Various kinds of traffic traces, containing, e.g., packet headers, signaling messages, or authorization log-files, are needed to examine the status and performance of packet switching networks. In most cases, traces contain information that can be used identify subscribers and what kind of services they have been using. This kind of information can be usually handled only by network operator an...

Today, publication of medical data faces high legal barriers. On the one hand, publishing medical data is important for medical research. On the other hand, it is neccessary to protect peoples’ privacy by ensuring that the relationship between individuals and their related medical data remains unknown to third parties. Various data anonymization techniques remove as little identifying informati...

As decentralized computing scenarios get ever more popular, unstructured topologies are natural candidates to consider running mix networks upon. We consider mix network topologies where mixes are placed on the nodes of an unstructured network, such as social networks and scale-free random networks. We explore the efficiency and traffic analysis resistance properties of mix networks based on un...

Social networks, online communities, peer-to-peer file sharing and telecommunication systems can be modeled as complex graphs. These graphs are of significant importance in various application domains such as marketing, psychology, epidemiology and homeland security. The management and analysis of these graphs is a recurring theme with increasing interest in the database, data mining and theory...

There are a number of vectors for attack when trying to link an individual to a certain DNA sequence. Phenotypic prediction is one such vector; linking DNA to an individual based on their traits. Current approaches are not overly effective, due to a number of real world considerations. This report will improve upon current phenotypic prediction, and suggest a number of methods for defending aga...

The growing popularity of social networks has generated interesting data analysis problems. At the same time, it has raised important privacy concerns, because social networks contain personal and sensitive information. Consequently, social graphs, which express the relations between the actors in a social network, ought to be sanitized or anonymized before being published. Most work on privacy...

The node degrees of large real-world networks often follow a power-law distribution. Such scalefree networks can be social networks, internet topologies, the web graph, power grids, or many other networks from literally hundreds of domains. The talk will introduce several mathematical models of scale-free networks (e.g. preferential attachment graphs, Chung-Lu graphs, hyperbolic random graphs) ...

To build anonymization, the data anonymizer must determine following three issues: Firstly, which to be preserved? Secondly, adversary background knowledge used disclosure anonymized data? Thirdly, The usage of We have different anonymization techniques from previous three-question according and information (information utility). In other words, lead loss. this paper, we propose a general frame...