Veri Merkezi Güvenliğinin Sağlanmasında IoT Sensörlerinin Kullanımı Üzerine Bir Uygulama

Year 2021, Issue: 27, 392 - 397, 30.11.2021

Fatih Çağatay Baz , Kadir Uludağ

https://doi.org/10.31590/ejosat.939216

Cited By: 1

Abstract

Gün geçtikçe dijitalleşen yaşamımızda akıllı sistemler artık hayatımızın vazgeçilmez bir parçası haline gelmiştir. Evlerde kullanılmakta olan eşyalar; ulaşım araçları, akıllı sensör ve sistemler ile donatılmaya başlanmıştır. Akıllı sistemler ile yapay zekâ teknolojilerindeki gelişmeler üretim sektöründe de Endüstri 4.0 devrimini gerçekleştirmiştir. Tüm bu gelişmeler Nesnelerin İnterneti yani IoT olarak ifade edilen dijital inovasyonun gerçekleşmesidir. Bu sayede güvenlik senaryoları kendi aralarında iletişim kurabilen cihazlar ile hızlı ve güvenli bir şekilde sağlanmaktadır. Bu çalışmada Nesnelerin İnterneti (Internet of Things-IOT) uygulamaları için geliştirilen Raspberry Pi ve Arduino kartları ile birtakım sensörler kullanarak açık kaynak kodlu veri merkezi izleme uygulaması hayata geçirilmiştir. Çalışmada 64 bit işlemciye sahip Raspberry Pi 3 B+ ve Arduino Nano geliştirme kartlarının yanı sıra, hareket algılama, ısı-nem sensörleri, RC522 RFID modül, kamera, röle, led, buzzer ve I2C LCD ekran kullanılmıştır. Geliştirilen sistemde veri merkezlerinin izlenmesi için gerekli olan temel fonksiyonların başarılı bir şekilde gerçekleştirildiği gözlenmiştir.

Keywords

Veri merkezi güvenliği, Raspberry pi, Arduino, Sensör, Snmp, Cacti

An Application on the Use of IoT Sensors to Ensure Date Center Security

Abstract

Smart systems have become an indispensable part of our lives in our day by day digitalizing life. Items used in homes; transportation vehicles started to be equipped with smart sensors and systems. Developments in smart systems and artificial intelligence technologies have also made the Industry 4.0 revolution in the production sector. All these developments are the realization of digital innovation expressed as the Internet of Things, ie IoT. In this way, security scenarios are provided quickly and securely with devices that can communicate with each other. In this study, an open source data center monitoring application was implemented using some sensors with Raspberry Pi and Arduino boards developed for Internet of Things (IOT) applications. In the study, besides Raspberry Pi 3 B + and Arduino Nano development boards with 64 bit processors, motion detection, temperature-humidity sensors, RC522 RFID module, camera, relay, led, buzzer and I2C LCD screen were used. It has been observed that the basic functions required for monitoring data centers were successfully performed in the developed system.

Keywords

Data center security, Raspberry pi, Arduino, Sensor, Cacti

References

• Baz, F. Ç. (2018). New Trends in E – Learning. Trends in E – Learning (Ed. Mahmut Sinecen). Intechopen: London.
• Carrillo, E., Benitez, V., Mendoza, C., & Pacheco, J. (2015). IoT framework for smart buildings with cloud computing. 2015 IEEE First International Smart Cities Conference (ISC2), Guadalajara, pp. 1-6. doi: 10.1109/ISC2.2015.7366197.
• Dudhe, P. V., Kadam, N. V., Hushangabade, R. M., & Deshmukh, M. S. (2017). Internet of Things (IOT): An overview and its applications. International Conference on Energy, Communication, Data Analytics and Soft Computing (ICECDS), Chennai, pp. 2650-2653, doi: 10.1109/ICECDS.2017.8389935.
• Hammami, A. (2019). Smart Environment Data Monitoring. 2019 International Conference on Computer and Information Sciences (ICCIS), Sakaka, Saudi Arabia, pp. 1-6, doi: 10.1109/ICCISci.2019.8716469.
• https://www.electronicdesign.com/technologies/iot/article/21798493/understanding-the-protocols-behind-the-internet-of-things, 2021.
• https://www.ericsson.com/en/reports-and-papers/white-papers/cellular-networks-for-massive-iot--enabling-low-power-wide-area-applications, 2021.
• https://store.arduino.cc/usa/arduino-nano, 2021.
• https://tr.wikipedia.org/wiki/Nesnelerin_interneti, 2021.
• Kaur, B., Pateriya, P. K., & Rai, M. K. (2018). An Illustration of Making a Home Automation System Using Raspberry Pi and PIR Sensor. International Conference on Intelligent Circuits and Systems (ICICS), Phagwara, pp. 439-444, doi: 10.1109/ICICS.2018.00095.
• Keertikumar M., Shubham M. & Banakar, R. M. (2015). Evolution of IoT in smart vehicles: An overview. 2015 International Conference on Green Computing and Internet of Things (ICGCIoT), Noida, pp. 804-809, doi: 10.1109/ICGCIoT.2015.7380573.
• Li, C. C., Ji, Z. S., Wang, F., Wang, P., Wang, Y., & Zhang, Z. C. (2016). The network monitoring system based on Cacti for EAST. IEEE-NPSS Real Time Conference (RT), Padua, pp. 1-5, doi: 10.1109/RTC.2016.7543086.
• Liu, Q., Ma, Y., Alhussein, M., Zhang, Y., & Peng, L. (2016). Green data center with IoT sensing and cloud-assisted smart temperature control system. Computer Networks 101, pp. 104-112, doi:10.1016/j.comnet.2015.11.024.
• Romkey, J. (2017). Toast of the IoT: The 1990 Interop Internet Toaster. IEEE Consumer Electronics Magazine, 6(1), pp. 116-119, doi: 10.1109/MCE.2016.2614740.
• Saluch, M., Tokarski, D., Grunniewski, T., Chodyka, M., Nitychoruk, J., Wolinski, P., & Adamczewski, G. (2018). Raspberry PI 3B+ microcomputer as a central control unit in intelligent building automation management systems. In MATEC Web of Conferences. 196, p. 04032. EDP Sciences.
• Tan, L., & Wang, N. (2010). Future internet: The Internet of Things. 3rd International Conference on Advanced Computer Theory and Engineering (ICACTE), Chengdu, pp. V5-376-V5-380, doi: 10.1109/ICACTE.2010.5579543.
• Varghese, L., Deepak, G., & Santhanavijayan, A. (2019). An IoT Analytics Approach for Weather Forecasting using Raspberry Pi 3 Model B+, Fifteenth International Conference on Information Processing (ICINPRO), Bengaluru, India, pp. 1-5, doi: 10.1109/ICInPro47689.2019.9092107.
• Zhou, Y., Zhou, Q., Kong, Q., & Cai, W. (2012). Wireless temperature & humidity monitor and control system. 2nd International Conference on Consumer Electronics, Communications and Networks (CECNet), Yichang, pp. 2246-2250, doi: 10.1109/CECNet.2012.6201725.
• Zhou, K., & Yuan, Y. (2020). A Smart Ammunition Library Management System Based on Raspberry Pie. Procedia Computer Science. 166, pp.165-169, doi:10.1016/j.procs.2020.02.041.