基于聊天机器人服务的综合信使杀毒系统设计

Shinho Lee, Jungwoon Lee, Wonrak Lee, Seohyun Lee, Suyoung Kim, Eui Tak Kim
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引用次数: 3

摘要

如今,无论是PC还是手机,人们都在使用各种各样的、各具功能的信使,信使用户的数量也越来越多。就像这样,随着messenger用户数量的增加,针对messenger的恶意软件攻击也在不断增加。在本文中,我们提出了一种集成的信使反病毒系统(IMAS),该系统利用聊天机器人服务来预测针对信使的恶意软件攻击。IMAS将各种信使聊天机器人集成到一个单一形式的适配器中,因此它可以支持任何信使,并包含负责检测恶意软件的多个反病毒扫描程序,因此用户可以实时查看检测结果。在此基础上,我们实现了一个真实的环境,并给出了使用各种聊天机器人检测可疑恶意软件的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design of Integrated Messenger Anti-virus System using Chatbot Service
Today, people use various types of messengers having each own function regardless of PC or Mobile, and the number of messenger users is more and more increasing. Like this, as the number of messenger users increased, malware attacks targeting messenger has been increasing. In this paper, we propose the Integrated Messenger Anti-virus System (IMAS) that utilizes chatbot service to predictively detect malware attacks targeting at a messenger. The IMAS integrates various messenger’s chatbot into a single form of Adapter so that it can support any messengers and contains multi anti-virus scanner in charge of detection of malware, so users can check detection results in real-time. Also, we implement a real environment based on the proposed design and present the result of detecting suspected malware by using various messenger chatbots.
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