Memory Requirements for the Detection of Impostor Nodes in Wireless Sensor Networks

12 pages•Published: July 18, 2022

Stefan Gruner, Dylan Krajnc and Johan Pieter van Rooyen

Abstract

This paper shows how it is at least in principle possible to detect impostor nodes in wireless sensor networks with a quite simplistic detection algorithm by purely statistical means and merely from external observation without any knowledge of the impostor’s inter- nal composition. This method, however, requires considerable volumes of internal memory for any WSN node on which such detection algorithms are supposed to be implemented.
Keywords: Wireless Sensor Networks · WSN Reliability · WSN Integrity · WSN Safety and Security · WSN Trustworthiness · Node Replication Attacks · Intrusion Detection · Probabilistic Finite Automata · Randomised Detection Algorithm · Detection Accuracy · Memory Requirements

Keyphrases: detection accuracy, intrusion detection, memory requirements, node replication attacks, probabilistic finite automata, randomised detection algorithm, wireless sensor networks, wsn integrity, wsn reliability, wsn safety and security, wsn trustworthiness

In: Aurona Gerber (editor). Proceedings of 43rd Conference of the South African Institute of Computer Scientists and Information Technologists, vol 85, pages 36-47.

Links:	https://easychair.org/publications/paper/CTn5
	https://doi.org/10.29007/8ds7

BibTeX entry

@inproceedings{SAICSIT2022:Memory_Requirements_Detection_Impostor,
  author    = {Stefan Gruner and Dylan Krajnc and Johan Pieter van Rooyen},
  title     = {Memory Requirements for the Detection of Impostor Nodes in Wireless Sensor Networks},
  booktitle = {Proceedings of 43rd Conference of the South African Institute of Computer Scientists and Information Technologists},
  editor    = {Aurona Gerber},
  series    = {EPiC Series in Computing},
  volume    = {85},
  publisher = {EasyChair},
  bibsource = {EasyChair, https://easychair.org},
  issn      = {2398-7340},
  url       = {/publications/paper/CTn5},
  doi       = {10.29007/8ds7},
  pages     = {36-47},
  year      = {2022}}

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