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.
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 -