Data-Driven Intelligence for Characterizing Internet-scale IoT Exploitations

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216224%3A14610%2F18%3A00108865" target="_blank" >RIV/00216224:14610/18:00108865 - isvavai.cz</a>

Result on the web

<a href="https://ieeexplore.ieee.org/document/8644468" target="_blank" >https://ieeexplore.ieee.org/document/8644468</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.1109/GLOCOMW.2018.8644468" target="_blank" >10.1109/GLOCOMW.2018.8644468</a>

Result language

angličtina

Original language name

Data-Driven Intelligence for Characterizing Internet-scale IoT Exploitations

Original language description

While the security issue associated with the Internet-of-Things (IoT) continues to attract significant attention from the research and operational communities, the visibility of IoT security-related data hinders the prompt inference and remediation of IoT maliciousness. In an effort to address the IoT security problem at large, in this work, we extend passive monitoring and measurements by investigating network telescope data to infer and analyze malicious activities generated by compromised IoT devices deployed in various domains. Explicitly, we develop a data-driven approach to pinpoint exploited IoT devices, investigate and differentiate their illicit actions, and examine their hosting environments. More importantly, we conduct discussions with various entities to obtain IP allocation information, which further allows us to attribute IoT exploitations per business sector (i.e., education, financial, manufacturing, etc.). Our analysis draws upon 1.2 TB of darknet data that was collected from a /8 network telescope for a 1 day period. The outcome signifies an alarming number of compromised IoT devices. Notably, around 940 of them fell victims of DDoS attacks, while 55,000 IoT nodes were shown to be compromised, aggressively probing Internet-wide hosts. Additionally, we inferred alarming IoT exploitations in various critical sectors such as the manufacturing, financial and healthcare realms.

Czech name

—

Czech description

—

Type

D - Article in proceedings

CEP classification

—

OECD FORD branch

10200 - Computer and information sciences

Project

<a href="/en/project/EF16_019%2F0000822" target="_blank" >EF16_019/0000822: CyberSecurity, CyberCrime and Critical Information Infrastructures Center of Excellence</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2018

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection

2018 IEEE Globecom Workshops

ISBN

9781538649206

ISSN

2166-0069

e-ISSN

—

Number of pages

7

Pages from-to

1-7

Publisher name

IEEE

Place of publication

Abu Dhabi

Event location

Abu Dhabi

Event date

Dec 9, 2018

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

000462817000273