De-anonymizing the internet using unreliable IDs

Sistemas de Detección de Intrusos (Ids), Seguridad en Internet

Los sistemas de detección de intrusos no son precisamente nuevos, el primer trabajo sobre esta materia data de 1980; no obstante, este es uno de los campos con mayor auge desde hace algunos años dentro de la seguridad informática. La capacidad para detectar y responder ante los intentos de ataque contra los sistemas es realmente interesante; durante este tiempo, cientos de investigadores de tod...

De-anonymizing Genomic Databases Using Phenotypic Traits

People increasingly have their genomes sequenced and some of them share their genomic data online. They do so for various purposes, including to find relatives and to help advance genomic research. An individual’s genome carries very sensitive, private information such as its owner’s susceptibility to diseases, which could be used for discrimination. Therefore, genomic databases are often anony...

De-anonymizing social networks

The problem of de-anonymizing social networks is to identify the same users between two anonymized social networks [7] (Figure 1). Network de-anonymization task is of multifold significance, with user profile enrichment as one of its most promising applications. After the deanonymization and alignment, we can aggregate and enrich user profile information from different online networking service...

De-anonymizing D4D Datasets

Recent research on de-anonymizing datasets of anonymized personal records has not deterred organizations from releasing personal data, often with ingenuous attempts at defeating de-anonymization. Studying such techniques provides scientific evidence as to why anonymization of high dimensional databases is hard and throws light on what kinds of techniques to avoid. We study how to de-anonymize d...

De-anonymizing Social Network Neighborhoods Using Auxiliary and Semantic Information