Inproceedings
Book title :
International Symposium on Networks, Computers and Communications (ISNCC'20)
Address :
Montreal, Canada
ISBN : 978-1-7281-5629-3
Publisher :
Information
Period : October 2020
Pages : 1-6
Details
A Pragmatic Cybersecurity Strategies for Combating IoT-Cyberattacks
Amir Djenna Djamel Eddine Saidouni Wafia Abada
Massive Cyberattacks, especially Distributed Denial of Service (DDoS), remain an overwhelming threat to new emerging computer paradigms such as Cloud Computing and Internet of Things, deployed within critical infrastructures (healthcare, aviation, energy, industrial control and military). Furthermore, conventional security approaches and strategies are no longer appropriate to deal with this kind of cyberattacks, for the reason that they have major limitations. Consequently, identification and efficient detection of anomalies in this context requires not only suitable mechanisms integrating correct detection, but also early detection with an autonomous operating mode. This paper focuses on DDoS cyberattack detection and mitigation method based on artificial intelligence model affecting IoT network infrastructure.
Key words :
Cybersecurity DDoS Cyberattacks IoT
Ref. laboratory citation :
misc-lab-360
DOI :
10.1109/ISNCC49221.2020.9297251
Link :
Texte intégral
ACM :
A. Djenna, D. E. Saidouni and W. Abada. 2020. A Pragmatic Cybersecurity Strategies for Combating IoT-Cyberattacks. In Proceedings of the International Symposium on Networks, Computers and Communications (ISNCC'20), Montreal, Canada (October 2020), IEEE, 1-6. DOI: https://doi.org/10.1109/ISNCC49221.2020.9297251.
APA :
Djenna, A., Saidouni, D. E. & Abada, W. (2020, October). A Pragmatic Cybersecurity Strategies for Combating IoT-Cyberattacks. In Proceedings of the International Symposium on Networks, Computers and Communications (ISNCC'20), Montreal, Canada, IEEE, 1-6. DOI: https://doi.org/10.1109/ISNCC49221.2020.9297251
IEEE :
A. Djenna, D. E. Saidouni and W. Abada, "A Pragmatic Cybersecurity Strategies for Combating IoT-Cyberattacks". In Proceedings of the International Symposium on Networks, Computers and Communications (ISNCC'20), Montreal, Canada, IEEE, pp. 1-6, October, 2020. DOI: https://doi.org/10.1109/ISNCC49221.2020.9297251.
BibTeX :
@inproceedings{misc-lab-360,
author = {Djenna, Amir and Saidouni, Djamel Eddine and Abada, Wafia},
title = {A Pragmatic Cybersecurity Strategies for Combating IoT-Cyberattacks},
booktitle = {International Symposium on Networks, Computers and Communications (ISNCC'20)},
location = {Montreal, Canada},
isbn = {978-1-7281-5629-3},
pages = {1--6},
publisher = {IEEE},
organization = {IEEE},
year = {2020},
month = {October},
doi = {10.1109/ISNCC49221.2020.9297251},
url = {https://ieeexplore.ieee.org/abstract/document/9297251},
keywords = {Cybersecurity, DDoS Cyberattacks, IoT}
}
RIS :
TY  - CONF
TI - A Pragmatic Cybersecurity Strategies for Combating IoT-Cyberattacks
AU - A. Djenna
AU - D. E. Saidouni
AU - W. Abada
PY - 2020
BT - International Symposium on Networks, Computers and Communications (ISNCC'20), Montreal, Canada
SN - 978-1-7281-5629-3
SP - 1
EP - 6
PB - IEEE
AB - Massive Cyberattacks, especially Distributed Denial of Service (DDoS), remain an overwhelming threat to new emerging computer paradigms such as Cloud Computing and Internet of Things, deployed within critical infrastructures (healthcare, aviation, energy, industrial control and military). Furthermore, conventional security approaches and strategies are no longer appropriate to deal with this kind of cyberattacks, for the reason that they have major limitations. Consequently, identification and efficient detection of anomalies in this context requires not only suitable mechanisms integrating correct detection, but also early detection with an autonomous operating mode. This paper focuses on DDoS cyberattack detection and mitigation method based on artificial intelligence model affecting IoT network infrastructure.
KW - Cybersecurity
KW - DDoS Cyberattacks
KW - IoT
DO - 10.1109/ISNCC49221.2020.9297251
UR - https://ieeexplore.ieee.org/abstract/document/9297251
ID - misc-lab-360
ER -