Secure Complaint bot using Onion Routing Algorithm Concealing identities to increase effectiveness of complain bot

Abhishek Naik, Apurva Saksena, Kumaresan Mudliar, Ayesha Kazi, Prerna Sukhija, R. Pawar
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引用次数: 6

Abstract

The more traditional approach towards launching a complaint is through written complaints that would be dropped into the complaint boxes available in some sectors, which has a lot of problems associated with it such as loss of complaints, security issues, etc. The proposed model that is structured towards replacement of this approach is an online complaint bot that would accept complaints through the onion routing algorithm. This would indeed secure complainant's identity and the bot would also use NLP to prioritize the complaints based on keywords. It would also direct it towards concerned authorities with a timestamp associated with each complaint and this complaint would have an id being sent back to the complainant for tracking of the issue on an online portal. These traits would in turn result into a system where data flows faster than the traditional approach and effective results a shorter time interval.
利用洋葱路由算法隐藏身份,提高投诉机器人的有效性
更传统的投诉方式是将书面投诉投到某些部门的投诉箱中,这有很多相关的问题,例如投诉丢失、安全问题等。为了取代这种方法,提出的模型是一个在线投诉机器人,它将通过洋葱路由算法接受投诉。这确实可以确保投诉人的身份,并且机器人还将使用NLP根据关键字对投诉进行优先排序。它还将把投诉发送给有关当局,并附带与每个投诉相关的时间戳,该投诉将有一个id发送回投诉人,以便在在线门户网站上跟踪问题。这些特征反过来又会形成一个系统,其中数据流比传统方法更快,有效结果的时间间隔更短。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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