Understanding the data gathered thus far in a criminal investigation is of great importance, particularly in terms of guiding its future course. One established method of comprehen...
Data perturbation is a popular technique for privacypreserving data mining. The major challenge of data perturbation is balancing privacy protection and data quality, which are no...
This work investigates the accuracy and efficiency tradeoffs between centralized and collective (distributed) algorithms for (i) sampling, and (ii) n-way data analysis techniques i...
Software that covertly monitors a user’s actions, also known as spyware, has become a first-level security threat due to its ubiquity and the difficulty of detecting and remov...
Debra L. Cook, Ricardo A. Baratto, Angelos D. Kero...
Although there are various ways to exploit software vulnerabilities for malicious attacks, the attacks always result in unexpected behavior in program execution, deviating from wh...