Distributed Blockchain-SDN Secure IoT System Based on ANN to Mitigate DDoS Attacks

Author:

Jmal Rihab12,Ghabri Walid12,Guesmi Ramzi34,Alshammari Badr M.5ORCID,Alshammari Ahmed S.5ORCID,Alsaif Haitham5ORCID

Affiliation:

1. Higher Institute of Computer Science and Multimedia of Sfax (ISIMS), University of Sfax, Sfax 3021, Tunisia

2. SM@RTS Laboratory, Digital Research Center of Sfax (CRNS), Sfax 3021, Tunisia

3. ISLAI Beja, University of Jendouba, Beja 9000, Tunisia

4. Laboratory of Electronics and Information Technology, National Engineering School of Sfax, Sfax University, Sfax 3038, Tunisia

5. Department of Electrical Engineering, College of Engineering, University of Ha’il, Ha’il 81481, Saudi Arabia

Abstract

By bringing smart and advanced solutions, the Internet of Things (IoT) has opened up new dimensions of innovative services and processing power for contemporary living standards. IoT has a wide range of devices and communication entities as a result of the widespread applications of these services, making network management a challenging task. Therefore, it is critical to redesign the IoT network’s management. The inherent programmability and centralized capabilities of software-defined networking (SDN) make network management simpler, enable network abstraction, make network evolution easier, and have the potential to handle the IoT network. However, security issues still present the IoT dilemma. Distributed Denial of Service (DDoS) attacks are among the most significant security threats in IoT systems. This paper studies in-depth DDoS attacks in IoT and in SDN. A review of different detection and mitigation techniques based on SDN, blockchain and machine learning models is conducted. A holistic, secure IoT system is proposed on the basis of SDN with multicontrollers. Blockchain is considered to guarantee security in distributed SDN-IoT networks and ANN to improve the detection and mitigation process.

Funder

Scientific Research Deanship at University of Ha’il - Saudi Arabia

Publisher

MDPI AG

Subject

Fluid Flow and Transfer Processes,Computer Science Applications,Process Chemistry and Technology,General Engineering,Instrumentation,General Materials Science

Cited by 17 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3