Research Paper on "Biometrics in Everyday Life"
Research Paper 4 pages (1114 words) Sources: 3
[EXCERPT] . . . .
Biometrics in Everyday LifeBiometrics is becoming an increasingly popular method of identifying unique human characteristics as a means of authenticating an individual's identity. Where it used to be employed exclusively in crime solving endeavors and high powered corporate or government security, the science of biometrics is quickly becoming about as commonplace as the personal computer.
The science of biometrics is ultimately based on the analysis of distinctive physical traits, such as fingerprints and retinal scans; as well as personal characteristics such as physical, biological and behavioral patterns. Examples of personal characteristics include voice pattern recognition and handwriting analysis. The overall goal of biometrics is to use modern technology to identify individuals, and authenticate their identity, in a more effective and efficient manner. According to Allan Turner "Biometric recognition can be used in the identification mode or the verification mode. In the identification mode, the system identifies a person from the entire population by searching a database for a match. In the verification mode, the biometric system authenticates a person's claimed identity from his or her previously enrolled pattern" (26).
In the business world, biometrics is primarily used as a security measure to prevent unauthorized personnel from accessing confidential data. As Clarke and Furnell, explain, in business, biometrics is based "not on what the user knows, or what they carry, but who the user is, some unique characteristic." (2) One method that is becoming more and more popular is keystroke analysis, which "authenticates the user based upon their t
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Keystroke analysis studies keystroke latency, or the time between successive keystrokes, as well as hold-time characteristic, or the time to press and release a key. These factors are unique to individuals, especially as research has lead from pattern recognition approach such as linear and non-linear distance techniques, z-tests and Bayesian classifiers, to algorithms such as the feed forward multi-layered perceptions algorithm, the radial basis function algorithm, and the generalized regression neural network among others. Using neural network classifiers Clarke and Furnell were able to perform classification with an error rate of only about 12%, suggesting that this approach provides cell phone users with more and better security. Overall, "the investigation has shown that ability for classification algorithms to correctly discriminate between the majority of users with a relatively good degree of accuracy based on the hold-time of a key" (9).
Clarke and Furnell go on to describe how the data collection, classification and authentication engines would work without inconveniencing the user. The system is best used by users who use cell phones regularly and is not for users with "large variations in their handset interactions" (16). In the future, cell phones with built in videoconferencing cameras could adapt facial recognition to strengthen mobile security.
Biometrics is not just used in the business world, but it is becoming a part of home security as well. For example, according to Tracy Wilson, "Biometric security systems, like the fingerprint scanner available on the IBM ThinkPad T43, is becoming more common for home use" (1). Furthermore, biometric door locks are becoming increasingly popular in home use because they are convenient (no need to fumble around looking for keys) and they are more reliable security-wise than traditional locks. They can be used by scanning one's fingerprints, retina or other parts of the body that make an individual entirely… READ MORE
Quoted Instructions for "Biometrics in Everyday Life" Assignment:
“Biometrics - How are businesses, schools and homes using biometrics with computers.
How to Reference "Biometrics in Everyday Life" Research Paper in a Bibliography
“Biometrics in Everyday Life.” A1-TermPaper.com, 2010, https://www.a1-termpaper.com/topics/essay/biometrics-everyday-life/423927. Accessed 5 Oct 2024.
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