Zhongjie Wang. Institute of Electrical and Electronics Engineers Inc., 2019. p. 78-83 8817304 (2019 IEEE World Congress on Services (SERVICES)).

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

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AU - Kolokotronis, Nicholas

AU - Bellini, Emanuele

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N2 - Internet of Things (IoT) is a whole new ecosystem comprised of heterogeneous connected devices -i.e. computers, laptops, smart-phones and tablets as well as embedded devices and sensors-that communicate to deliver capabilities making our living, cities, transport, energy, and many other areas more intelligent. The main concerns raised from the IoT ecosystem are the devices poor support for patching/updating and the poor on-board computational power. A number of issues stem from this: inherent vulnerabilities and the inability to detect and defend against external attacks. Also, due to the nature of their operation, the devices tend to be rather open to communication, which makes attacks easy to spread once reaching a network. The aim of this research is to investigate if it is possible to extract useful results regarding attacks' trends and be able to predict them, before it is too late, by crawling Deep/Dark and Surface web. The results of this work show that is possible to find the trend and be able to act proactively in order to protect the IoT ecosystem.

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KW - Trends

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BT - 2019 IEEE World Congress on Services (SERVICES)

A2 - Chang, Carl K.

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A2 - Goul, Michael

A2 - Oyama, Katsunori

A2 - Reiff-Marganiec, Stephan

A2 - Sun, Yanchun

A2 - Wang, Shangguang

A2 - Wang, Zhongjie

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2019 IEEE World Congress on Services

Y2 - 8 July 2019 through 13 July 2019

ER -

Shiaeles S, Kolokotronis N, Bellini E. IoT vulnerability data crawling and analysis. In Chang CK, Chen P, Goul M, Oyama K, Reiff-Marganiec S, Sun Y, Wang S, Wang Z, editors, 2019 IEEE World Congress on Services (SERVICES). Institute of Electrical and Electronics Engineers Inc. 2019. p. 78-83. 8817304. (2019 IEEE World Congress on Services (SERVICES)). doi: 10.1109/SERVICES.2019.00028

IoT vulnerability data crawling and analysis

Abstract

Publication series

Conference

Keywords

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