Anomaly Detection of ICS Communication Using Statistical Models

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26230%2F21%3APU142909" target="_blank" >RIV/00216305:26230/21:PU142909 - isvavai.cz</a>

Result on the web

<a href="https://ieeexplore.ieee.org/abstract/document/9615510" target="_blank" >https://ieeexplore.ieee.org/abstract/document/9615510</a>

DOI - Digital Object Identifier

<a href="http://dx.doi.org/10.23919/CNSM52442.2021.9615510" target="_blank" >10.23919/CNSM52442.2021.9615510</a>

Result language

angličtina

Original language name

Anomaly Detection of ICS Communication Using Statistical Models

Original language description

Industrial Control System (ICS) transmits control and monitoring data between devices in an industrial environment that includes smart grids, water and gas distribution, or traffic control. Unlike traditional internet communication, ICS traffic is stable, periodical, and with regular communication patterns that can be described using statistical modeling. By observing selected features of ICS transmission, e.g., packet direction and inter-arrival times, we can create a statistical profile of the communication based on distribution of features learned from the normal ICS traffic. This paper demonstrates that using statistical modeling, we can detect various anomalies caused by irregular transmissions, device or link failures, and also cyber attacks like packet injection, scanning, or denial of service (DoS). The paper shows how a statistical model is automatically created from a training dataset. We present two types of statistical profiles: the master-oriented profile for one-to-many communication and the peer-to-peer profile that describes traffic between two ICS devices. The proposed approach is fast and easy to implement as a part of an intrusion detection system (IDS) or an anomaly detection (AD) module. The proof-of-concept is demonstrated on two industrial protocols: IEC 60870-5-104 (aka IEC 104) and IEC 61850 (Goose).

Czech name

—

Czech description

—

Type

D - Article in proceedings

CEP classification

—

OECD FORD branch

20206 - Computer hardware and architecture

Project

<a href="/en/project/VI20192022138" target="_blank" >VI20192022138: Security monitoring of ICS communication in the smart grid</a><br>

Continuities

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

Publication year

2021

Confidentiality

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

Article name in the collection

Proceedings of the 17th International Conference on Network Service Management (CNSM 2021)

ISBN

978-3-903176-36-2

ISSN

—

e-ISSN

—

Number of pages

7

Pages from-to

166-172

Publisher name

Institute of Electrical and Electronics Engineers

Place of publication

Izmir

Event location

Izmir

Event date

Oct 25, 2021

Type of event by nationality

WRD - Celosvětová akce

UT code for WoS article

000836226700025