Abstract--Artificial Intelligence (AI) has found its applications in a variety of environments ranging from data science to cybersecurity. AI helps break through the limitations of traditional algorithms and provides more efficient and flexible methods for solving problems. In this paper, we focus on the applications of artificial intelligence in authentication, which is used in a wide range of scenarios including facial recognition to access buildings, keystroke dynamics to unlock smartphones. With the emerging AI-assisted authentication schemes, our comprehensive survey provides an overall understanding on a high level, which paves the way for future research in this area. In contrast to other relevant surveys, our research is the first of its kind to focus on the roles of AI in authentication. Learning and neural networks are The traditional password-based authentication method has two main mechanisms used in AI. Learning is the process of slowly faded out due to its inadequate ...

In this code pattern, learn how to authenticate users on your chatbot with an SMS one-time passcode (OTP). And, some conversations are confidential, so chatbots must verify the authenticity of its users. One example of this is a customer who holds an insurance policy who uses a chatbot to get more information about that insurance policy. Sending a one-time passcode through SMS is a popular way to identify a user. This code pattern shows how to build a chatbot that authenticates users through an SMS one-time passcode.

HANOI – A researcher in Vietnam has demonstrated how he apparently fooled Apple Inc.'s face recognition ID software on its new iPhone X using a mask made with a 3D printer, silicone and paper tape. An announcement on Friday by Bkav, a Vietnamese cybersecurity firm, that it had cracked Apple's Face ID, and a subsequent video apparently showing an iPhone being unlocked when pointed at a mask, were greeted with some skepticism. Ngo Tuan Anh, Bkav's vice president, gave Reuters several demonstrations, first unlocking the phone with his face and then by using the mask. It appeared to work each time. However, he declined to register a user ID and the mask on the phone from scratch because, he said, the iPhone and mask need to be placed at very specific angles, and the mask to be refined, a process he said could take up to nine hours.