ISSN: 2182-2069 (printed) / ISSN: 2182-2077 (online)
Security in Domotics under Chabot control using Natural Language Processing (NLP): ongoing challenges and research opportunities
Home automation (Domotics) has entered a new era of ease and control thanks to the quick adoption of Natural Language Processing (NLP) and Chabot technology. This study focuses on the difficulties and research opportunities given by the use of Chabot-controlled NLP systems. This work explores the essential junction of security and Domotics. Concerns about data privacy, authentication, authorization, and vulnerability to malicious attacks have become more prominent as these technologies are used by more and more modern families. This paper delves into the intricate challenge of enhancing security within the domain of home automation by employing Chatbots as a facilitative medium. Central to this endeavor is the evaluation of security concerns through the lens of the Availability, Integrity, and Confidentiality (AIC) triad. The study examines current home automation systems, examining how closely they correspond with the AIC triangle and looking for potential weaknesses. The purpose of this thorough examination is to identify systems' hidden flaws and shed light on potential solutions. This paper sets out on an implementation journey along with the investigation phase. We propose an inventive method to address the issues mentioned before while maintaining the critical functionality of chat applications in the Internet of Things (IoT) environment. This two-pronged strategy aims to maintain the smooth interaction that consumers anticipate in the IoT ecosystem while strengthening the security underpinnings of Domotics. This study bridges the research and implementation sectors to provide a practical approach that integrates security requirements with user-centered design concepts, adding to the conversation on protecting smart homes.