Faking Smart Industry: A Honeypot-Driven Approach for Exploring Cyber Security Threat Landscape

S. M.Zia Ur Rashid, Ashfaqul Haq, Sayed Tanimun Hasan, Md Hasan Furhad, Mohiuddin Ahmed, Abu S.S.M. Barkat Ullah

Research output: A Conference proceeding or a Chapter in BookConference contributionpeer-review

Abstract

The digital evolution of Industry 4.0 enabled Operational Technology (OT) infrastructures to operate and remotely maintain cyber-physical systems bridging over IT infrastructures. It has also expanded new attack surfaces and steadily increased the number of malicious cyber incidents for the interconnected smart critical systems. Within Industrial Control System (ICS), Programmable Logic Controller (PLC) plays a crucial function to bridge between cyber and physical environments which made them the victim of sophisticated cyber-attacks that are designed to interrupt and damage their operations. Honeypots have been used as a key tool for aggregating real threat data e.g., malicious activities and payloads, to observe and determine different attack methods and strategies that can easily affect poorly secured cyber-physical systems. In this research, we deployed T-pot honeypot in Amazon Elastic Compute Cloud (AWS EC2) instance across six different regions to determine the current threat landscape as well as how knowledgeable and ingenious threat actors could be in compromising internet-facing Industrial Control System (ICS).

Original languageEnglish
Title of host publicationCognitive Radio Oriented Wireless Networks and Wireless Internet
Subtitle of host publicationProceedings of 16th EAI International Conference, CROWNCOM 2021 Virtual Event, December 11, 2021 and 14th EAI International Conference, WiCON 2021
EditorsHuilong Jin, Chungang Liu, Al-Sakib Khan Pathan, Zubair Md. Fadlullah, Salimur Choudhury
Place of PublicationSwitzerland
PublisherSpringer
Pages307-324
Number of pages18
ISBN (Print)9783030980016
DOIs
Publication statusPublished - 2022
Event16th EAI International Conference on Cognitive Radio Oriented Wireless Networks, CROWNCOM 2021 and 14th EAI International Wireless Internet Conference, WiCON 2021 - Virtual, Online
Duration: 11 Dec 202111 Dec 2021

Publication series

NameLecture Notes of the Institute for Computer Sciences, Social-Informatics and Telecommunications Engineering, LNICST
Volume427 LNICST
ISSN (Print)1867-8211
ISSN (Electronic)1867-822X

Conference

Conference16th EAI International Conference on Cognitive Radio Oriented Wireless Networks, CROWNCOM 2021 and 14th EAI International Wireless Internet Conference, WiCON 2021
CityVirtual, Online
Period11/12/2111/12/21

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