A Trusted Bluetooth Performance Evaluation Model for Brain Computer Interfaces

Brain-computer interfaces in safety and security fields: Risks and applications

“…Table 5 shows the results obtained within the field "safety" or "security" or "security and safety" applying the search strings. When these results are compared with those of Table 4, it can be observed: Search string 1: the 48 results are the same as those shown in Table 4; Search string 2: of the 26 results, 23 are included within the safety field, and 3 are included within security (Belkacem & IEEE, 2020;Bernal et al, 2021;Bernal, Sergio López et al, 2022); Search string 3: the 22 results are within the 25 of the security field; Search string 4: 3 results that are within security and safety (Karim et al, 2019;Kim et al, 2021;Sciaraffa et al, 2020).…”

“…These experiments indicate that privacy concerns may be more important than security concerns in BCI-based applications. Karim et al (2019) address the study of Bluetooth operating parameters necessary to meet the performance, usability, and privacy requirements of reliable and secure mobile BCIs applications. To avoid the alteration or attack of the EEG signal during the transmission of the wireless BCI, Bhalerao et al (2020) introduce a security lock-in between the EEG recording system and the processing system.…”

End-to-end trustworthy ML for multidomain operations

“…We formally define trustworthiness as a function of threats (ρ) impacting a specific set of attack surfaces (µ) and mitigated with countermeasures (κ) that have a specific effectiveness (ε) as described in Eq. (2).…”