Work place: London Metropolitan University/Cyber Research Centre, London, N7 8DB, UK
E-mail: k.ouazzane@londonmet.ac.uk
Website:
Research Interests: Artificial Intelligence
Biography
Professor Karim Ouazzane is a Senior Professor of Computing and Knowledge Exchange, Head of Research and Enterprise, Chair of the European Cyber Security Council (Brussels), and founder of the Cyber Security Research Centre (CSRC), London Metropolitan University, London, UK. His research interests include artificial intelligence (AI) applications, Cyber security, bimodal speech recognition for wireless devices, big data, computer vision, hard and soft computing methods, flow control and metering, optical instrumentation and lasers. He has carried out research in collaboration with industry through a number of research schemes such as The Engineering and Physical Sciences Research Council (EPSRC), KTP, EU Tempus, LDA (London Development Agency), KC (Knowledge Connect) and more. He has also published over 150 papers, three chapters in books, is the author of three patents and has successfully supervised 25 PhDs.
By Anthony Phipps Karim Ouazzane Vassil Vassilev
DOI: https://doi.org/10.5815/ijcnis.2022.03.01, Pub. Date: 8 Jun. 2022
Although authentication of users of digital voice-based systems has been addressed by much research and many commercially available products, there are very few that perform well in terms of both usability and security in the audio domain. In addition, the use of voice biometrics has been shown to have limitations and relatively poor performance when compared to other authentication methods. We propose using audio steganography as a method of placing authentication key material into sound, such that an authentication factor can be achieved within an audio channel to supplement other methods, thus providing a multi factor authentication opportunity that retains the usability associated with voice channels. In this research we outline the challenges and threats to audio and voice-based systems in the form of an original threat model focusing on audio and voice-based systems, we outline a novel architectural model that utilises audio steganography to mitigate the threats in various authentication scenarios and finally, we conduct experimentation into hiding authentication materials into an audible sound. The experimentation focused on creating and testing a new steganographic technique which is robust to noise, resilient to steganalysis and has sufficient capacity to hold cryptographic material such as a 2048 bit RSA key in a short audio music clip of just a few seconds achieving a signal to noise ratio of over 70 dB in some scenarios. The method developed was seen to be very robust using digital transmission which has applications beyond this research. With acoustic transmission, despite the progress demonstrated in this research some challenges remain to ensure the approach achieves its full potential in noisy real-world applications and therefore the future research direction required is outlined and discussed.
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