JOURNAL ARTICLE

Analysis of ICS and SCADA Systems Attacks Using Honeypots

Mohamed MesbahMahmoud Said ElsayedAnca Delia JurcutMarianne A. Azer

Year: 2023 Journal:   Future Internet Vol: 15 (7)Pages: 241-241   Publisher: Multidisciplinary Digital Publishing Institute

Abstract

Supervisory control and data acquisition (SCADA) attacks have increased due to the digital transformation of many industrial control systems (ICS). Operational technology (OT) operators should use the defense-in-depth concept to secure their operations from cyber attacks and reduce the surface that can be attacked. Layers of security, such as firewalls, endpoint solutions, honeypots, etc., should be used to secure traditional IT systems. The three main goals of IT cybersecurity are confidentiality, integrity, and availability (CIA), but these three goals have different levels of importance in the operational technology (OT) industry. Availability comes before confidentiality and integrity because of the criticality of business in OT. One of the layers of security in both IT and OT is honeypots. SCADA honeypots are used as a layer of security to mitigate attacks, known attackers’ techniques, and network and system weaknesses that attackers may use, and to mitigate these vulnerabilities. In this paper, we use SCADA honeypots for early detection of potential malicious tampering within a SCADA device network, and to determine threats against ICS/SCADA networks. An analysis of SCADA honeypots gives us the ability to know which protocols are most commonly attacked, and attackers’ behaviors, locations, and goals. We use an ICS/SCADA honeypot called Conpot, which simulates real ICS/SCADA systems with some ICS protocols and ICS/SCADA PLCs.

Keywords:
SCADA Honeypot Computer security Computer science Modbus Industrial control system Control system security Computer network Information security Control (management) Communications protocol Engineering Security service Software security assurance

Metrics

21
Cited By
9.23
FWCI (Field Weighted Citation Impact)
19
Refs
0.95
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Network Security and Intrusion Detection
Physical Sciences →  Computer Science →  Computer Networks and Communications
Smart Grid Security and Resilience
Physical Sciences →  Engineering →  Control and Systems Engineering
Advanced Malware Detection Techniques
Physical Sciences →  Computer Science →  Signal Processing

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