Statistical Data Mining for Security System Allocation in Terrorist Attacks

Abstract

Data mining is the process of posing queries and extracting patterns, often previously unknown from large quantities of data using pattern matching or other reasoning techniques. It has many applications in security including for national security as well as for cyber security. Security allocation is one of the possibilities of averting terrorist attacks. This paper examines the effect of framing on decision making in a homeland security across the highly terrorist attacking countries to propose a formal model to allocate the security forces. The allocation is mainly based on the probability of attacking countries to prevent the attack.

Key words: Data mining, security allocation, counterterrorism.