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Green Intrusion Detection Systems: A Comprehensive Review and Directions.

Swapnoneel Roy¹, Sriram Sankaran², Mini Zeng³

¹School of Computing, University of North Florida, Jacksonville, FL 32224, USA.

Sensors (Basel, Switzerland)

|September 14, 2024

Summary

This summary is machine-generated.

This survey reviews green intrusion detection systems (IDS) for energy efficiency in embedded devices. It analyzes performance, overhead, and energy consumption to guide secure and greener environments.

Keywords:

anomaly detection cybersecurity energy optimization intrusion detection

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Area of Science:

Computer Science
Cybersecurity
Embedded Systems Engineering

Background:

Intrusion detection systems (IDS) are crucial for identifying abnormal network behavior.
Increasingly, IDS must operate within the resource constraints of embedded devices, like those in the Internet of Things (IoT) and cyber-physical systems.
Energy efficiency is a growing concern for these low-power embedded systems.

Purpose of the Study:

To provide a comprehensive survey of existing green intrusion detection systems (G-IDS).
To analyze the effectiveness of G-IDS concerning performance, overhead, and energy consumption.
To identify future research directions for developing secure and energy-efficient IDS.

Main Methods:

Systematic literature review of G-IDS research.
Comparative analysis of G-IDS based on performance metrics, system overhead, and energy usage.
Evaluation across diverse low-power embedded system applications (IoT, CPS).

Main Results:

Existing G-IDS exhibit varied capabilities in balancing security, performance, and energy efficiency.
Resource-constrained environments necessitate tailored G-IDS approaches.
Trade-offs between energy consumption, system performance, and detection accuracy are evident across surveyed systems.

Conclusions:

Further research is needed to optimize energy-performance-security trade-offs in G-IDS.
Standardized evaluation methodologies for G-IDS on embedded systems are beneficial.
Developing adaptable G-IDS is key for future secure and sustainable networked environments.