In the modern world, innovative technologies are spreading in all spheres of people’s lives. One of the most effective and, at the same time, controversial technologies is biometrics. Due to its great popularity and implementation by various organizations, the question arises of the advantages and disadvantages of this innovation. Therefore, this work examines the rationale for the use of biometric technologies such as facial recognition or iris scanners.
Biometric technologies are used to measure and analyze such indicators of people. Among them are fingerprints, the iris of the eye, or facial recognition (Al-Waisy et al., 2016). By many, this technology is considered more reliable than a regular password. The advantage is the convenience of innovation and comparative reliability. Moreover, biometrics can contribute to such an important aspect of people’s lives as catching criminals.
Despite so many advantages of using this technology, they have one serious drawback. So, the critical aspect is that this innovation is considered invasive in relation to personality and privacy. Many people do not feel comfortable sharing their personal data. Other disadvantages may be the occurrence of problems with accuracy and system failures, and the threat of confidentiality. Hence, in a hacker attack, the personal information of the consumer can be stolen and sold on various illegal sources.
Therefore, despite the disadvantages, biometric technologies are a way to protect data effectively. Moreover, this innovation is much more reliable and convenient than setting a digital password on various devices. However, the problem of confidentiality and the threat of the dissemination of personal data of the population are the most critical. To avoid this problem, it is necessary to continuously improve and implement steps to improve biometric technologies.
Reference
Al-Waisy, A. S., Qahwaji, R., Ipson, S., Al-Fahdawi, S., & Nagem, T. A. (2018). A multi-biometric iris recognition system based on a deep learning approach. Pattern Analysis and Applications, 21(3), 783-802. Web.