Acoustic-Based Security: A Key Enabling Technology for Wireless Sensor Networks
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Technological advances have proliferated in several sectors by developing additional capabilities in the field of systems engineering. These improvements enabled the deployment of new and smart products. Today, wireless body area networks (WBAN) are commonly used to collect humans’ information, hence this evolution exposes wireless systems to new security threats. Recently, the interest by cyber-criminals in this information has increased. Many of these wireless devices are equipped with passive speakers and microphones that may be used to exchange data with each other. This paper describes the application of the watermark-based blind physical layer security (WBPLSec) to acoustic communications as unconventional wireless link. Since wireless sensors have a limited computation power the WBPLSec is a valuable physical layer standalone solution to save energy. Actually, this protocol does not need any additional radio frequency (RF) connection. Indeed, it combines watermarking and a jamming techniques over sound-waves to create secure region around the legitimate receiver. Due to their nature, wireless communications might experience eavesdropping attacks. The analysis proposed in this paper, addresses countermeasures against confidentiality attacks on short-range wireless communications. The experiments over the acoustic air-gap channel showed that WBPLSec can create a region two meters wide in which wireless nodes are able to communicate securely. Therefore, the results favor the use of this scheme as a key enabling technology to protect the confidentiality in wireless sensor networks.
KeywordsAcoustic Physical layer security Watermarking Ultrasonic Jamming Air-gap Covert channel WBAN Secrecy capacity IoT
- 1.Breach level index. https://breachlevelindex.com.
- 2.Cost of a Data Breach Study. https://www.ibm.com/security/data-breach.
- 3.Dropbox. https://www.dropbox.com.
- 4.Equifax. https://www.equifax.com/personal.
- 5.Experian. https://www.experian.com.
- 6.Gemalto. https://www.gemalto.com.
- 7.LinkedIn. https://www.linkedin.com.
- 8.MathWorks. http://www.mathworks.com.
- 9.Report: Healthcare Industry Workers Lack Basic Cybersecurity Awareness. https://www.healthcare-informatics.com/news-item/cybersecurity/report-healthcare-employees-are-low-hanging-fruit-social-engineering-attacks.
- 10.The Worst Data Breaches of the Last 10 Years. https://www.asecurelife.com/the-worst-data-breaches-of-the-last-10-years.
- 11.IEEE Standard for Local and metropolitan area networks—Part 15.6: Wireless Body Area Networks, 2012. https://doi.org/10.1109/IEEESTD.2012.6161600.
- 12.R. J. Anderson, Security Engineering—A Guide to Building Dependable Distributed Systems, vol. 2nd, WileyNew York, 2008.Google Scholar
- 16.L. Deshotels, Inaudible sound as a covert channel in mobile devices. In: 8th USENIX Workshop on Offensive Technologies (WOOT 14). USENIX Association. San Diego, CA, (2014). https://www.usenix.org/conference/woot14/workshop-program/presentation/deshotels.
- 17.M. Frustaci, P. Pace, and G. Aloi, Securing the IoT world: Issues and perspectives. In: 2017 IEEE Conference on Standards for Communications and Networking (CSCN), pp. 246–251, (2017). https://doi.org/10.1109/CSCN.2017.8088629.
- 19.M. Guri, Y. A. Solewicz, A. Daidakulov, and Y. Elovici, MOSQUITO: Covert ultrasonic transmissions between two air-gapped computers using speaker-to-speaker communication. CoRR abs/1803.03422, 2018. arxiv:1803.03422.
- 20.M. Hanspach, and M. Goetz, On covert acoustical mesh networks in air. CoRR abs/1406.1213, 2014. arxiv:1406.1213.
- 22.Z. Harvest, B. E. SqueakyChat, Ultrasonic communication using commercial notebook computers, 2014. https://github.com/bonniee/ultrasonic/blob/master/SqueakyChat.pdf.
- 23.S. Holm, O.B. Hovind, S. Rostad, and R. Holm. Indoors data communications using airborne ultrasound. In: Proceedings (ICASSP ’05) IEEE International Conference on Acoustics, Speech, and Signal Processing, 2005, vol. 3, pp. iii/957–iii/960 Vol. 3, (2005).Google Scholar
- 24.H. Karl and A. Willig, Protocols and Architectures for Wireless Sensor Networks, Wiley-InterscienceNew York, NY, 2007.Google Scholar
- 25.F. D. Kramer and S. H. Starr, Cyberpower and National Security, Potomac BooksWashington, 2009.Google Scholar
- 26.F. Ladich. Acoustic communication in fishes: temperature plays a role. Fish and Fisheries, Vol. 19, No. 4, pp. 598–612. https://doi.org/10.1111/faf.12277. https://onlinelibrary.wiley.com/doi/abs/10.1111/faf.12277.CrossRefGoogle Scholar
- 29.W. Mao, J. He, H. Zheng, Z. Zhang, and L. Qiu, High-precision acoustic motion tracking: Demo. In: Proceedings of the 22Nd Annual International Conference on Mobile Computing and Networking, MobiCom ’16, pp. 491–492. ACM, New York, NY, USA (2016). http://doi.acm.org/10.1145/2973750.2985617.
- 30.C. Otto, A. Milenković, C. Sanders and E. Jovanov. System architecture of a wireless body area sensor network for ubiquitous health monitoring. J. Mob. Multimed., Vol. 1, No. 4, pp. 307–326, 2005. http://dl.acm.org/citation.cfm?id=2010498.2010502.
- 31.J. G. Proakis, Digital Communications, 4th ed. McGraw-HillBoston, Boston, 2000. http://www.loc.gov/catdir/description/mh021/00025305.html.
- 32.L. Rabiner and B. H. Juang, Fundamentals of Speech Recognition, Prentice-Hall IncUpper Saddle River, NJ, 1993.Google Scholar
- 33.C. Shannon, Communication theory of secrecy systems, The Bell System Technical Journal, Vol. 28, No. 4, pp. 656–715, 1949. https://doi.org/10.1002/j.1538-7305.1949.tb00928.x.MathSciNetCrossRefzbMATHGoogle Scholar
- 35.S. Soderi, Security in body networks: watermark-based communications on air-gap acoustic channel. In: 13th EAI International Conference on Body Area Networks (Bodynets2018). Oulu, Finland, 2018.Google Scholar
- 36.S. Soderi, L. Mucchi, M. Hämäläinen, A. Piva, and J.H. Iinatti, Physical layer security based on spread-spectrum watermarking and jamming receiver. Transactions on Emerging Telecommunications Technologies, Vol. 28, No. 7, 2017. http://dblp.uni-trier.de/db/journals/ett/ett28.html#SoderiMHPI17.CrossRefGoogle Scholar
- 38.Q. Wang, K. Ren, M. Zhou, T. Lei, D. Koutsonikolas, and L. Su, Messages behind the sound: real-time hidden acoustic signal capture with smartphones. In: Proceedings of the 22Nd Annual International Conference on Mobile Computing and Networking, MobiCom ’16, pp. 29–41. ACM, New York, NY (2016). 10.1145/2973750.2973765. http://doi.acm.org/10.1145/2973750.2973765.
- 39.A. Wyner, The wire-tap channel, The Bell System Technical Journal, Vol. 54, No. 8, pp. 1355–1387, 1975. https://doi.org/10.1002/j.1538-7305.1975.tb02040.x.MathSciNetCrossRefzbMATHGoogle Scholar