利用模糊逻辑和本体对恐怖分子的大脑和行为进行建模

R. Vishwakarma, R. Shankar
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引用次数: 6

摘要

世界各地的安全机构都面临着恐怖主义的重大挑战。挑战在于建立帮派间的关系和帮派内部的行为。尽管安全机构维护结构化和非结构化数据,但挖掘数据库并进行预测分析仍然是一项非常困难的任务。在印度,各种恐怖组织,如基地组织、虔诚军和其他国际激进组织进行各种破坏性活动。2010年,印度有132名警察在打击武装分子和极端分子的各种行动中丧生。我们已经展示了犯罪本体-犯罪世界如何帮助建立帮派间的关系。可以对手机通话记录进行分析,本体可以将不同团伙的犯罪分子联系起来,预测团伙间的关系。根据实地数据,我们展示了以印度东北部为基地的恐怖分子如何与在印度中部活动的左翼极端分子建立联系。最后提出了一个基于模糊逻辑的数学模型来理解犯罪程度。
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Modeling brain and behavior of a terrorist through fuzzy logic and ontology
Security agencies across the world are facing major challenge from the terrorism. Challenge lies in establishing inter-gang relationship and intra-gang behaviour. Though security agencies maintain structured and unstructured data, mining the database and doing predictive analysis is still very difficult task. In India various terrorists groups viz Al-Qaida, LeT and other international militant groups carry out various disruptive activities. In 2010, 132 police officers lost their lives in various operations against militants and extremists in India. We have shown how ontology of crime-criminal world can help in establishing intergang relationship. Call records of phones can be analyzed and ontology can link various criminals belonging to various gangs and can predict inter-gang relationship. Based on the field data we have shown how terrorists based in Northeast India have developed links with Left-wing extremists operating in central part of India. At the end we provide a mathematical model based on fuzzy logic to understand extent of criminality.
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