Informatics Publishing Limited

G. Keerthana , P. Mahalakshmi , M. Nandhini , B. Devendar Rao

Abstract

The conventional authentication system only requests the user to provide the authorized account and password to log into the system once they start to use a computer or a terminal. However, under this authentication framework, the machine can only recognize the user’s identity from the login information. It lacks the information to know who is using it. The common drawback of the one-time authentication system, which people use in the daily life, is that when the user leaves the seat for a short break, i.e., to get some documents or have a drink, anyone can sneak up to the computer and pretend to be the authorized user to access their data, or do anything under a fake identity. Later on, nobody will know who used the computer. This kind of security defect is not acceptable in some applications with the sensitive data, for example, the banking financial record or the customer personal information, the military industry, and the business confidentiality. To avoid this disadvantage soft biometrics is used. Hence the project suggests the use of Soft biometrics for user identification .Only an authorized user can login, user id and password is used in the computer application.  As soon as the login process is completed soft biometrics start functioning. In soft biometrics a webcam is used that functions in the background. A webcam continuously takes the image of the person in real time and segregates the face from the whole image. Once the face is identified it keeps track of the face. Viola Jones algorithm is used to detect the face with various postures such as movement of face, etc.  The identification can also be done even with spectacles and beard and mustaches. This greatly improves the authentication process. Whenever a person moves away from his place the soft biometrics fails and looks for face. If it’s not able to find face within a short time it immediately locks the computer.

Keywords

Continuous Authentication (CA), Viola Jones Algorithm, Face Detection,

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S. Krishnakumar ¹, R. Divya ¹, N. R. Kanchana Devi ¹, G. Keerthana ¹, A. Ancy Judi ¹

Affiliations
1 School of Bio and Chemical Engineering, Department of Biomedical Engineering, Sathyabama University, Chennai 600 119, Tamilnadu, IN

Abstract

Nanotechnology is a fast growing and emerging new technology in recent years due to their extensive application. In current scenario, chemically induced synthesis of silver nanoparticles has played a significant role. In this study silver nanoparticles were produced in de-ionized water and dimethyl sulphoxide (DMSO) using D-galactose as reducing agent at 80°C. Silver nitrate (AgNO₃) was employed as the metal precursor for the synthesis of silver nanoparticles (Ag-NPs). D-galactose acted as reducing agent for the conversion of silver salts into silver ions under experimental condition. The formation of nanoparticles and Plasmon resonance kinetic energy was determined by UV - visible spectroscopy. The de-ionized water solution of D-galactose was better reductive activity in 400nm whereas DMSO solution of D-galactose in 350nm. The produced nanoparticles were subjected to perform antimicrobial efficacy against selected pathogens. D-galactose induced silver nanoparticles produced in de-ionized water exhibited higher antimicrobial activity against bacterial pathogens. Among the pathogens tested Pseudomonas aeruginosa and Salmonella paratyphi A showed maximum antibacterial activity. No activity was observed towards yeast Candida albicans. In conclusion D-galactose mediated silver nanoparticles using de-ionized water could be cost effective and eco-friendly technique for bulk production. The characterization studies are under progress to understand the size, shape and topography of the nanoparticles. Further biocompatibility and cytotoxicity studies are essential for pharmaceutical and biomedical applications.

Keywords

Silver Nanoparticles, D-Galactose, DMSO, Antimicrobial Activity, Human Pathogens.

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