Analytic myopia, data disintegration and homeland insecurity

Homeland Insecurity: Datamining, Terrorism Detection, and Confidentiality

Homeland Security Data Mining and Link Analysis

Data mining is the process of posing queries to large quantities of data and extracting information often previously unknown using mathematical, statistical, and machine-learning techniques. Data mining has many applications in a number of areas, including marketing and sales, medicine, law, manufacturing, and, more recently, homeland security. Using data mining, one can uncover hidden dependen...

Another Data Insecurity package

A further commercially available encryption package for the IBM PC is analysed, and a simple breaking program is described.

Homeland Defense, Privacy-Sensitive Data Mining, and Random Value Distortion

Data mining is playing an increasingly important role in sifting through large amount of data for homeland defense applications. However, we must pay attention to the privacy issues while mining the data. This has resulted in the development of several privacy-preserving data mining techniques. The random value distortion technique is one among them. It attempts to hide the sensitive data by ra...

On US Homeland Security, Data Mining and Civil Liberties

The US Defense Department’s DARPA (Defense Advanced Research Projects Agency) has recently launched a Total Information Awareness (TIA) Initiative as part of national efforts to safeguard the US homeland from future terrorist threats. The vision behind the Initiative is to integrate public and private databases of all data relevant to monitoring the activities of potential terrorists and their ...