Towards a Lightweight Detection System for Cyber Security in IoT Environments using Feature Selection
Penulis/Author
Yan Naung Soe (1); Yaokai Feng (2); Prof. Ir. Paulus Insap Santosa, M.Sc., Ph.D., IPU. (3); Dr. Ir. Rudy Hartanto, M.T., IPM. (4); Kouichi Sakurai (5)
Tanggal/Date
2019
Kata Kunci/Keyword
Abstrak/Abstract
Deployment of IoT devices in many situations will make our daily like more comfortable and make more efficient. However, the growing of malware attacks are targeting on IoT devices. Theimplementation oflightweightIDSforIoT environments becomea critically important and challengingtask. To make the system lightweight, a correlation-based feature selectionalgorithm is applied to significantly reducethe number of features. We used J48 and artificial neural network to observethe detection accuracy. The performanceof our system is examined in detailand the experimental result indicates that our system is lightweightand has highdetectionaccuracy.
Rumpun Ilmu
Teknologi Informasi
Bahasa Asli/Original Language
English
Level
Internasional
Status
Dokumen Karya
No
Judul
Tipe Dokumen
Aksi
1
2018-1-0036_2018-1-0036_201902141113.pdf
[PAK] Full Dokumen
2
Towards a Lightweight Detection System for Cyber Attacks in the IoT Environment Using Corresponding Features.pdf
