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 contribution

2 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, ITNAC 2017 - Melbourne, Australia
Duration: 22 Nov 201724 Nov 2017

Publication series

NameITNAC
PublisherIEEE
ISSN (Electronic)2474-154X

Conference

Conference27th International Telecommunication Networks and Applications Conference, ITNAC 2017
CountryAustralia
CityMelbourne
Period22/11/1724/11/17

Fingerprint

Data structures
Smart city
Deep learning

Cite this

Elsaeidy, A., Elgendi, I., Munasinghe, K. S., Sharma, D., & Jamalipour, A. (2017). A smart city cyber security platform for narrowband networks. In 2017 27th International Telecommunication Networks and Applications Conference, ITNAC 2017 (pp. 1-6). (ITNAC). IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/ATNAC.2017.8215388
Elsaeidy, Asmaa ; Elgendi, Ibrahim ; Munasinghe, Kumudu S. ; Sharma, Dharmendra ; Jamalipour, Abbas. / A smart city cyber security platform for narrowband networks. 2017 27th International Telecommunication Networks and Applications Conference, ITNAC 2017. IEEE, Institute of Electrical and Electronics Engineers, 2017. pp. 1-6 (ITNAC).
@inproceedings{0b014ed5e56d44b688864b42be7098bd,
title = "A smart city cyber security platform for narrowband networks",
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.",
keywords = "deep learning, DoS, IDS, intrusion detection, LoRaWAN, NB-IoT, Sigfox, Smart city",
author = "Asmaa Elsaeidy and Ibrahim Elgendi and Munasinghe, {Kumudu S.} and Dharmendra Sharma and Abbas Jamalipour",
year = "2017",
month = "11",
day = "22",
doi = "10.1109/ATNAC.2017.8215388",
language = "English",
isbn = "9781509067978",
series = "ITNAC",
publisher = "IEEE, Institute of Electrical and Electronics Engineers",
pages = "1--6",
booktitle = "2017 27th International Telecommunication Networks and Applications Conference, ITNAC 2017",
address = "United States",

}

Elsaeidy, A, Elgendi, I, Munasinghe, KS, Sharma, D & Jamalipour, A 2017, A smart city cyber security platform for narrowband networks. in 2017 27th International Telecommunication Networks and Applications Conference, ITNAC 2017. ITNAC, IEEE, Institute of Electrical and Electronics Engineers, pp. 1-6, 27th International Telecommunication Networks and Applications Conference, ITNAC 2017, Melbourne, Australia, 22/11/17. https://doi.org/10.1109/ATNAC.2017.8215388

A smart city cyber security platform for narrowband networks. / Elsaeidy, Asmaa; Elgendi, Ibrahim; Munasinghe, Kumudu S.; Sharma, Dharmendra; Jamalipour, Abbas.

2017 27th International Telecommunication Networks and Applications Conference, ITNAC 2017. IEEE, Institute of Electrical and Electronics Engineers, 2017. p. 1-6 (ITNAC).

Research output: A Conference proceeding or a Chapter in BookConference contribution

TY - GEN

T1 - A smart city cyber security platform for narrowband networks

AU - Elsaeidy, Asmaa

AU - Elgendi, Ibrahim

AU - Munasinghe, Kumudu S.

AU - Sharma, Dharmendra

AU - Jamalipour, Abbas

PY - 2017/11/22

Y1 - 2017/11/22

N2 - 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.

AB - 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.

KW - deep learning

KW - DoS

KW - IDS

KW - intrusion detection

KW - LoRaWAN

KW - NB-IoT

KW - Sigfox

KW - Smart city

UR - http://www.scopus.com/inward/record.url?scp=85046684375&partnerID=8YFLogxK

UR - https://ieeexplore.ieee.org/document/8215388/

U2 - 10.1109/ATNAC.2017.8215388

DO - 10.1109/ATNAC.2017.8215388

M3 - Conference contribution

SN - 9781509067978

T3 - ITNAC

SP - 1

EP - 6

BT - 2017 27th International Telecommunication Networks and Applications Conference, ITNAC 2017

PB - IEEE, Institute of Electrical and Electronics Engineers

ER -

Elsaeidy A, Elgendi I, Munasinghe KS, Sharma D, Jamalipour A. A smart city cyber security platform for narrowband networks. In 2017 27th International Telecommunication Networks and Applications Conference, ITNAC 2017. IEEE, Institute of Electrical and Electronics Engineers. 2017. p. 1-6. (ITNAC). https://doi.org/10.1109/ATNAC.2017.8215388