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A malicious pattern detection engine for embedded security systems in the Internet of Things.

Doohwan Oh1, Deokho Kim2, Won Woo Ro3

  • 1School of Electrical and Electronic Engineering, Yonsei University, 50 Yonsei-ro, Seodaemun-gu, Seoul 120-749, Korea. ohdooh@yonsei.ac.kr.

Sensors (Basel, Switzerland)
|December 19, 2014
PubMed
Summary

This study introduces a lightweight security system for the Internet of Things (IoT) using a novel malicious pattern-matching engine. The system optimizes performance on resource-constrained devices, achieving significant speedups for enhanced IoT security.

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Area of Science:

  • Computer Science
  • Cybersecurity
  • Network Engineering

Background:

  • The proliferation of Internet of Things (IoT) devices presents significant security challenges due to global connectivity.
  • Traditional security systems are ill-suited for IoT environments owing to limited computing power and memory constraints.
  • Resource-constrained IoT devices require specialized security solutions that balance efficacy with efficiency.

Purpose of the Study:

  • To develop a lightweight security system tailored for resource-constrained Internet of Things (IoT) devices.
  • To address the performance limitations of traditional security systems in IoT contexts.
  • To propose novel techniques for efficient malicious pattern matching in IoT security.

Main Methods:

  • Implementation of a novel malicious pattern-matching engine designed for minimal memory footprint.
  • Development of two key techniques: auxiliary shifting and early decision, to optimize matching operations.
  • Performance evaluation on resource-constrained IoT devices to assess speedup and scalability.

Main Results:

  • The proposed lightweight security system demonstrates a maximum speedup of 2.14 on an IoT object.
  • The system effectively reduces the number of matching operations, mitigating performance degradation.
  • Scalable performance was achieved even when handling a large number of malicious patterns.

Conclusions:

  • The developed lightweight security system offers an effective solution for securing Internet of Things (IoT) devices.
  • Auxiliary shifting and early decision techniques significantly enhance performance on resource-constrained platforms.
  • The system provides a viable and efficient approach to IoT cybersecurity, adaptable to numerous threat patterns.