The Analysis of Brand Identity Brand Position - amazonia.fiocruz.br

The Analysis of Brand Identity Brand Position - remarkable

Please choose a well-known brand, and use APA format. We always make sure that writers follow all your instructions precisely. Professional and Experienced Academic Writers. We have a team of professional writers with experience in academic and business writing. Many are native speakers and able to perform any task for which you need help. If you think we missed something, send your order for a free revision. You have 10 days to submit the order for review after you have received the final document. You can do this yourself after logging into your personal account or by contacting our support. All papers are always delivered on time. The Analysis of Brand Identity Brand Position

The link described herein uses data in certificate transparency CT logs to identify security certificates that are likely to be used for phishing or brand violation. The technology described uses machine vision technology to analyze the domain name in a CT log as a user would view it. The domain name in the CT log is rendered as it might appear in a web browser's address bar.

The rendered domain name is then converted to a text string using optical character recognition OCR. The text string generated by OCR is then analyzed by The Analysis of Brand Identity Brand Position brand detection system to determine whether the text string matches a brand name.

When a known brand is detected, a trust analysis is performed to determine whether the security certificate in the CT log is actually associated with the brand. Generally, security policies The Analysis of Brand Identity Brand Position be used by web services and client devices to authenticate each other. For example, a web service can follow a procedure to authenticate a client before granting access to particular resources. Similarly, the client can authenticate the web service prior to accessing the web service.

These authentication processes can use security certificates issued by a public certificate authority CA. Some authentication processes check a certificate transparency CT log to confirm that a certificate being evaluated is in the CT log. Parties running phishing websites will try to get certificates issued for their phishing sites and a record of these certificates can be made in the CT log. This summary is provided to introduce a selection of concepts in a simplified form that are further described below in the detailed description. This summary is not intended to identify key features or essential features of the claimed subject matter, nor is it intended to be used in isolation as an aid in determining the scope of the claimed subject matter.

Aspects of the technology described herein use data in certificate transparency CT logs to identify security certificates that are likely to be used for phishing or brand violation.

Machine learning can be used to identify domain names in the CT logs that are visually similar to a brand name or to the name of the legitimate website, and yet, not actually associated with the brand. Many domain names source written in Unicode. Unicode has many advantages, but a downside is the many ways it allows letters to be spoofed.

The technology described herein overcomes this problem by using machine vision technology to analyze the domain name in a CT log as a user would view it. This is achieved by rendering the domain name in a font and font size used by a browser. In one aspect, the rendering is repeated in all fonts and font sizes known to be used The Analysis of Brand Identity Brand Position web browsers.

In one aspect, the OCR Anaysis is trained using data rendered in all of the fonts in which the domain name is rendered. The font used to render the domain name may be passed to the OCR system when rendering so that an optimal character recognition may be performed. The visit web page string Branc by the OCR system should reflect how a person would read the rendered domain name. The trust analysis can look at several factors including whether the CA issuing the certificate has previously issued certificates for the brand.

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If the CA issuing the certificate has not previously issued a certificate for the brand then the certificate being evaluated may be designated as un-trustworthy. The trust analysis can also look at lists of CAs authorized by the brand to issue certificates. If the CA issuing the certificate is not on the list, then the certificate may be designated as untrustworthy. Aspects of the invention Plsition described in detail below with reference to the attached drawing figures, wherein:.

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The subject Analysiss of aspects of the technology is described with specificity herein to meet statutory requirements. However, the description itself is not intended to limit the scope of this patent. Rather, the inventors have contemplated that the claimed subject matter might also be embodied in other ways, to include different steps or combinations of steps similar to the ones described in this document, in conjunction with other present or future technologies.

Aspects of this disclosure provide an efficient approach to detect a type of impersonation that includes, for example, brand impersonation or impersonation of a person or an institution within a security certificate. Although the impersonated texts e. In various embodiments, the disclosed technology can detect impersonated texts, such as those created by using Unicode characters that appear visually similar to the original characters but may be in different language scripts.

An impersonator may add, delete, or swap characters from the legitimate entity with Unicode characters. Additionally, the impersonated text may be a stand-alone word or may be prefixed, suffixed, or embedded in a string of text in combination with additional characters. Nonconventional symbols or separators can also be used in the impersonated text to evade those anti-phishing techniques that are based on conventional separators.]