Enhancing Smart Home Security Using IoT-Based Intrusion Detection Systems
AUTHOR:ABHISHEK PUROHIT
CO-AUTHOR:VINIT SHARAN(21ECTCS041)
Department of Computer Science &Engineering
Bikaner Technical University, Bikaner
I. Abstract
Smart home automation has been transformed by the use of Internet of Things (IoT) technology, which provides improved security, energy efficiency, and convenience. Advanced security measures are essential to preventing attacks and safeguarding sensitive data as smart homes proliferate. With real-time monitoring, threat identification, and automatic reactions to unwanted access attempts, Internet of Things (IoT)-based intrusion detection systems (IDS) provide a potential way to allay these worries. Through an analysis of their functionality, design, and intrusion detection efficacy, this study investigates the potential of IoT-based IDS in augmenting smart home security. Continuous home environment monitoring is made possible by the use of linked sensors, cameras, and smart devices, which also instantly notify authorities and homeowners of any suspicious activity. By applying machine learning algorithms and analyzing data from several devices, the system may discover patterns of typical activity and spot abnormalities that can point to a security breach. In order to provide a thorough, automatic reaction to any threats, IoT-based IDS may also be coupled with other smart home systems like alarms, locks, and lights. But the extensive use of IoT-based IDS also brings up issues with data security, privacy, and system vulnerabilities. The potential and difficulties of integrating these technologies in smart homes are examined extensively in this article. It highlights the significance of strong encryption, secure communication protocols, and frequent system upgrades while talking about the possible dangers of cyberattacks, data breaches, and privacy invasions. The study examines how current developments in edge computing, cloud-based solutions, and intrusion detection algorithms improve the scalability and effectiveness of IoT-based IDS in smart home settings. In the end, this study emphasizes how important IoT-based IDS may be for enhancing smart home security while simultaneously addressing the urgent need for safe, privacy-aware implementation techniques.
Keywords: IoT-based Intrusion Detection, Smart Home Security, Real-time Monitoring, Machine Learning Algorithms, Privacy and Data Security, Automated Threat Response
