A Systematic Analysis on Chatbot Information Security

Abstract

In recent years, chatbots have grown in popularity, but they also pose security threats and weaknesses that require attention. This systematic literature analysis reviews the prior work on information security in chatbots, highlighting potential vulnerabilities, suggested countermeasures, and prospective future research approaches. According to the analysis, there are a number of security risks that chatbots must guard against, including malicious input, user profiling, contextual attacks, and data breaches. However, these problems may be addressed with the help of organizational controls, end-to-end encryption, and blockchain technology. The evaluation also emphasizes how crucial it is to uphold user confidence and allay privacy worries in order for chatbots to be adopted and used successfully in the future. This review's taxonomy offers a helpful framework for classifying the papers and their findings.