Titlebook: Research Directions in Data and Applications Security; IFIP TC11 / WG11.3 S Ehud Gudes,Sujeet Shenoi Book 2003 IFIP International Federatio

MIR

SNEER

Deductive Database Securitye combines meta-programming and partial evaluation techniques, has a number of attractive technical results associated with it, and can be used as a basis for efficient implementations of protected forms of deductive database.

神圣將軍

水汽

愛(ài)國(guó)者

cornucopia

On Security and Privacy Risks in Association Mining Algorithmsn this paper, we present a risk assessment procedure designed to control the security and privacy threats presented by association mining algorithms. The assessment procedure is based upon a new data analysis process that we introduce called Knowledge Hiding in Databases (KHD). The specific contribu

mercenary

Mining Malicious Corruption of Data with Hidden Markov Modelsf profiling databases via time series analysis to detect anomalous changes to a database. We view the history of modifications in the database as a set of time series sequences. We then examine the application of Hidden Markov models (HMMs)as a mining tool to capture the normal trend of a database’s

ANIM

1868-4238 ed on maintaining security and privacy in database systems and applications that pervade cyberspace. The areas of coverage include: .-Role-Based Access Control; .-Database Security; .-XML Security; .-Data Mining and Inference; .-Multimedia System Security; .-Network Security; .-Public Key Infrastruc

opprobrious

Peculate