A smart city cyber security platform for narrowband networks

Asmaa Elsaeidy, Ibrahim Elgendi, Kumudu S. Munasinghe, Dharmendra Sharma, Abbas Jamalipour

Research output: A Conference proceeding or a Chapter in BookConference contributionpeer-review

21 Citations (Scopus)

Abstract

Smart city is gaining a significant attention all around the world. Narrowband technologies would have strong impact on achieving the smart city promises to its citizens with its powerful and efficient spectrum. The expected diversity of applications, different data structures and high volume of connecting devices for smart cities increase the persistent need to apply narrowband technologies. However, narrowband technologies have recognized limitations regarding security which make them an attractive target to cyber-attacks. In this paper, a novel platform architecture to secure smart city against cyber attackers is presented. The framework is providing a threat deep learning-based model to detect attackers based on users data behavior. The proposed architecture could be considered as an attempt toward developing a universal model to identify and block Denial of Service (DoS) attackers in a real time for smart city applications.

Original languageEnglish
Title of host publication2017 27th International Telecommunication Networks and Applications Conference, ITNAC 2017
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages1-6
Number of pages6
ISBN (Electronic)9781509067961
ISBN (Print)9781509067978
DOIs
Publication statusPublished - 22 Nov 2017
Event27th International Telecommunication Networks and Applications Conference - Melbourne, Australia
Duration: 22 Nov 201724 Nov 2017

Publication series

Name2017 27th International Telecommunication Networks and Applications Conference, ITNAC 2017
Volume2017-January

Conference

Conference27th International Telecommunication Networks and Applications Conference
Abbreviated titleITNAC 2017
Country/TerritoryAustralia
CityMelbourne
Period22/11/1724/11/17

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