1. Introduction

The soft targets, the crowded places, and the objects of critical infrastructure are very vulnerable to the risk of the attack. These objects are identified as objects with a large number of visitors per day, and the situation is not as secure as the object requires [1]. These visitors are the aim of the potential attacker. The potential attacker is a man, who believes that the attack can solve the problem (problem with the political situation, the problem with the state system, the problem with the world). The attacker believes that the fear of death can solve the problem or can spread fear between other people. The attack on soft targets can disrupt the functionality of the state with fatal consequences [2].

The proposed methodology and the software tool can help us to the evaluation process of the soft targets and can help us to protect the life of the people. The main problem is that these places have open access to people all day. The open access can cause that the early detection of the attacker is difficult and a lot of people are at risk. If we can analyze the features of the object (in advance), then we will solve the problem effectively [3].

The current state of the research is described in this chapter. We have developed the static part of the assessment tool, and this static part was verified in the practice use (analyses of the soft targets in the Czech Republic). In Section 2, the attacks in the last years are described. The mathematical definition of the analysis of the soft targets is described in Section 3. Section 4 describes the case study of the shopping

centers in the Czech and Slovak Republic. The case study of the train and bus station is described in Section 5. Finally, we describe the final comparison between the shopping center analyses and the train and bus station analyses in Section 6. Finally, we summarized the conclusion in the last section.
