Cybersecurity Framework for P300-based Brain Computer Interface

Research output: Chapter in Book/Report/Conference proceedingConference contribution

8 Citations (Scopus)


This paper describes a cybersecurity framework for protecting brain computer interface (BCI) technology. This framework consists of cybersecurity risk scenarios related to user safety/privacy and best practices to manage them. This framework provides solutions for privacy and safety issues of the existing noninvasive BCIs (e.g., electroencephalography (EEG)-based BCI). We chose to design a P300-based BCI application because it is the most popular modality, simulate some common cybersecurity attacks, and find a relevant solution to protect the user and/or integrated EEG hardware-software system. In this paper, we describe how cybersecurity risks could affect BCI form streaming/recording EEG signal in real-time until sending commands. We used EEG Equipment for measuring brain activity and Python programing language to build our experimental paradigm, record EEG signal, classify P300 components, send a message to another user, simulate some attacks, and find perfect solutions for assuring high BCI protection. This paper gives an overview of the framework, some description of BCI hacking challenges and their impact on BCI users as well as a preliminary demonstration of a P300-based BCI system with two common simple attacks.

Original languageEnglish
Title of host publication2020 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2020
PublisherInstitute of Electrical and Electronics Engineers Inc.
Number of pages6
ISBN (Electronic)9781728185262
Publication statusPublished - Oct 11 2020
Event2020 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2020 - Toronto, Canada
Duration: Oct 11 2020Oct 14 2020

Publication series

NameConference Proceedings - IEEE International Conference on Systems, Man and Cybernetics
ISSN (Print)1062-922X


Conference2020 IEEE International Conference on Systems, Man, and Cybernetics, SMC 2020


  • BCI privacy and safety issues
  • Brain computer interface (BCI)
  • Cyber-attacks
  • Cybersecurity
  • P300-based BCI

ASJC Scopus subject areas

  • Electrical and Electronic Engineering
  • Control and Systems Engineering
  • Human-Computer Interaction


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