What is face recognition:
In recent times, there are so many new systems that are interacting in one individual’s life. Such as an individual’s face is used to unlock so many smartphones, and other devices, also it’s used for social interactions. This technology is called facial recognition. Where a human’s face is used for various purposes in the devices to recognize the identity of that particular person and this technology is very useful as well as protective and secure. The face of an individual is recognized and works as a password for so many devices and this technique plays various roles in employing biometric face recognition. An individual should not need to recognize the passwords of long characters and numbers because they can be forgotten, or stolen by mistake, as facial detection systems are active everywhere at each place like in Hospitals, Law-enforcement, organizations, Retail, enterprise, and Hospital areas of Marketing.
Face recognition system scans an individual’s face for the protection as passwords that gives an incredible and versatile individual verification process. Its application is not bound to protection concerns.
A facial recognition system records some pictures or live video images to get the proper identification of a person via some distance but it’s not required to make any physical interaction with that particular human being. The pictures are clicked and only in the formation of the nodal points, which makes a comparison with the present nodal points and police database to get the correct identification of that particular individual.
The non-contact process conducted by biometrics face recognition technology gives a safer, and fast solution as making the comparison to other bio facial recognition systems just like a fingerprint scanner, Vein Scanner, palm scanner, Iris Scanner, etc.
Facial recognition system:
controversial technology is the other name for Facial recognition software. Besides this, this technology may affect people’s privacy and security. Also, it belongs to stopping or detecting violence. And as of now, the lighting of the pandemic globally helps to slow down the spreading of COVID or any other virus.
Hence, just like another type of technology, facial recognition is not at all flexible but has so many vulnerabilities that bypass a system by making it possible. As it has been searched in the latest, it is possible to make sunglasses that are conducted to overcome facial recognition systems. Wide learning techniques which are registered to many systems are unsafe to many kinds of attacks that may impact the 3 objectives of security named as- confidentiality, integrity & availability, etc.
Why is facial recognition security worth considering?
A facial recognition system includes 2 large and multiple applications. In this process an individual is focused on the detection for identity and also is used recently in multiple observation apps like for instance- CCTV cameras etc. On the other hand, another person assures that a person is recognized successfully, which may refer to some biometric technologies, like- smartphones or smart home lockers.
Hence, there may be two different types of attacks.
Where the first attack allows the hackers to get escaped from the cameras by using different types of concealments.
And the second attack is more difficult and it also enables facial changes, identity bypass related to biometric systems which result in a home invasion.
What are the different available facial recognition solutions?
As an additional mode, it also has many machine learning algorithms which have their characteristics and vulnerabilities.
These are the widely used algorithms, commonly used in facial recognition security :
- Facial detection
- Face recognition
- Face tracking
These solutions may be digital or physical and can be executed on the internet and can also be placed inside the cameras on any device.
Let’s understand further, which industries are prone to such hacks?
- Banking Industry: All of us would have used ATMs at some point in time and it recognizes cardholders through the bio characteristics, which helps to safeguard our assets and prevent fraud.
- Surveillance: The idea of involving this face detection tool was to identify the offenders in the city streets which was implemented by the regulatory authorities.
- Search Engine: The Image search engines are also based on this technology. This tool is applied to social networks to help locate people with the given pictures.
Mode of carrying out such attacks?
These attacks and the way attacks are carried out depends on the target application. If a target application is in digital mode (like online photos/videos uploaded on social platforms), attackers may use different techniques to make changes to attack, like hair color changes, make-up changes, etc.
How to safeguard ourselves to protect facial recognition?
This method is a complex process where different security areas are to be analyzed.
Some are given below:
AI Privacy check: Attacks on infrastructure and algorithms that focus on privacy and security, like membership interference, model extraction, data collection, etc.
AI model security: This includes attacks on AI algorithms as a backdoor, poisoning, etc.
AI infrastructure: This includes attacks on applications, servers, networks, hardware, android applications, etc.
What is face recognition:
In recent times, there are so many new systems that are interacting in one individual’s life. Such as an individual’s face is used to unlock so many smartphones, and other devices, also it’s used for social interactions. This technology is called facial recognition. Where a human’s face is used for various purposes in the devices to recognize the identity of that particular person and this technology is very useful as well as protective and secure. The face of an individual is recognized and works as a password for so many devices and this technique plays various roles in employing biometric face recognition. An individual should not need to recognize the passwords of long characters and numbers because they can be forgotten, or stolen by mistake, as facial detection systems are active everywhere at each place like in Hospitals, Law-enforcement, organizations, Retail, enterprise, and Hospital areas of Marketing.
Face recognition system scans an individual’s face for the protection as passwords that gives an incredible and versatile individual verification process. Its application is not bound to protection concerns.
A facial recognition system records some pictures or live video images to get the proper identification of a person via some distance but it’s not required to make any physical interaction with that particular human being. The pictures are clicked and only in the formation of the nodal points, which makes a comparison with the present nodal points and police database to get the correct identification of that particular individual.
The non-contact process conducted by biometrics face recognition technology gives a safer, and fast solution as making the comparison to other bio facial recognition systems just like a fingerprint scanner, Vein Scanner, palm scanner, Iris Scanner, etc.
Facial recognition system:
controversial technology is the other name for Facial recognition software. Besides this, this technology may affect people’s privacy and security. Also, it belongs to stopping or detecting violence. And as of now, the lighting of the pandemic globally helps to slow down the spreading of COVID or any other virus.
Hence, just like another type of technology, facial recognition is not at all flexible but has so many vulnerabilities that bypass a system by making it possible. As it has been searched in the latest, it is possible to make sunglasses that are conducted to overcome facial recognition systems. Wide learning techniques which are registered to many systems are unsafe to many kinds of attacks that may impact the 3 objectives of security named as- confidentiality, integrity & availability, etc.
Why is facial recognition security worth considering?
A facial recognition system includes 2 large and multiple applications. In this process an individual is focused on the detection for identity and also is used recently in multiple observation apps like for instance- CCTV cameras etc. On the other hand, another person assures that a person is recognized successfully, which may refer to some biometric technologies, like- smartphones or smart home lockers.
Hence, there may be two different types of attacks.
Where the first attack allows the hackers to get escaped from the cameras by using different types of concealments.
And the second attack is more difficult and it also enables facial changes, identity bypass related to biometric systems which result in a home invasion.
What are the different available facial recognition solutions?
As an additional mode, it also has many machine learning algorithms which have their characteristics and vulnerabilities.
These are the widely used algorithms, commonly used in facial recognition security :
- Facial detection
- Face recognition
- Face tracking
These solutions may be digital or physical and can be executed on the internet and can also be placed inside the cameras on any device.
Let’s understand further, which industries are prone to such hacks?
- Banking Industry: All of us would have used ATMs at some point in time and it recognizes cardholders through the bio characteristics, which helps to safeguard our assets and prevent fraud.
- Surveillance: The idea of involving this face detection tool was to identify the offenders in the city streets which was implemented by the regulatory authorities.
- Search Engine: The Image search engines are also based on this technology. This tool is applied to social networks to help locate people with the given pictures.
Mode of carrying out such attacks?
These attacks and the way attacks are carried out depends on the target application. If a target application is in digital mode (like online photos/videos uploaded on social platforms), attackers may use different techniques to make changes to attack, like hair color changes, make-up changes, etc.
How to safeguard ourselves to protect facial recognition?
This method is a complex process where different security areas are to be analyzed.
Some are given below:
AI Privacy check: Attacks on infrastructure and algorithms that focus on privacy and security, like membership interference, model extraction, data collection, etc.
AI model security: This includes attacks on AI algorithms as a backdoor, poisoning, etc.
AI infrastructure: This includes attacks on applications, servers, networks, hardware, android applications, etc.