Data anonymization in R – Jan Gorecki – blog

Бесплатный анонимайзер DEEPRISM Не ворует ключи и позволяет открыть заблокированный ресурс: Вконтакте, Facebook, Одноклассники. Узнай свой ip-адрес. Веб-прокси нового поколения. Обойди интернет-цензуру. Anonymizer, anonymní surfování | www.mojeip.cz - anonymizer se nesmí používat k nelegálním, trestným a jiným účelům porušujících zákony státu z kterého uživatel přistupuje a nesmí se porušovat pravidla netetikety - administrátor ani portál nenesou žádnou odpovědnost za zneužití anonymizéru na který pouze odkazují What is Anonymizer? - Definition from Techopedia Anonymizer: An anonymizer is a proxy server that makes Internet activity untraceable. An anonymizer protects personally identifying information by hiding private information on the user's behalf. When users anonymize their personal electronic identification information it can enable: Risk minimization Taboo electronic communications Identity How to anonymize the data in SAS and R - Stack Overflow

‎The fastest app to blur and hide faces automatically using facial recognition. Add, resize and manipulate manually with really simple to use tools. Safely publish anonymized pictures on the Internet. This app let's you: - Find faces automatically using face detection and add blur, a solid color or…

An anonymizer or an anonymous proxy is a tool that attempts to make activity on the Internet untraceable. It is a proxy server computer that acts as an intermediary and privacy shield between a client computer and the rest of the Internet. Anonymize definition is - to remove identifying information from (something, such as computer data) so that the original source cannot be known : to make (something) anonymous. An anonymizer is a proxy server that makes Internet activity untraceable. An anonymizer protects personally identifying information by hiding private information on the user's behalf. When users anonymize their personal electronic identification information it can enable:

Anonymize function. Function will calculate hashes only for unique inputs and return vector of masked inputs. My version will use digest(x, algo="crc32") because it fits better into html tables, algo crc32 is not really secure. Read ?digest::digest for supported algo, also consider to salt your input vector, e.g. x=paste0("prefix",x,"suffix"). Performance improvement possible using Rcpp / C

DICOM Anonymizer Pro is the perfect solution to your DICOM anonymization needs, no matter whether you are working on just a few DICOM files, or on entire directory trees containing thousands of DICOM files. The software will automatically process all submitted content, recursively iterating through folders and subfolders if required. IP Anonymization (or IP masking) in Analytics - Google Help A technical explanation of how Analytics anonymizes IP addressesAt a glance When a customer of Analytics requests IP address anonymization, Analytics anonymizes the …