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Traditional Anti-virus technology is primarily based on static analysis and dynamic monitoring. However, both technologies are heavily depended on application files, which increase the risk of being attacked, wasting of time and network bandwidth. In this study, we propose a new graph-based method, through which we can preliminary detect malicious URL without application file. First, the relationship...
Current information technology enables many organizations to collect, store, and use massive amount and various types of information about individuals. While sharing such a wealth of information presents enormous opportunities for data mining applications, data privacy has been a major barrier. Differential privacy is widely accepted as one of the strongest privacy guarantees. While many effective...
In this paper, we present an overview of our ongoing project PREDICT (Privacy and secuRity Enhancing Dynamic Information Collection and moniToring). The overall aim of the project is to develop a framework with algorithms and mechanisms for privacy and security enhanced dynamic data collection, aggregation, and analysis with feedback loops. We discuss each of our research thrusts with research challenges...
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