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Biometric authentication is a security process that relies on the unique biological characteristics of individuals to verify they are who they say they are. Biometric authentication systems compare physical or behavioral traits to stored, confirmed, authentic data in a database. If both samples of the biometric data match, authentication is confirmed. Typically, biometric authentication is used to manage access to physical and digital resources, such as buildings, rooms and computing devices.

Biometric identification uses biometrics, such as fingerprints, facial recognition or retina scans, to identify a person, whereas biometric authentication is the use of biometrics to verify people are who they claim to be.

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A sensor is a device that measures and captures biometric data. For example, it could be a fingerprint reader, voice analyzer or retina scanner. These devices collect data to compare to the stored information for a match. The software processes the biometric data and compares it to match points in the stored data. Most biometric data is stored in a database that is tied to a central server on which all data is housed. However, another method of storing biometric data is cryptographically hashing it to allow the authentication process to be completed without direct access to the data.

Multimodal biometric authentication adds layers to an authentication process by requiring multiple identifiers, which are read simultaneously during the process. This can be considered a form of multifactor authentication (MFA), though clearly much different than the better-known form where sensitive information is entered into a mobile and/or desktop device.

Increased security without the need for key cards, access cards, passwords or personal identifaction numbers is among the advantages for organizations that choose to adopt this approach. Additionally, malicious actors who attempt to hack or fake their way through an authentication system have a harder time faking two or more unique characteristics of an individual than if they were to try faking only one.

However, this approach also comes with a few disadvantages, as high costs can be incurred when assembling and implementing the tools needed, such as scanners, computing power and storage space for biometric data. Also, it can intensify public perception that an organization is collecting and storing personal information unnecessarily, which can then be used to surveil people with or without their consent.

An electronic passport (e-passport) is the same size as a conventional passport and contains a microchip that stores the same biometric information as a conventional passport, including a digital photograph of the holder. A chip stores a digital image of the passport holder's photo, which is linked to the owner's name and other personally identifiable information. The e-passport is issued electronically by a country's issuing authority, which checks the identity of the applicant through fingerprints or other biometric information and confirms the data in the chip with the information provided by the applicant before issuing the passport.

Hospitals use biometrics to more accurately track patients and prevent mix-ups, while clinics and doctors' offices implement biometric authentication to keep their patients' information secure. Using biometric data, hospitals can create digital identities of patients that help them to store and access those patients' medical histories. This information can be used to ensure the right patient gets the right care, whether that means faster identification in emergency situations or preventing medical errors.

An identity and access management (IAM) system is a combination of policies and technology tools that collectively form a centralized means of controlling user access to important information a business has stored. IAM systems use methods like single sign-on, two-factor authentication and MFA, as well as sophisticated tools, like biometrics, analysis of behavioral characteristics, artificial intelligence and machine learning, as part of its overall strategy to make authentication more rigorous and secure.

The use of biometric authentication in payments and credit card processing is nascent and slowly expanding. The general idea is to add more security to payments without added complexities or frustrations. Examples of these biometric payments often have consumers using cards to pay for goods, but those transactions are only authorized after they scan their fingerprint, eye or face. There is more than one way to scan as well since cards can have built-in sensors to scan fingerprints, while a register or kiosk may have scanners readily available.

The advantages of biometric authentication are its convenience and security. Since biometric authentication uses unique characteristics for verification, they are difficult to replicate. Traditional methods, such as usernames, passwords or ID cards, are not as secure because they can be stolen or guessed easily. In the United States alone, business use of biometric authentication has drastically increased in recent years as more business leaders are becoming more confident in its capabilities.

While biometrics offers many advantages for particular industries, there are controversies surrounding its usage. Organizations may overlook the security of these data-driven security schemes. If bad actors capture biometric data when it is being transmitted to a central database, they can fraudulently replicate that data to perform another transaction. For example, by capturing an individual's fingerprint and using it to access a fingerprint-secured device, hackers or other bad actors could access sensitive data, such as private messages or financial information.

Another potential issue with biometric authentication is that, once a security system has been implemented, an organization may be tempted to use the system for functions beyond its original intention, which is known as function creep. For example, a company may find the technology useful for employee monitoring and management, but once a biometric system has been installed, the organization may find that it has the ability to track exactly where an employee has been.

Learn more about biometric payments, which are real-world applications of biometric authentication technology for financial transactions, and more about the pros and cons of biometric authentication. See why biometric interfaces unlock new capabilities and risks with IoT sensors and how a major facial recognition supplier built a system to identify masked faces.

The following are a few common authentication methods used for network security designed to beat cybercriminals and some of the biometric authentication technologies below are ones that you might use daily.

Voice Recognition: Voice recognition uses the tone, pitch, and frequencies that are unique to an individual to authenticate them. This is the most commonly used biometric to verify users when they contact a call center for customer service support (for example, online banking)

By combining physical and behavioral authentication, you can enhance your security posture. Even if a malicious actor manages to spoof a fingerprint, the system can detect change in behavior and deny entry. E.g., their speed of interaction with the system may be slower than the real user, or they are using keyboard shortcuts that the real user never used.

Bias: Facial recognition systems may not recognize persons of color or non-cisgender people as accurately. Many biometric systems have been trained primarily using white or white male photos. This incorporates in them an inherent bias that results in difficulty recognizing women and people of color. Poor implementation of technology or deliberate misuse can result in discrimination and exclusion. Without a proven identity proofing solution, cross-demographic performance can be unreliable.

Fears of Sharing Biometric Data: Is it acceptable for companies to sell or provide their biometric data to others, such as law enforcement, immigration enforcement, or repressive foreign governments. These privacy concerns have caused many US states to enact biometric information privacy laws. When biometrics are converted into data and stored, particularly in places or countries that have large surveillance measures, a user runs the risk of leaving a permanent digital record that can be potentially tracked by nefarious actors.

Passwords on the other hand, can be easily hackable through multiple methods. The most common is phishing attacks where hackers masquerade as a customer service rep or send an email to a user asking for their login credentials. With biometric authentication, you cannot send an accurate authentication method without being physically present or registered to that device.

Law enforcement uses different kinds of biometric data for identification purposes. State and federal agencies use fingerprints, facial features, iris patterns, voice samples, and DNA. This makes it quicker and easier for them to access confidential information. Normally law enforcement uses a trained human examiner to compare a fingerprint image to the prints on file. Today, AFIS (Automated Fingerprint Identification System) can match a fingerprint against a database of millions of prints in a matter of minutes.

Authentication is a way to verify, beyond a doubt, that a person is who theysay they are. Biometric authentication performs this verification by checkingdistinctive biological or behavioral characteristics.

An authentication system works by comparing provided data with validateduser information stored in a database. In traditional systems, thisinformation is passwords. In biometric authentication, this information isdefined as physical or behavioral traits.

Behavioral biometrics verify identity by analyzing physical and cognitivebehavior of a user. They use machine learning algorithms to determinepatterns in user behavior and activities. These patterns are then used todetect whether someone is who they say they are. 006ab0faaa