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A Novel IDS with a Dynamic Access Control Algorithm to Detect and Defend Intrusion at IoT Nodes.

Moutaz Alazab1,2, Albara Awajan1, Hadeel Alazzam1

  • 1Department of Intelligent Systems, Faculty of Artificial Intelligence, Al-Balqa Applied University, Al-Salt 19385, Jordan.

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Summary
This summary is machine-generated.

A new Intrusion Detection System (IDS) for the Internet of Things (IoT) uses LSTM and Dynamic Access Control (DAC) to detect and defend against cyber threats. This advanced system achieves over 97% accuracy, enhancing IoT security.

Keywords:
Dynamic Access ControlIntrusion Detection SystemLSTMdeep learningdetection rateoptimization

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Area of Science:

  • Cybersecurity
  • Computer Networks
  • Artificial Intelligence

Background:

  • The Internet of Things (IoT) is rapidly expanding, creating a large market attractive to cybercriminals.
  • Resource-constrained IoT devices often lack robust cybersecurity features, leading to increased intrusions.
  • Existing Intrusion Detection Systems (IDS) struggle to keep pace with the evolving threat landscape in IoT environments.

Purpose of the Study:

  • To develop and evaluate a novel Intrusion Detection System (IDS) for the Internet of Things (IoT).
  • To enhance IoT security by effectively detecting and defending against a wide range of cyber threats.
  • To improve the accuracy and efficiency of intrusion detection in resource-constrained IoT environments.

Main Methods:

  • Implementation of a Long Short-Term Memory (LSTM) based Intrusion Detection System (IDS).
  • Integration of a Dynamic Access Control (DAC) algorithm for enhanced defense capabilities.
  • Mathematical analysis for model selection and optimization of the IDS.

Main Results:

  • The proposed LSTM-based IDS achieved a validation accuracy of 97.16%.
  • The system demonstrated high performance metrics, with precision, recall, and F1 scores around 97%.
  • The IDS successfully identified 14 different types of threats with a detection rate exceeding 98% and a response time under 1.2 seconds.

Conclusions:

  • The novel LSTM-based IDS with DAC offers a significant advancement in IoT security.
  • The system's high accuracy, broad threat identification, and rapid response time make it a reliable solution for protecting IoT ecosystems.
  • Optimized through mathematical analysis, this IDS effectively balances threat detection with minimized false alarms, enhancing overall IoT security.