Abstract
We present an interceptor for the detection of bio-mimicking Underwater Acoustic Communication (UAC). In recent years, bio-mimicking UAC is becoming a popular low probability of detection (LPD) communication method. The idea is to hide the communication by misleading the eavesdropper to classify the detected signal as a biological source and thus ignore it. Different than other LPD approaches, this allows transmission at high power since the signal can be detected by the eavesdropper. Our interceptor is based on tracking the dynamics of the source's Channel Impulse Response (CIR). In particular, assuming a real biological source moves faster and less smooth than a bio-mimicking source, we expect consecutive CIR instances of the former to be less related than that of the later. As a result, we use the cross correlation between consecutive CIRs as a detection mechanism for bio-mimicking. We test our interceptor over several motion dynamics typical for biological and man-made sources. The results show a favorable trade-off between the probability of detection and the probability of false alarm.
Original language | English |
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Title of host publication | OCEANS 2023 - Limerick, OCEANS Limerick 2023 |
Publisher | Institute of Electrical and Electronics Engineers Inc. |
ISBN (Electronic) | 9798350332261 |
DOIs | |
State | Published - 2023 |
Event | 2023 OCEANS Limerick, OCEANS Limerick 2023 - Limerick, Ireland Duration: 5 Jun 2023 → 8 Jun 2023 |
Publication series
Name | OCEANS 2023 - Limerick, OCEANS Limerick 2023 |
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Conference
Conference | 2023 OCEANS Limerick, OCEANS Limerick 2023 |
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Country/Territory | Ireland |
City | Limerick |
Period | 5/06/23 → 8/06/23 |
Bibliographical note
Publisher Copyright:© 2023 IEEE.
ASJC Scopus subject areas
- Computer Networks and Communications
- Hardware and Architecture
- Oceanography
- Automotive Engineering
- Management, Monitoring, Policy and Law
- Acoustics and Ultrasonics