Abstract
With the tremendous growth in the Embedded Linux Applications in the profuse sectors, the integration of Internet of Things with the Embedded Linux would be very fruitful. The utmost reason for the use of Embedded Linux are open source, platform independent as it can be used on any platforms like Advanced RISC Machine (ARM), x86, PowerPC, Microprocessor without Interlocked Pipeline Stages (MIPS). The integration of IoT, Embedded Linux and Amazon Web Services (AWS) required secure isolated environment for better work. The ubiquitous way to validate the system probity and authorization is to authenticate the OS during the boot process. The use of AWS Cloud Technologies would be very efficacious for the applications for real time monitoring of the system. The proposed paper relates to the implementation of Smart Secure Intruder System using PIR motion sensor integrating with AWS Cloud Technology with Android App Monitoring using device driver statically loaded onto the BeagleBone Black (ARM Platform) for this IoT application along with the use of Trusted Platform Model (TPM) Security for OS level entry security in the BeagleBone Black Booting Process. The Linux OS is running on the BeagleBone Black Platform. The device driver is the piece of software whose aim is to control and manage the particular hardware device and part of the kernel for efficient applications.
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References
Ansari, B., Kaur, M.: Design and implementation of character device driver for customized kernel of ARM based platform. In: International Conference on Current Trends in Computer, Electrical, Electronics and Communication (ICCTCEEC) (2017)
Nayyar, A., Puri, V.: A comprehensive review of BeagleBone technology: smart board powered by ARM. Int. J. Smart Home 10(4), 95–108 (2016)
Dinakar, R., Singh, D., Abbas, M., Alex, M., Yadav, A.: IoT based home security system using Raspberry Pi. Int. J. Innov. Res. Comput. Commun. Eng. 6(4), 3835–3842 (2018)
Osmin, S.: Smart intrusion alert system using Raspberry Pi and PIR sensor. Spec. Issue J. Kejuruteraan 1(1) (2017)
Nadaf, R., Hatture, S., Bonal, V., Naik, S.: Home security against human intrusion using Raspberry Pi. In: International Conference on Computational Intelligence and Data Science (ICCIDS) (2019)
Surantha, N., Wicaksono, W.: Design of smart home security system using object recognition and PIR sensor. In: 3rd International Conference on Computer Science and Computational Intelligence (2018)
Profentzas, C., Gunes, M., Nikolakopoulos, Y., Landsiedel, O., Almgren, M.: Performance of secure boot in embedded systems. In: IEEE Conference (2018)
Tanwar, S., Patel, P., Patel, K., Tyagi, S., Kumar, N., Obadiat, M.: An advanced internet of thing based security alert system for smart home. IEEE J. (2017)
Agarwal, N., Paul, S., Gujar, P., Gite, V.: Internet of Things (IoT) based switchox using MQTT protocol. Int. J. Res. Eng. Technol. (IJRET) 5(4) (2016)
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Patoliya, J.J., Patel, S.B., Desai, M.M., Patel, K.K. (2021). Embedded Linux Based Smart Secure IoT Intruder Alarm System Implemented on BeagleBone Black. In: Patel, K.K., Garg, D., Patel, A., Lingras, P. (eds) Soft Computing and its Engineering Applications. icSoftComp 2020. Communications in Computer and Information Science, vol 1374. Springer, Singapore. https://doi.org/10.1007/978-981-16-0708-0_28
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DOI: https://doi.org/10.1007/978-981-16-0708-0_28
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