Airports are critical infrastructures that require special protection. Public spaces are considered vulnerable areas and a possible target for general crime as well as terrorism. Because of the latest terrorist attacks which targeted vulnerable areas in airports, it is essential to test proactive methods capable of helping to detect potential threats. In this context, there are also other illicit activities closely related to civil air transport, which must also be addressed. First, we propose a theoretical framework to explain the presence and detection of anomalous behaviors. Therefore, in this research, we start by analyzing the behavior of airport users (N = 352) in terms of “patterns of movement,” “patterns of communication,” indicators activated by the autonomic nervous system, and object adaptors. The results show significant differences in both movement and communication patterns between those who commit illegal acts and those who do not. No significant differences were found related to indicators coming from the autonomous nervous system or the object adaptors. Six significant behaviors account for the 49% of the variance in those who commit illegal activities. Three significant behaviors account for the 19% of the variance in those who possess background records.

机场是需要特殊保护的关键基础设施。公共场所被认为是易受攻击的区域，是一般犯罪和恐怖主义的可能目标。由于最近针对机场易受攻击区域的恐怖袭击，必须测试能够帮助检测潜在威胁的主动方法。在此背景下，还存在与民用航空运输密切相关的其他非法活动，也必须加以解决。首先，我们提出了一个理论框架来解释异常行为的存在和检测。因此，在这项研究中，我们从分析机场用户的行为开始（N = 352）在“运动模式”、“交流模式”、自主神经系统激活的指标和对象适配器方面。结果显示，犯下非法行为的人与未犯下非法行为的人在行动和交流模式上存在显着差异。没有发现与来自自主神经系统或对象适配器的指标相关的显着差异。六项显着行为占违法者方差的49%。三个显着行为占拥有背景记录的人的方差的 19%。