Liveness Test
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Liveness Test
A liveness test, liveness check or liveness detection is an automated means of checking whether a subject is a real person or part of a spoofing attack. In a video liveness test, users are typically asked to look into a camera and to move, smile or blink, and features of their moving face may then be compared to that of a still image. Artificial intelligence is used to counter presentation attacks such as deepfakes or users wearing hyperrealistic masks, or video injection attacks. The technique is used as part of know your customer checks in financial services and during facial age estimation. Other forms of liveness test include checking for a pulse when using a fingerprint scanner or checking that a person's voice is not a recording or artificially generated during speaker recognition. See also * Artificial intelligence content detection * Biometric spoofing * Electronic authentication * Identity verification service * Multi-factor authentication Multi-factor authentica ...
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Spoofing Attack
In the context of information security, and especially network security, a spoofing attack is a situation in which a person or program successfully identifies as another by falsifying data, to gain an illegitimate advantage. Internet Spoofing and TCP/IP Many of the protocols in the TCP/IP suite do not provide mechanisms for authenticating the source or destination of a message, leaving them vulnerable to spoofing attacks when extra precautions are not taken by applications to verify the identity of the sending or receiving host. IP spoofing and ARP spoofing in particular may be used to leverage man-in-the-middle attacks against hosts on a computer network. Spoofing attacks which take advantage of TCP/IP suite protocols may be mitigated with the use of firewalls capable of deep packet inspection or by taking measures to verify the identity of the sender or recipient of a message. Domain name spoofing The term 'Domain name spoofing' (or simply though less accurately, 'Domain ...
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ACM Digital Library
The Association for Computing Machinery (ACM) is a US-based international learned society for computing. It was founded in 1947 and is the world's largest scientific and educational computing society. The ACM is a non-profit professional membership group, reporting nearly 110,000 student and professional members . Its headquarters are in New York City. The ACM is an umbrella organization for academic and scholarly interests in computer science (informatics). Its motto is "Advancing Computing as a Science & Profession". History In 1947, a notice was sent to various people: On January 10, 1947, at the Symposium on Large-Scale Digital Calculating Machinery at the Harvard computation Laboratory, Professor Samuel H. Caldwell of Massachusetts Institute of Technology spoke of the need for an association of those interested in computing machinery, and of the need for communication between them. ..After making some inquiries during May and June, we believe there is ample interest to ...
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Identity Theft
Identity theft, identity piracy or identity infringement occurs when someone uses another's personal identifying information, like their name, identifying number, or credit card number, without their permission, to commit fraud or other crimes. The term ''identity theft'' was coined in 1964. Since that time, the definition of identity theft has been legally defined throughout both the UK and the United States, U.S. as the theft of personally identifiable information. Identity theft deliberately uses someone else's personally identifiable information, identity as a method to gain financial advantages or obtain credit and other benefits. The person whose identity has been stolen may suffer adverse consequences, especially if they are falsely held responsible for the perpetrator's actions. Personally identifiable information generally includes a person's name, date of birth, social security number, driver's license number, bank account or credit card numbers, Personal identification ...
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Deepfakes
''Deepfakes'' (a portmanteau of and ) are images, videos, or audio that have been edited or generated Generative artificial intelligence, using artificial intelligence, AI-based tools or AV editing software. They may depict real or fictional people and are considered a form of synthetic media, that is media that is usually created by artificial intelligence systems by combining various media elements into a new media artifact. While the act of creating fake content is not new, deepfakes uniquely leverage machine learning and artificial intelligence techniques, including Facial recognition system, facial recognition algorithms and artificial Neural network (machine learning), neural networks such as variational autoencoders (VAEs) and generative adversarial networks (GANs). In turn, the field of image forensics develops techniques to Artificial intelligence content detection, detect manipulated images. Deepfakes have garnered widespread attention for their potential use in creat ...
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Spoofing Attack
In the context of information security, and especially network security, a spoofing attack is a situation in which a person or program successfully identifies as another by falsifying data, to gain an illegitimate advantage. Internet Spoofing and TCP/IP Many of the protocols in the TCP/IP suite do not provide mechanisms for authenticating the source or destination of a message, leaving them vulnerable to spoofing attacks when extra precautions are not taken by applications to verify the identity of the sending or receiving host. IP spoofing and ARP spoofing in particular may be used to leverage man-in-the-middle attacks against hosts on a computer network. Spoofing attacks which take advantage of TCP/IP suite protocols may be mitigated with the use of firewalls capable of deep packet inspection or by taking measures to verify the identity of the sender or recipient of a message. Domain name spoofing The term 'Domain name spoofing' (or simply though less accurately, 'Domain ...
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Multi-factor Authentication
Multi-factor authentication (MFA; two-factor authentication, or 2FA) is an electronic authentication method in which a user is granted access to a website or application only after successfully presenting two or more distinct types of evidence (or factors) to an authentication mechanism. MFA protects personal data—which may include personal identification or financial assets—from being accessed by an unauthorized third party that may have been able to discover, for example, a single password. Usage of MFA has increased in recent years. Security issues which can cause the bypass of MFA are fatigue attacks, phishing and SIM swapping. Accounts with MFA enabled are significantly less likely to be compromised. Authentication factors Authentication takes place when someone tries to log into a computer resource (such as a computer network, device, or application). The resource requires the user to supply the identity by which the user is known to the resource, along wit ...
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Identity Verification Service
An identity verification service is used by businesses to ensure that users or customers provide information that is associated with the identity of a real person. The service may verify the authenticity of physical identity documents such as a driver's license, passport, or a nationally issued identity document through documentary verification. Additionally, also involve the verification of identity information (fields) against independent and authoritative sources, such as a credit bureau or proprietary government data. Background Identity verification services were developed to help companies comply with Anti-Money Laundering (AML) and Know Your Customer (KYC) rules, identity verification is now a vital component to the transaction ecosystems of eCommerce companies, financial institutions, online gaming, and even social media. Through adopting digital fraud prevention methods, businesses can achieve AML and KYC compliance while addressing the risks associated with fraud. In fi ...
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Electronic Authentication
Electronic authentication is the process of establishing confidence in user identities electronically presented to an information system. Digital authentication, or e-authentication, may be used synonymously when referring to the authentication process that confirms or certifies a person's identity and works. When used in conjunction with an electronic signature, it can provide evidence of whether data received has been tampered with after being signed by its original sender. Electronic authentication can reduce the risk of fraud and identity theft by verifying that a person is who they say they are when performing transactions online. Various e-authentication methods can be used to authenticate a user's identify ranging from a password to higher levels of security that utilize multi-factor authentication (MFA). Depending on the level of security used, the user might need to prove his or her identity through the use of security tokens, challenge questions, or being in possession of ...
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Biometric Spoofing
A biometric device is a security identification and authentication device. Such devices use automated methods of verifying or recognising the identity of a living person based on a physiological or behavioral characteristic. These characteristics include fingerprints, facial images, iris and voice recognition. History Biometric devices have been in use for thousands of years. Non-automated biometric devices have in use since 500 BC, when ancient Babylonians would sign their business transactions by pressing their fingertips into clay tablets. Automation in biometric devices was first seen in the 1960s. The Federal Bureau of Investigation (FBI) in the 1960s, introduced the Indentimat, which started checking for fingerprints to maintain criminal records. The first systems measured the shape of the hand and the length of the fingers. Although discontinued in the 1980s, the system set a precedent for future Biometric Devices. Subgroups The characteristic of the human body is ...
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Artificial Intelligence Content Detection
Artificial intelligence detection software aims to determine whether some Content creation, content (text, image, video or audio) was Generative artificial intelligence, generated using artificial intelligence (AI). However, this software is often unreliable. Accuracy issues Many AI detection tools have been shown to be unreliable when generating AI-generated text. In a 2023 study conducted by Weber-Wulff et al., researchers evaluated 14 detection tools including Turnitin and GPTZero and found that "all scored below 80% of accuracy and only 5 over 70%." They also found that these tools tend to have a bias for classifying texts more as human than as AI, and that accuracy of these tools worsens upon paraphrasing. False positives In AI content detection, a False positives and false negatives, false positive is when human-written work is incorrectly flagged as AI-written. Many AI detection platforms claim to have a minimal level of false positives, with Turnitin claiming a less t ...
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Speaker Recognition
Speaker recognition is the identification of a person from characteristics of voices. It is used to answer the question "Who is speaking?" The term voice recognition can refer to ''speaker recognition'' or speech recognition. Speaker verification (also called speaker authentication) contrasts with identification, and ''speaker recognition'' differs from '' speaker diarisation'' (recognizing when the same speaker is speaking). Recognizing the speaker can simplify the task of translating speech in systems that have been trained on specific voices or it can be used to authenticate or verify the identity of a speaker as part of a security process. Speaker recognition has a history dating back some four decades as of 2019 and uses the acoustic features of speech that have been found to differ between individuals. These acoustic patterns reflect both anatomy and learned behavioral patterns. Verification versus identification There are two major applications of speaker recognition techn ...
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Artificial Intelligence
Artificial intelligence (AI) is the capability of computer, computational systems to perform tasks typically associated with human intelligence, such as learning, reasoning, problem-solving, perception, and decision-making. It is a field of research in computer science that develops and studies methods and software that enable machines to machine perception, perceive their environment and use machine learning, learning and intelligence to take actions that maximize their chances of achieving defined goals. High-profile applications of AI include advanced web search engines (e.g., Google Search); recommendation systems (used by YouTube, Amazon (company), Amazon, and Netflix); virtual assistants (e.g., Google Assistant, Siri, and Amazon Alexa, Alexa); autonomous vehicles (e.g., Waymo); Generative artificial intelligence, generative and Computational creativity, creative tools (e.g., ChatGPT and AI art); and Superintelligence, superhuman play and analysis in strategy games (e.g., ...
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