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Building an Authentication and Quality of Query Services in the Cloud

机译:在云中构建身份验证和查询服务的质量

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Cloud outpouring is careful when an information distributor has given sensitive data to a set of trusted agents and few o f the information is leaked and found in an unauthorized place. An enterprise data leak may be a scary proposition. Security practitioners always deal with data cloud leakage issues that arise from various ways like e-mail and different net channels. In case of information cloud leakage from trusted agents, the distributor should assess the probability that the leaked information came from one or more agents. The proposed system can identify those parties who are guilty for such cloud leakage even once the data is altered. For this the system will use data allocation ways are also can inject “realistic but fake” information records improve the identification of cloud leakage. Moreover, data can also be leaked from inside an organization through e-mail. Hence there's also a need to filter these e-mails, may be done by blocking e-mails that contain pictures, videos or sensitive data in an organization. A principle utilized in e-mail filtering is classify e-mail based mostly the fingerprints of message bodies, the white and black lists of mail addresses and the words specified to spam.
机译:当信息发布者已将敏感数据提供给一组受信任的代理,并且很少有信息泄漏并在未经授权的地方发现时,云倾注会非常小心。企业数据泄漏可能是一个可怕的提议。安全从业人员总是会处理由于各种方式(例如电子邮件和不同的网络渠道)引起的数据云泄漏问题。如果信息云从受信任的代理泄漏,则分发者应评估泄漏的信息来自一个或多个代理的可能性。提议的系统即使数据被更改,也可以识别对此类云泄漏有罪的各方。为此,系统将使用数据分配方式,也可以注入“真实但虚假”的信息记录,从而改善对云泄漏的识别。此外,数据还可以通过电子邮件从组织内部泄漏。因此,还需要过滤这些电子邮件,这可以通过阻止组织中包含图片,视频或敏感数据的电子邮件来完成。电子邮件过滤中使用的原理是主要根据邮件正文的指纹,邮件地址的黑白列表以及指定给垃圾邮件的单词对电子邮件进行分类。

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