By: KV Sai Mounish, Department of computer science and technology, Student of computer science and technology, Madanapalle Institute Of Technology and Science, 517325, Angallu, Andhra Pradesh.
ABSTRACT-
Security through biometric has been rapidly growing in the last decade due to technological enhancements as well as the need for high security. This paper aims to identify the possible developments in the field of biometric security and to examine innovations that are expected to make the biggest impact in the near future. These are the use of Artificial Intelligence and Machine learning for better accuracy and fraud detection, the employment of Multimodal Biometric System for high reliability, and the use of Decentralized Biometric Data stores to avoid privacy invasion. Further, the paper includes discussions on emerging opportunities of biometric security in novel use cases like smart city, self-driving car, and distributed ID. Based on these trends, this article captures an effective insight on the future of Biometric security the advantages and disadvantages.
KEYWORDS –
Biometric Security, Artificial Intelligence, Machine Learning, Multimodal, Privacy, Reliability.
INTRODUCTION –
Biometric identification is one of the most widespread and the most often used methods of identification, which presupposes identification of the subject based on his or her physiological or logical behavioral characteristics[1]. Unlike the other usual codes as the password, PINs and among others, the biometric technology consists of still another category which is the fingerprint, face discovery, the voice discovery and the iris discovery among others. Due to the rising development in the computational engineering, the standards concerning the security as well as the rights concerning the system data are constantly being changed.
With reference to the present factors, biometric security system has shifted to the new paradigms of prospects and potentialities because of the technological developments in the related domains. Enabled application of AI and ML promotes high accuracy as well as the rate of identifying biometric systems because the measures to counter fraud are lifted high. There are systems that use more than one modality of biometric; these are commonly known as multimodal biometric systems and are considered to be slightly more secure than the single modality ones. New trends were also observed in enhancement of Personal data protection, it led to the emergence of new algorithms of storage and processing of biometric data, for example, in distributed systems, which increase the protection against leakage and unlawful use of such data. Thus, biometric security is diversifying its need besides traditional usage, beginning to enter new industries such as smart city, self-driving cars, identity based on the block chain[2]. As this article is limited to future trends in the biometric security, this paper will discuss the technologies as well as tendencies that will possibly reconstruct the whole outlook of the aspect. Therefore, based on the evaluation of the above opportunities and threats, the author of the paper aims to give detailed prognosis of the further evolution of biometric security and, therefore, the perspective of the discussed sectors.
Advancements in Biometric Technology
The incorporation of artificial intelligence coupled with machine learning to the business has enhanced the usage of Biometric security and achieving the growth of advancement, which takes place in concert and dependability of the equipment as well as enhancing the fight against fraudster[3]. Here are some key aspects of this integration: The model shows several areas in this integration in the following manner:
Busy interval of AI coupled with ML in Biometric Security
Hence, progress in technologies such as the AI and the ML enhances on the functionalities of the biometric systems since the system actually ages and learns. Now there are possibilities to store a large amount of biometric data and their analysis, and also optimization of the learning-performance linkage. This seems quite plausible for managing the multiple and dynamic character that is typical for forms in biometric data.
Several significant boosts can be highlighted primarily concerning the efficiency and the second one is the reduction of the number of false positives.
Improved Recognition Algorithms: AI and ML have advanced to be of better algorithms that can be implemented in the identification and verification process using biometric patterns.
Advanced Fraud Detection: ANNs are capable of learning more of the cues of the fraudulent actions such as the spoofing attacks in which the biometric features used by the intruder are fake.
Adaptive Learning: The ML algorithms evolve as time goes on as they manage novel sorts of biometric data adding up to them and the novel forms of threats.
The capabilities and future enhancements of biometric technology are shown in Table 1.
Table 1 : Future enhancement of technology
Future Directions
The future improvement of the biometric security is also expressed by using the Artificial Intelligence (AI) and the Machine Learning (ML) integrated into boosting the density rate[4]. Deep learning, neural network, other AI implement in existence will, without doubts, enhance their input into the improvement of the biometric authentication. Hence, the AI together with other favorable technologies, including edge computing and the IoT, will make possible biometric processing in real-time and decentralized and thus create more numerous opportunities and perspectives for the biometric security systems’ further evolution.
Smart City and Structure of Urban Social Relations
Public Safety and Surveillance: Since the security systems in smart cities can be linked to the surveillance cameras among other gadgets, biometric security systems can be quite effective in raising the safety levels in the cities. Biometric tracking of people can be done in real-time based on facial recognition and it assists the law enforcement agencies to fight and solve crimes.
Access Control and Management: Biometric systems can be used to monitor the floors in various facility like in the building; the transport terminal and various other security sensitivity facilities.
Citizen Services: With the help of biometric authentication, one can avail multiple service that is extended to the citizens these include e-governance services, Health care services and Social security services. Self-driving vehicles and transport security.
Driver Authentication: Biometric systems can once more be fixed in the cars to assist in the identification of who is driving the car or who is present in the car in this regard both fully and partially auto-chosen cars.
Personalized User Experience: They may be used to improve the vehicles, and provide the personal content as well, based on the techniques of biometrics.
Transportation Hubs: It has been observed to boost security at the same time that it has reduced the time that is taken during boarding at the Airways, rail and other transport terminals. Security facial recognition scans can be used same as it was used on check –in kiosks, security gates and boarding gates.
Healthcare Sector
Patient Identification: Such mechanisms enable right identification of the patients thus reducing complications that come with wrong identity of the patient and therefore right treatment as considered the patient in question[5-7].
Access Control: Restriction of access to certain management positions within the ambit of healthcare institutions such as storage of drugs and patients’ records can be effected by such pre-service biometric identification.
CONCLUSION –
The advanced level of flexibility in biometric security indicates that there are acute possibilities of notable developments in the future that will reorient the entire dimension of authentication and ID verification. At the same time the biometric systems are becoming more and more complex, using multi-modal approaches and employing the artificial intelligence for improving the reliability and anti-fraud capabilities. Specifically, the development of the enhanced anti-spoofing methods and the privacy-preserving technologies will solve current issues and improve the security level. Biometric systems linking with other features such as block chain will present new opportunities for proper storage of information which will be protected against cyber threats. Looking ahead into the future, most of the efforts may be directed to develop software systems which incorporate secure mechanisms for the user and data protection as well.
Lastly, such trends mean that the coming days’ biometric security is more accurate, easier to use, and cannot be easily fooled. Following these will be essential to decision makers and biometric technology users who wish to minimize the risks that come with the technology. These values mean adapting to change and incorporating the advancements in order to build a safer and more reliable online space.
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Cite As
Mounish K.V.S (2024) Future Trends in Biometric Security, Insights2Techinfo, pp.1