Network Intrusion Detection for IoT Security Based on Learning Techniques

Chaabouni, Nadia; Mosbah, Mohamed; Zemmari, Akka; Sauvignac, Cyrille; Faruki, Parvez

doi:10.1109/comst.2019.2896380

Public

Network Intrusion Detection for IoT Security Based on Learning Techniques

Published in IEEE Communications Surveys & Tutorials • Jan 1, 2019

Authors:

Nadia Chaabouni

Mohamed Mosbah

Akka Zemmari

Abstract

Pervasive growth of Internet of Things (IoT) is visible across the globe. The 2016 Dyn cyberattack exposed the critical fault-lines among smart networks. Security of IoT has become a critical concern. The danger exposed by infested Internet-connected Things not only affects the security of IoT but a...

Subject

Computer science

Botnet

Computer security

Finding related papers...

Discussions

(0)

No comments yet

Be the first to share your thoughts!