| Title | Internet of Things (IoT) Based Door Lock Security System |
| Publication Type | Conference Paper |
| Year of Publication | 2021 |
| Authors | Rhunn, Tommy Cha Hweay, Raffei, Anis Farihan Mat, Rahman, Nur Shamsiah Abdul |
| Conference Name | 2021 International Conference on Software Engineering Computer Systems and 4th International Conference on Computational Science and Information Management (ICSECS-ICOCSIM) |
| Keywords | android, Arduino, compositionality, Information management, Internet of Things (IoT), mobile, mobile applications, Pins, Predictive Metrics, privacy, Prototypes, pubcrawl, Resiliency, Scientific computing, Scientific Computing Security, security system, wireless networks |
| Abstract | A door enables you to enter a room without breaking through a wall. Also, a door enables you for privacy, environmental or security reasons. The problem statement which is the biometric system sometimes is sensitive and will not be able to sense the biological pattern of the employer's fingerprint due to sweat and other factors. Next, people tend to misplace their key or RFID card. Apart from that, people tend to forget their pin number for a door lock. The objective of this paper is to present a secret knock intensity for door lock security system using Arduino and mobile. This project works by using a knock intensity and send the information to mobile application via wireless network to unlock or lock the door. |
| DOI | 10.1109/ICSECS52883.2021.00008 |
| Citation Key | rhunn_internet_2021 |
Internet of Things (IoT) Based Door Lock Security System