Intelligent Botnet Detection Approach in Modern Applications

Intelligent Botnet Detection Approach in Modern Applications

IDS

IoT

deep neural networks

DDoS

Bot-IoT.

Innovative applications are employed to enhance human-style life. The Internet of Things (IoT) is recently utilized in designing these environments. Therefore, security and privacy are considered essential parts to deploy and successful intelligent environments. In addition, most of the protection systems of IoT are vulnerable to various types of attacks. Hence, intrusion detection systems (IDS) have become crucial requirements for any modern design. In this paper, a new detection system is proposed to secure sensitive information of IoT devices. However, it is heavily based on deep learning networks. The protection system can provide a secure environment for IoT. To prove the efficiency of the proposed approach, the system was tested by using two datasets; normal and fuzzification datasets. The accuracy rate in the case of the normal testing dataset was 99.30%, while was 99.42% for the fuzzification testing dataset. The experimental results of the proposed system reflect its robustness, reliability, and efficiency.

M. Ali Alheeti, Khattab

Alsukayti, Ibrahim

Alreshoodi, Mohammed

International Journal of Interactive Mobile Technologies (iJIM); Vol. 15 No. 16 (2021); pp. 113-126

1865-7923

International Association of Online Engineering (IAOE), Vienna, Austria

2021-08-23

Copyright (c) 2021 Khattab M. Ali Alheeti, Ibrahim Alsukayti, Mohammed Alreshoodi

application/pdf

eng

info:eu-repo/semantics/article

info:eu-repo/semantics/publishedVersion

Peer-reviewed Article