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Enhancing SCADA Security: Developing a Host-Based Intrusion Detection System to Safeguard Against Cyberattacks

Omer Sen, Tarek Hassan, Andreas Ulbig, Martin Henze

TL;DR

SCADA systems in smart grids are increasingly targeted by cyberattacks, and traditional network-focused defenses often fail to protect peripheral entry points and memory integrity. The authors propose a host-based intrusion detection system (HIDS) tailored for SCADA, integrating USB device identification, process memory scanning, and SHA-256 hashing to detect and disable malware in real time, with a setup phase that establishes a cryptographically protected baseline. The approach is validated through three practical, DMZ-based scenarios on a Linux host, showing 100% malware detection in two scenarios and high effectiveness in USB-related cases, albeit with a race-condition caveat that lowers disabling efficacy. This work advances practical SCADA security by delivering a portable, memory- and hardware-aware HIDS and suggests future enhancements via machine learning and hardware-assisted defenses for robust protection of critical infrastructure.

Abstract

With the increasing reliance of smart grids on correctly functioning SCADA systems and their vulnerability to cyberattacks, there is a pressing need for effective security measures. SCADA systems are prone to cyberattacks, posing risks to critical infrastructure. As there is a lack of host-based intrusion detection systems specifically designed for the stable nature of SCADA systems, the objective of this work is to propose a host-based intrusion detection system tailored for SCADA systems in smart grids. The proposed system utilizes USB device identification, flagging, and process memory scanning to monitor and detect anomalies in SCADA systems, providing enhanced security measures. Evaluation in three different scenarios demonstrates the tool's effectiveness in detecting and disabling malware. The proposed approach effectively identifies potential threats and enhances the security of SCADA systems in smart grids, providing a promising solution to protect against cyberattacks.

Enhancing SCADA Security: Developing a Host-Based Intrusion Detection System to Safeguard Against Cyberattacks

TL;DR

SCADA systems in smart grids are increasingly targeted by cyberattacks, and traditional network-focused defenses often fail to protect peripheral entry points and memory integrity. The authors propose a host-based intrusion detection system (HIDS) tailored for SCADA, integrating USB device identification, process memory scanning, and SHA-256 hashing to detect and disable malware in real time, with a setup phase that establishes a cryptographically protected baseline. The approach is validated through three practical, DMZ-based scenarios on a Linux host, showing 100% malware detection in two scenarios and high effectiveness in USB-related cases, albeit with a race-condition caveat that lowers disabling efficacy. This work advances practical SCADA security by delivering a portable, memory- and hardware-aware HIDS and suggests future enhancements via machine learning and hardware-assisted defenses for robust protection of critical infrastructure.

Abstract

With the increasing reliance of smart grids on correctly functioning SCADA systems and their vulnerability to cyberattacks, there is a pressing need for effective security measures. SCADA systems are prone to cyberattacks, posing risks to critical infrastructure. As there is a lack of host-based intrusion detection systems specifically designed for the stable nature of SCADA systems, the objective of this work is to propose a host-based intrusion detection system tailored for SCADA systems in smart grids. The proposed system utilizes USB device identification, flagging, and process memory scanning to monitor and detect anomalies in SCADA systems, providing enhanced security measures. Evaluation in three different scenarios demonstrates the tool's effectiveness in detecting and disabling malware. The proposed approach effectively identifies potential threats and enhances the security of SCADA systems in smart grids, providing a promising solution to protect against cyberattacks.
Paper Structure (15 sections, 2 figures, 4 algorithms)

This paper contains 15 sections, 2 figures, 4 algorithms.

Table of Contents

  1. Introduction
  2. Multi-Staged Attack Detection System
  3. Overview of HIDS Approach
  4. Setup Phase for Data Collection
  5. USB Device Identification
  6. Process Memory Scanning and Hashing
  7. Malware Detection
  8. Case Study & Discussion
  9. Investigation Procedure Setup
  10. Results
  11. Scenario 1: USB Device Insertion
  12. Scenario 2: Downloaded Malware
  13. Scenario 3: USB Detection Bypass
  14. Discussion
  15. Conclusion

Figures (2)

  • Figure 1: Component diagram depicting the proposed multi-stage hids for scada systems, which combines USB device identification, process memory scanning, and hashing techniques to detect and disable malware attacks, ensuring real-time protection and comprehensive security coverage.
  • Figure 2: Investigation environment depicting the assessment of scada system vulnerability and the proposed hids through three scenarios: USB device insertion, downloaded malware, and USB detection bypass.