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Users can use passwords across many platforms, devices, and applications and do not need to carry an additional device. User authentication based on passwords has many advantages for both users and service providers. Passwords are used to protect these data from unauthorized access. User accounts at Internet services contain a multitude of personal data such as messages, documents, pictures, and payment information. This paper makes two contributions: (1) The proposed scheme enables password autofill without referring to any external service, which significantly limits the possibilities of an attack by adversaries when opening, reading and editing the protected document, (2) By the adoption of biometric verification techniques enabling fine-tuning of false acceptance and false rejection rates, it provides for responsible adaptation to users. In consequence the encrypted document can be unlocked with the legitimate user’s face, while for everyone else stays encrypted with a hard to crack text password. We propose to augment a common text password authentication interface to encrypted documents with a biometric facial identity verification providing highly personalized security mechanism based on pseudo-identities. The key issue is, therefore, making document passwords hard to crack. This is because a password protected document may be stolen from its host computer or intercepted while on transfer and exposed to unlimited offline attacks.
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Unlike almost all previously proposed schemes, AutoPass enables the generation of passwords that meet important real-world requirements, including forced password changes, use of pre-specified passwords, and generation of passwords meeting site-specific requirements.Įlectronic documents constitute specific units of information, and protecting them against unauthorized access is a challenging task. AutoPass has been designed to address issues identified in previously proposed password generators, and incorporates novel techniques to address these issues. This paper provides a detailed specification and analysis of AutoPass, a password generator scheme previously outlined as part of a general analysis of such schemes. a client-side scheme which generates (and regenerates) site-specific strong passwords on demand, with the minimum of user input. One way of addressing this problem is through the use of a password generator, i.e. If they follow recommended practice, users are faced with the almost insuperable problem of generating and managing a large number of site-unique and strong (i.e. StrongPassword.Text password has long been the dominant user authentication technique and is used by large numbers of Internet services.
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If macOS’ built-in Password Generator doesn’t allow you to get a random password that suits your needs, for example if you need a memorable password, you can get the StrongPassword.app for FREE from the Mac AppStore.
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