Biometric authentication is a security process that compares a person’s characteristics to a stored set of biometric data to grant access to buildings, applications, systems, and more.
Nowadays, biometrics are computerized methods of recognizing an individual based on their physiological features (e.g., fingerprints, face, retina, iris) or behavioral characteristics (e.g., gait, signature), which are the two types of biometrics.
Biometrics systems are generally classified into six types :
• Physiological biometrics
It refers to “what the person is.” They are used to measure the physical parameters of specific body parts. For example Physiological biometrics can be fingerprints, iris, retina, hand geometry, face, etc.
• Behavioral biometrics
It shows how a person is using the body for authentication. Keystroke dynamics, mouse dynamics, signature, gait, and voice are certain behavioral biometrics
This class of biometrics includes vein pattern, body odor, brain wave pattern, facial thermograph, skin luminescence, fingernail bed, ear shape, footprint, foot dynamics, lip print, lip movement, knee creases, elbow creases, sweat pores, tooth, etc.
• Soft biometrics
Certain other types of biometrics known as soft biometrics are also available. Soft biometrics is not distinct, permanent, and does not uniquely identify a person. Soft biometrics, when combined with primary biometrics like face, fingerprint, iris, and retina, gives better results in terms of security. Examples of soft biometrics include age, height, weight, body fat content, eye color, skin color, scar, tattoos, and marks. All these biometrics defines “our body as a password”. Biometric traits like fingerprint, retina, and iris have specific merits as compared to other biometrics, which makes them employed in particular applications.
It relies on the evidence of a single source of biometric information for Personal Identification. Biometric identification systems that use a single individual biometric trait for identification and verification are called unimodal systems.
Multimodal biometric systems or multi-biometric systems are those that make use of multiple physiological or behavioral characteristics for enrollment, verification, or identification.
Biometric system refers to a pattern recognition system that recognizes a person based on physiological and/or behavioral characteristic possessed by that person as the authentication factors.
The generic biometric system can be divided into five subsystems namely:
❤️Data Collection: This subsystem uses a sensor or camera to acquire the image of the biometric trait of the user.
❤️Transmission: In this subsystem, the data collected from data collection module is transmitted after compressing it, to the data storage and signal processing module.
❤️Data Storage: Stores the image and template of the user.
❤️Signal Processing: This is the most important section of the system. It performs feature extraction by image processing techniques and pattern matching operations.
❤️Decision: This subsystem presents identification or verification by using the match scores.
How to hack biometrics ?
🍎Fingerprint Technology :
Fingerprint identification is the oldest technology of all the biometric techniques. Fingerprints were already used in many countries like India, China for correct identification of a person before entering into a system (company, organization, and even for login into computer system).
Fingerprint Hacking Method :
Nowadays as technology updated various methods are use to hack fingerprint biometrics.
👀Cloning Fingerprint by Social Engineering .
👀Designing Fingerprint by 3D printers as shown here .
👀Getting fingerprint authentication data from leaked FP database
🍎Face Recognition Techniques :
Face recognition techniques in computer science are used to automatically identify or verifies the person from his digital image or by using some video frame present into the database.
Hacking Facial Recognition :
Deep fakes are major part of facial recognition hacking .Deepfakes are synthetic media in which a person in an existing image or video is replaced with someone else’s likeness. Other method is Adversarial Octopus technique .
US identity verification firm has reported thousands of people attempting to trick facial identification authentication to claim unemployment benefits from state workforce agencies. The company verifies individuals on behalf of 26 US states by using facial recognition software, and has found more than 80,000 attempts to bypass the selfie step in government ID matchups in a year by wearing masks, using deep fakes or holding up images or videos of other people.Cybercriminals use synthetic IDs to pass as legitimate users.
🍎IRIS Recognition :
IRIS recognition is the unique technique of authentication which uses the iris of the eye (the colored area that surrounds the pupil) .
Iris Recognition Hacking
Iris hacking is done by taking clear picture of target eyes .
It depends on following factors
❤️🔥Target Eyes must be bright and in fixed angle .
❤️🔥Image should be large and expanded .
❤️🔥Image of the iris with diameter of 75 pixels
❤️🔥Printout should have resolution of 1200dpi which should be printed through commercial printer .
🍎Voice recognition Hacking
👀Deepfake voice, also called voice cloning or synthetic voice, uses AI to generate a clone of a person’s voice. The technology has advanced to the point that it can closely replicate a human voice with great accuracy in tone and likeness. Through this method hackers generate voice data and which helps them to hack voice biometrics .
🍎Signature Recognition System
This technology consists of a pen and a specialized writing tablet, both connected to a computer for template comparison and verification. A high quality tablet can capture the behavioral traits such as speed, pressure, and timing while signing.
Hacking Signature Recognition
👀It can be hacked getting access to backend of signature database .
👀Tampering Signature and a lots of practice help in gaining access .
Gait is the manner of a person’s walking. People show different traits while walking such as body posture, distance between two feet while walking, swaying, etc., which help to recognize them uniquely.
Gait Recognition Hacking
👀Gait recognition hacking is not easy process , to hack this system you have to analyze the victims posture and body behavior and maintaining same figure can be help to gain access in GR system.
🍎Hand Geometry Recognition
It includes measuring length and width of palm, surface area, length and position of fingers, and overall bone structure of the hand. A person’s hand is unique and can be used to identify a person from others.
Hacking Hand Geometry Recognition
👀It is also not easy to gain access in HHG recognition , but through 3D Printed silicone hand may be can get access . In fingerprint hacking we use same 3d printed fingerprint to gain access .
🍎DNA Recognition System
Deoxyribo Neuclic Acid (DNA) is the genetic material found in humans. Every human barring identical twins, is uniquely identifiable by the traits found in their DNA, which is located in the nucleus of the cell. There are number of sources from which DNA patterns can be collected such as blood, saliva, nails, hair, etc.
Hacking DNA Recognition
👀It can be done with help of synthetic DNA and getting original DNA by physical damage .