International Journal of Computer Science & Network Security

International Journal of Computer Science & Network Security (국제컴퓨터통신보호논문지학회)
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Privacy Inferences and Performance Analysis of Open Source IPS/IDS to Secure IoT-Based WBAN

  • Amjad, Ali (Department of Information Technology, Bhauddin Zakariya University) ;
  • Maruf, Pasha (Department of Information Technology, Bhauddin Zakariya University) ;
  • Rabbiah, Zaheer (Department of Physics, Bhauddin Zakariya University) ;
  • Faiz, Jillani (Department of Information Technology, Bhauddin Zakariya University) ;
  • Urooj, Pasha (Institue of Management Sciences, Bhauddin Zakariya University)
  • Received : 2022.12.05
  • Published : 2022.12.30
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Abstract

Besides unexpected growth perceived by IoT's, the variety and volume of threats have increased tremendously, making it a necessity to introduce intrusion detections systems for prevention and detection of such threats. But Intrusion Detection and Prevention System (IDPS) inside the IoT network yet introduces some unique challenges due to their unique characteristics, such as privacy inference, performance, and detection rate and their frequency in the dynamic networks. Our research is focused on the privacy inferences of existing intrusion prevention and detection system approaches. We also tackle the problem of providing unified a solution to implement the open-source IDPS in the IoT architecture for assessing the performance of IDS by calculating; usage consumption and detection rate. The proposed scheme is considered to help implement the human health monitoring system in IoT networks

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References

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