@inbook{a06b12b1953b4383b46c1a045ad942e8,
title = "IoT-Based Home Intrusion Detection System for Enhanced Smart Environment",
abstract = "An interconnected collection of smart devices which is expanding at a very rapid pace as many devices and sensors are being added to the inter or getting connected to it is referred to as Internet of Things or IoT for short. One of the most widely used part of IoT is integrating it in home security. The IoT increases the ability to control and monitor all the operations occur at home. This work aims at using the IoT features in creating an inexpensive home security system which tracks the digital footprint of all the visitors. Home security is an essential part of today{\textquoteright}s world, especially with all the technological advancements. Traditional systems detect the intrusion but not the intruder. The systems can be easily fooled by using physical props. Objective of this work is to enhance the current security system to detect the identity of the intruders digitally which can later be used by authorities to trace them easily.",
keywords = "Intrusion detection, IoT, Security, Smart environment",
author = "Aman Shah and Rukmani Panjanathan and Graceline Jasmine and C. Rajathi and Modigari Narendra and Raj, \{Benson Edwin\}",
note = "Publisher Copyright: {\textcopyright} 2022, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.",
year = "2022",
doi = "10.1007/978-981-19-2350-0\_78",
language = "English",
series = "Cognitive Science and Technology",
publisher = "Springer",
pages = "827--833",
booktitle = "Cognitive Science and Technology",
address = "Germany",
}