Name
Abstract | ||
|---|---|---|
This paper explores the effectiveness of common sound masking solutions deployed for preserving speech privacy in workplace environment such as hospitals, financial institutions, lawyers offices, nursing homes and government buildings. With the increased awareness about personal privacy among the general population, we set out to examine the effectiveness of current speech privacy preserving tools. We seek to determine if the general approach used by the current masking mechanisms is adequate to provide the level of privacy desired from these solutions. In addition, we also seek to investigate preservation of speech privacy in the face of ubiquitous and less conspicuous devices like smartphones that possess the capability of sound recording with inbuilt noise cancellation technology. Our approach in this paper is to expose the vulnerability in sound masking technology in scenarios that require preserving privacy in personal spaces. We use human listeners to attack speech privacy under sound masking where we aim to identify spoken words eavesdropped under different scenarios. We also test currently available speech recognition tools to assess their performance at decoding speech in noisy environment. Our results indicate that pink noise, the commonly used technology to provide speech privacy for use in personal space, is ineffective against a dedicated eavesdropping adversary that uses commonplace devices such as smartphones to record the speech and noise reduction tools to counteract sound masking. |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/PST47121.2019.8949053 | 2019 17th International Conference on Privacy, Security and Trust (PST) |
Keywords | Field | DocType |
personal space,common sound masking solutions,personal privacy,current speech privacy,current masking mechanisms,sound masking technology,speech recognition tools,noise reduction tools,continuous masking,spoken words,pink noise | Population,Internet privacy,Eavesdropping,Masking (art),Sound masking,Computer security,Computer science,Adversary,Active noise control,Sound recording and reproduction,Vulnerability | Conference |
ISSN | ISBN | Citations |
2574-139X | 978-1-7281-3266-2 | 0 |
PageRank | References | Authors |
0.34 | 1 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| S. Abhishek Anand | 1 | 3 | 1.74 |
| Payton Walker | 2 | 2 | 1.05 |
| Nitesh Saxena | 3 | 1204 | 82.45 |