Implementasi Algoritma Advanced Encryption Standard(AES) Pada Jaringan Internet Of Things(IoT) Untuk Mendukung Smart Healthcare

Rachmayanti, Alifina (2022) Implementasi Algoritma Advanced Encryption Standard(AES) Pada Jaringan Internet Of Things(IoT) Untuk Mendukung Smart Healthcare. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Internet of Thingsmerupakan suatu deskripsi dari jaringan fisik atau ”things” yang dipasang menggunakan sensor, softwaredan teknologi lain dengan tujuan menghubungkan dan menukarkan data antar divisi dan sistem lain menggunakan internet. Internet of Things(IoT) memiliki beragamaplikasi yang dapat digunakan untuk kebutuhan manusia yang lebih cerdas, salah satunya adalahSmart Healthcare,dimanaIoTakan membantu pasien/pengguna untuk memperhatikan kesehatannya. Seiring berkembangnya perangkat, IoTmengakibatkan beberapa tantangan yang harus dihadapi seperti masalah keamanan dan sumberdaya.Serangan yang umum terjadi pada suatu sistem IoT adalah sniffing.Salah satu cara mengatasi sniffing adalah enkripsi. Akan tetapi penerapan program enkripsi dapat menimbulkan permasalahan lain terutama pada perangkatIoT berbasis embedded system. Sehingga, dibutuhkan metode keamanan dengan konsumsi daya rendah yang sesuai untuk perangkat IoTyaituAlgoritma Advanced Encryption Standard(AES).Setelah seluruh bagian diintegrasikan ke dalam sistem,selanjutnya dilakukan tahap pengujian. Hasil pengujianmenunjukkan AES-128 yang diterapkan dapat berjalan baik dengan hasil waktu proses yang lebih lama dibandingkan sistem tanpa menggunakan algoritma AES 128 bit sebesar 0,560 detik untuk enkripsi dan 0,018 detik untuk dekripsi. Proses enkripsi dilakukan pada Raspberry Pimenggunakan bahasa PHP sedangkan proses dekripsi dilakukan pada web menggunakan bahasa PHP.Hasil pengujian konektivitas jaringan wifi menunjukkan jarak maksimum sebesar 54 meteragar dapat terhubung. Pengujian keamanan dengan penetration testingmenunjukkan bahwa database pada sistem ini aman darihackerdan memenuhi unsur confidentialityatau kerahasiaan data.
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Internet of Things is a description of a physical network or "things" installed using sensors, software,and other technologies with the aim of connecting and exchanging data between divisions and other systems using the internet. The Internet of Things (IoT) has a variety of applications that can be used for smarter human needs, one of which is Smart Healthcare, where IoT will help patients/users to pay attention to their health. As devices evolve, IoT results in several challenges that must be faced such as security and resource issues. A common attack on an IoT system is sniffing. One way to overcome sniffing is encryption. However, the implementation of encryption programs can cause other problems, especially in Embedded System-based IoT devices. Thus, a security method with low power consumption is needed that is suitable for IoT devices, namely the Advanced Encryption Standard (AES) Algorithm.After the entire part is integrated into the system, the next stage of testing is carried out. The test results show that the applied AES-128 can run well with the result of a longer processing time than the system without using a 128 bit AES algorithm of 0.560 seconds for encryption and 0.018 seconds for decryption. The encryption process is carried out on the Raspberry Pi using php language while the decryption process is done on the web using PHP language. The results of the wifi network connectivity test show a maximum distance of 54 meters in order to connect. Security testing with penetration testing shows that the database in this system is safe from hackers and meets the elements of confidentiality or data confidentiality.

Item Type:	Thesis (Other)
Additional Information:	RSE 004.678 Rac i-1 2022
Uncontrolled Keywords:	Advanced Encryption Standard(AES), Internet of Things(IoT), keamanan data, Raspberry Pi, Smart Healthcare, data security
Subjects:	Q Science > QA Mathematics > QA76.625 Internet programming. T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK5105.546 Computer algorithms
Divisions:	Faculty of Intelligent Electrical and Informatics Technology (ELECTICS) > Electrical Engineering > 20201-(S1) Undergraduate Thesis
Depositing User:	Anis Wulandari
Date Deposited:	02 Nov 2022 07:24
Last Modified:	02 Nov 2022 07:24
URI:	http://repository.its.ac.id/id/eprint/95046

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