Biometric Security in Remote Work Areas

By: KV Sai Mounish, Department of computer science and technology, Madanapalle Institute Of Technology and Science, 517325, Angallu, Andhra Pradesh.

ABSTRACT –

Such transitions as the shift to teleworking due to less traditional circumstances such as COVID-19 pandemics call for more solid ways of safeguarding corporate info and the sanctity of teleworking operations. It is proved that security based on biometrics has become an effective means of addressing some of the most critical organizational challenges related to the conditions of remote work. In this article, we chosen the issue of applying biometric security systems in the areas of remote employment and define the prospects for enhancing security, users’ recognition, and data safeguard. Facial recognition, fingerprint scanning, and voice recognition are more secure as compared to password or PIN, where sometimes a person forgets the password, someone else may set it for him or her, or someone hacks the password. Since biometric systems employ biological characteristics, which are unique to every individual, the security of the identification process is guaranteed and relatively easy to implement thereby denying unauthorized personnel access and compromising information.

This article presents a brief idea about the biometric security in the remote working zones and or narrates some of the instance processes of the future possibility. Thus, the goal of this article is to describe the benefits and risks of utilizing biometric security, as well as to proffer preliminary suggestions for those organizations which interested in enhancement security of remote employees and information in particular.

KEYWORDS –

COVID-19, Security, Facial Recognition, Fingerprint, Password, Unauthorized access, Biometric Systems.

INTRODUCTION –

The recent phenomena of teleworking that became prevalent due to the extraordinary circumstances such as the COVID-19 pandemic has raised the issues of needing better methods to safeguard business information and guarantee the efficiency of remote working. Remote work has been found to be insecure when using normal security features like passwords and PINs mainly due to forgetting them, theft, and hacking. This, in turn, mandates that better and much more secure means of authentication than what is being used currently have to be implemented. Thus, biometric security systems have become one of the solutions that guarantee a high level of security when using individual biological characteristics for identification.

Facial and fingerprint recognition, voice recognition all being better security means than the typical tradition approaches. Such technologies use attributes that are particular to a system to make it much harder for an invader to break into a network and gain access to all the important data and networks. Unlike passwords that are fixed or can be disclosed, biometric data is rather distinct for each person thus improving the identification process’s security and ME implementation. Applying biometric security system in work zones that are distant from the company’s main office has its benefits. Due to this, it enhances the overall procedure for authentication, making it easier for the employees to gain access into the corporate resources without the usual tiresomeness of password details. In addition, by means of interfaces the biometric systems do not disturb the existing remote work tools and platforms and can be easily integrated into a corresponding program that does not interrupt work processes.

OVERVIEW

Security can be boosted when biometric security systems are installed in the remote working areas because the approach is reliable, person-specific and convenient. But, before and during the implementation part, there are some possible difficulties that one should take into consideration to avoid any incompatibility with existing systems[1]. They are:

IMPLEMENTATION:

1. Assessment and Planning

Evaluate Needs: weakly possible tangible security risks and requirements for the decentralization of work. Choose more than one biometric feature like the face recognition, fingerprint scan.

Technology Assessment: Determine if the existing biometric equipments can work with the present or anticipated systems and supports.

2. Choosing Biometric Modalities

Facial Recognition: Seeing the face through the Webcam or any camera that you want for facial recognition depending on the face features. It is most suitable in systems where the users engage with cameras most of the time.

Fingerprint Scanning: It has adopted the use of fingerprints scanning gadgets for identification of the clients. Useful experience if the user has direct interaction with the fingerprint scanning devices[2].

Voice Recognition: This consists evaluating the qualities of the voice. Especially for the systems into which the users interact through the voice, for instance, phoning and VoIP instances.

3. System Integration

API Integration: Ensure that the biometric system that you choose is compatible with the other remote working solutions that you are using and your security system.

Software and Hardware Compatibility: Make sure the biometric hardware for instance the fingerprint scanner and other related gadgets, it consists of the software.

4. User Enrollment

Data Collection: Obtain various details from the users including finger prints, palm prints, Scanners of the iris and the facial features of the users during its registration process. Ensure that collecting process is safe to the collected data and does not infringe any policies to do with privacy.

Template Storage: This means that, store biometric templates in databases

5. Authentication and Access Control

Biometric Authentication: The following should be applied in order to give or reject access based on the users biometric data:

Multi-Factor Authentication: Integrate the biometric authentication with other security details such as the PINs password etc. that will in equal measure improve security[3].

6. Security and Privacy

Data Protection: Create a stringent security protocol in order not to reveal a person’s identity and other related information to any unauthorized personnel.

7. User Training and Support

Training: Inform the employees about the new development on the biometric system and assure them that they had apprehensions and doubt on the same system.

Support: Are obliged to give assistance in the event of issues connected with the work of biometric identification and the following action[4].

8. Monitoring and Maintenance

System Monitoring: They should also make sure that the biometric system is effectively functional as to its performance and security from time to time. Any inequities or possibly vulnerable areas should be resolve desperately and mostly they contain a measure of both.

Updates and Maintenance: To beat new threats of attacks and to work the system effectively you have to change the biometric software and the hardware used so often[5].

So the remote security integration in biometric systems is shown in Figure 1.

CONCLUSION –

Therefore, conforming to the trends of teleworking because of the extraordinary situations like COVID-19 pandemic, it is essential to initiate security measures to guarantee the security of corporate data and the efficacy of telework processes. Biometric security systems are considered to be one of the newest and most effective solutions for many of the biggest organizational issues in the context of a remote workplace. In this article, the author has discussed about the usage of biometric security in volumetric working profiled and its capability of winning security, user identification, and data safeguard also.

Techniques such as face recognition, fingerprint scanning, and voice recognition present a far higher level of security than password/PIN protection. These technologies utilize specific attributes of the body; the identification process is not only secure but also easy to perform, consequently, no one but the authorized personnel gains access to such data. Understanding of Biometric security and its potential in further increasing the security in remote working environments is discussed in this article. Thus, the findings of this article would provide a preliminary guideline for organizations that are planning to implement biometric security measures for enhancing the security of their remote workers and fortifying their data protection systems. It will therefore be important to note that as teleworking emerges more strongly, then biometric security systems will be of very vital importance in ensuring that the confidentiality and the integrity of corporate information are always maintained.

REFERENCES –

1. S. Arora and M. P. S. Bhatia, “Challenges and opportunities in biometric security: A survey,” Inf. Secur. J. Glob. Perspect., vol. 31, no. 1, pp. 28–48, Jan. 2022, doi: 10.1080/19393555.2021.1873464.
2. M. Hernández de Menéndez, R. Morales-Menendez, C. Escobar, and J. Arinez, “Biometric applications in education,” Int. J. Interact. Des. Manuf. IJIDeM, vol. 15, Sep. 2021, doi: 10.1007/s12008-021-00760-6.
3. E. Marasco, M. Albanese, V. V. R. Patibandla, A. Vurity, and S. S. Sriram, “Biometric multi-factor authentication: On the usability of the FingerPIN scheme,” Secur. Priv., vol. 6, no. 1, p. e261, 2023, doi: 10.1002/spy2.261.
4. T. Haksoro, A. S. Aisjah, Sreerakuvandana, M. Rahaman, and T. R. Biyanto, “Enhancing Techno Economic Efficiency of FTC Distillation Using Cloud-Based Stochastic Algorithm,” Int. J. Cloud Appl. Comput. IJCAC, vol. 13, no. 1, pp. 1–16, Jan. 2023, doi: 10.4018/IJCAC.332408.
5. L. Triyono, R. Gernowo, P. Prayitno, M. Rahaman, and T. R. Yudantoro, “Fake News Detection in Indonesian Popular News Portal Using Machine Learning For Visual Impairment,” JOIV Int. J. Inform. Vis., vol. 7, no. 3, pp. 726–732, Sep. 2023, doi: 10.30630/joiv.7.3.1243.
6. Gupta, B. B., Gaurav, A., & Arya, V. (2024). Fuzzy logic and biometric-based lightweight cryptographic authentication for metaverse security. Applied Soft Computing, 164, 111973.
7. Peng, J., Yang, B., Gupta, B. B., & Abd El-Latif, A. A. (2021). A biometric cryptosystem scheme based on random projection and neural network. Soft Computing, 25, 7657-7670.

Cite As

Mounish K.V.S. (2024) Biometric Security in Remote Work Areas, Insights2Techinfo, pp.1

735200cookie-checkBiometric Security in Remote Work Areasyes