实时分析电话对话以发现和预防尼日利亚的袭击

Aliyu Dadan Garba, Ridwan Salahudeen, Sandip Rakshit
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引用次数: 0

摘要

尼日利亚是一个拥有广泛族群的国家,人口约为1.95亿。该国一直面临安全挑战,如叛乱、武装盗匪、偷牛、绑架、政治暴徒等,导致生命和财产损失。最常见和最具挑战性的是蔓延到该国许多地区(博尔诺、阿达马瓦、约贝等)的叛乱。对安全部队来说,在叛乱发生之前追踪和/或阻止叛乱是一个相当大的挑战。该提案倾向于通过分析电信网络的电话对话来解决这些挑战,以防止攻击发生。要开发的分析器引擎处理该国最常用的口语(英语、豪萨语、亚鲁巴语和伊博语),并将其传递给推理引擎进行决策。推理引擎将处理的转换限定为威胁或非威胁。如果发现有嫌疑,将通知安全部队进行调查和/或阻止。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Real Time Analysis of Telephone Conversation to Detect and Prevent Attacks in Nigeria
Nigeria is a country with wide spectrum of ethnic groups with a population of about 195 million. The country has been having security challenges such as Insurgency, Arm banditry, Cattle rustling, Kidnapping, Political thugs, among others which leads to loss of lives and properties. The most occurring and challenging is the insurgencies that spread into many parts (Borno, Adamawa, Yobe etc) of the country. It has been a quite challenge to the security forces to track down and/or to prevent any insurgency before it occurs. This proposal tends to address these challenges by analysing the phone conversations through telecommunication networks to prevent the attack before it occurs. The analyser engine is to be developed which processes the most common spoken languages (English, Hausa, Yaruba, and Igbo) in the country and passes it to inference engine for decision making. The inference engine qualifies the processed conversions as either threats or not. If found to be suspected, a notification will be sent to the security forces to investigate and/or prevent.
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