OTP and Facial Recognition Features

Discuss about the OTP and Facial Recognition Features.

CIA stands for confidentiality, Integrity and Availability is known to be well known model for various kinds of security policies (Singh & Kaur, 2016). This model works well for the various kinds of ATM machines. Confidentiality generally ensures the various sensitive information which can be accessed by a particular kind of person. It focuses on implementation of security mechanism like username, access control, password. It is also considered to be common for information which is mainly recognized for the extent of damage which can easily fall into the intended hands. Integrity mainly ensures that a particular kind of information are provided in right quantity of format which is considered to be true and correct for original purposes (Peltier, 2016). The receiver of this kind of information should have proper kind of information regarding creation of intend. The information can be easily edited by an edited by any authorized person and only remains in original state when it in rest. Integrity is generally implemented by making use of security mechanism like data encryption and hashing.

 Availability generally ensures that various kinds of information and resources are made available for the list of person who need to implement it. It is generally implemented by making use of various kinds of methods like software, maintenance of hardware, software for patching and optimization of network (Pathak et al., 2015). Various kinds of process like redundancy, RAID and availability of large of cluster is generally used for mitigation of risk when large number of large number of hardware issues are encountered. Dedicated hardware of service is generally used for downtime and unreachable data for various kinds of malicious action like distribution denial of services.

The keyboard of an ATM machine contains ten numerical keys ranging from 0 to 9 and some other kinds of keys which are assigned for some kinds of specific tasks. The case described in the question paper is a situation in which thief has already five keys of number so more five number of numerical keys are available (Onyesolu & Okpala, 2017). The pin number for a ATM machine generally consist of four digits which relates us to the fact that four keys are to be selected from five keys which are left unbroken in the keypad. For tackling this particular situation, we are making use of permutation and combination for calculating the number of attempts which can be easily made.

^5P_{4 =} 5! / (5-4)! =5! /1! = (5*4*3*2*1)/1=120.

The above calculation relates us to the fact that 120 number of attempts can be easily made for tackling the situation.

There are generally large number of benefits can be obtained from idea of biometric on the contrary large number of problems can be easily tackled (Koteswari & Paul, 2017). The three important kinds of reasons behind the reluctant use of biometric are the following:

• The main reason behind the use of biometric is the idea of security. In the case of biometric the information of a particular kind of person can be easily stored in the database (Karovaliya et al., 2015). Now if the database of a particular system is hacked then it can easily affect an individual.
• Various kinds of errors can be easily being encountered in the technology is the various kinds of errors. The main properties which are encountered are false rejection and false entry.
• Another important kind of parameter which is encountered is the concept or idea of mapping (Karovaliya et al., 2015). Mapping is the system is mainly done by making use of fingerprint. In this situation the system needs to be very much accurate.

Gradient biometric in the domain of biometric has been considered to have experience of more than 10 years (Karovaliya et al., 2015). This organization focus on three important aspects of biometric are comfort, availability and lastly safety. The network and linkage between information provides proper kinds of accesses to large number of information. Multifactor authentication is well known thing in biometric.

A false kind of negative is kind of approach in which various kinds of biometric cannot get accesses to the location of biometric. In this a situation the identity of a person can be easily stored in the various kinds of database (Betab & Sandhu, 2014). In some of the cases it is seen the access is not provided to a person as a result of some kinds of technical issues. Concept of miss identity can easily arise if false person can easily get identity of a person. The first issues which can be encountered is identity of a person is not known (Ali, 2016). Second kind of issues which can be encountered is loss of identity of person. There are large number of illegal activity that can be performed in recent times is the use of biometric (Jebaline & Gomathi, 2015). Considering the level of organization, it has the power to shut down the overall infrastructure, along with various kinds of things which is needed for storing of data (Ray, Das & Sen, 2015). It comes up restoring of large number of services which is needed for this particular concept or idea.

References

Ali, P. I. (2016). Impact of automated teller machine on banking services delivery in Nigeria: a stakeholder analysis. Brazilian Journal of Education, Technology and Society (BRAJETS), 9(1), 64-72.

Betab, G., & Sandhu, R. K. (2014). Fingerprints in Automated Teller Machine-A Survey. International Journal of Engineering and Advanced Technology (IJEAT) ISSN: 2249, 8958.

Jebaline, G. R., & Gomathi, S. (2015, March). A novel method to enhance the security of ATM using biometrics. In Circuit, Power and Computing Technologies (ICCPCT), 2015 International Conference on (pp. 1-4). IEEE.

Karovaliya, M., Karedia, S., Oza, S., & Kalbande, D. R. (2015). Enhanced security for ATM machine with OTP and Facial recognition features. Procedia Computer Science, 45, 390-396.

Koteswari, S., & Paul, P. J. (2017). A Survey: Fusion of Fingerprint and Iris for ATM services.

Onyesolu, M. O., & Okpala, A. C. (2017). Improving Security Using a Three-Tier Authentication for Automated Teller Machine (ATM). International Journal of Computer Network and Information Security, 9(10), 50.

Pathak, S. K., Pathak, S. K., Mishra, M. K., Kesharwani, L., & Gupta, A. K. (2015). Automated Teller Machine (ATM) Frauds and Security. EDITORIAL BOARD, 192.

Peltier, T. R. (2016). Information Security Policies, Procedures, and Standards: guidelines for effective information security management. CRC Press.

Ray, S., Das, S., & Sen, A. (2015, December). An intelligent vision system for monitoring security and surveillance of ATM. In India Conference (INDICON), 2015 Annual IEEE (pp. 1-5). IEEE.

Singh, S., & Kaur, S. (2016). Enhancing ATM Security Using Fusion of Biometric Techniques. IITM Journal of Management and IT, 7(1), 79-82.

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