Abstract

Multimodal biometrics represents various categories of morphological and intrinsic aspects with two or more computerized biological characteristics such as facial structure, retina, keystrokes dynamics, voice print, retinal scans, and patterns for iris, facial recognition, vein structure, scent, hand geometry, and signature recognition. The objectives of Digital Forensics (DF), on the other hand, is to inspect digital media in a forensically sound manner with the essence of identifying, discovering, recovering, analysing the artifacts and presenting facts and suggestions about the discovered information to any court of law or civil proceedings. Because the accuracy of biometric indicators may rarely be investigated during a digital forensic investigation processes, integrating digital forensics with multimodal biometrics can enable effective digital forensic investigations on multiple captured physiological and behavioural characteristics. This paper, therefore, presents a self-adaptive approach for integrating digital forensics with multimodal biometrics. This is motivated by the fact that, as of the time of writing this paper, there is lack of effective and standardised methods for performing digital investigation across multimodal biometric indicators. In addition, there are also no proper digital forensic biometric management strategies in place. For this reason, to enable effective digital investigations on multiple captured physiological and behavioural characteristics, this paper aims at proposing a framework that is meant to facilitate the integration of DF and multimodal biometrics. The framework is also meant to enhance the analysis of potential digital evidence during investigations. Integrating multimodal biometrics and digital forensics using the proposed framework gives a promising approach to add value especially in enforcing security measures in different systems as well as a restricting factor to unauthorized access key discoveries. The integration of digital forensics with multimodal biometrics is the main focus of this paper.

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