Liveness Detection
About Liveness Detection
How Liveness Detection Works
Types of Liveness Detection
Active Liveness Detection: A technique to detect biometric characteristics of objects through a selfie and using several gestures liveness detection technology. Active liveness detection mechanisms based on user responses to a challenge, such as moving a certain way (changing the head position, nod, blink their eyes), following an object on the screen, or moving the camera. Thus the system can ensure whether the objects are humans alive, not representations or inanimate objects.
Passive Liveness Detection: The liveness detection technology to identify and confirm a person's identity so that the users do not need to make any movements during the process. Passive liveness detection includes shining varying lights at the user, capturing short videos, examining a selfie, and hardware-assisted approaches like depth-sensing. This allows for a more practical and faster verification process, but can effectively protect against various types of presentation or spoofing attacks.
Case Studies
Identity Forgery
The authorities caught the identity forgers used for online credit applications. The perpetrator's mode of operation is to commit fraud by making fake documents and identities. The identity is used in the application to submit requirements for purchasing goods online. In addition, the perpetrators also created several false identities by self-taught through the application.
BEEZA provides Liveness Detection solutions that can be used to maintain the identity security system and ensure that the identity of the object contained in the camera is the same as the identity registered in the system, thereby preventing cases of data falsification.
Source:
Detik
Identity Theft
Theft of personal data often occurs in the current era of digitalization. Especially when personal data is misused by irresponsible people. There are still many people who do not understand the potential for crime due to leakage of personal data such as full names, places of birth, and addresses. This scam and phishing threat may occur because user data is leaked in the form of user email accounts and phone numbers, so data could potentially be exploited to send fraudulent messages.
Scam is an act of deception by trying to co nvince users, for example telling users if they win certain prizes that are obtained if they give a certain amount of money. While phishing is a scam that lures users to ask for their personal data without them knowing it by redirecting them to fake sites. In this condition, hackers can use it to get important data such as passwords and users.
From the explanation above, using Liveness Detection from BEEZA can be an option to protect our identity security system from things that violate the law, such as data theft and identity falsification used by irresponsible people.
Source:
CNN Indonesia
CONTACT OUR EXPERTS
ADDRESS
SUPPORT
PRODUCT & SOLUTIONS
REGISTERED
No. PSE : 010251.01/DJAI.PSE/05/2024