Vassil Vassilev

Work place: London Metropolitan University/Cyber Research Centre, London, N7 8DB, UK

E-mail: v.vassilev@londonmet.ac.uk

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Biography

Vassil Vassilev is a Professor in AI and Intelligent Systems and Head of the Cyber Security Research Centre at London Metropolitan University. Prof. Vassilev graduated with an MSc in Electrical Engineering from the Technical University in Sofia and obtained a PhD in Artificial Intelligence from the Bulgarian Academy of Sciences. He was active during the nineties in both academia and industry in his home country of Bulgaria. He founded the Department of Informatics at the New Bulgarian University and led several EU funded projects dedicated to the transformation of Higher Education in Bulgaria. After a couple of years in the offshore software development business, Dr. Vassilev joined the academic community in the UK with positions at the University of Northumbria, the Open University, and London Metropolitan University.

Author Articles
Securing Voice Communications Using Audio Steganography

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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