Article
Journal/Revue :
Journal of Ambient Intelligence and Humanized Computing
ISSN : 1868-5145
Publisher :
Informations
Période : October 2020
Pages : 1-30
Détails
CIoTAS protocol: CloudIoT available services protocol through autonomic computing against distributed denial of services attacks
In the reliability and security challenges for the Internet of Things (IoT) systems, managing unpredictable events and controlling the abnormal situation automatically are provisioned by the integration of self-healing properties. Despite this, in our knowledge, this integration is not used to repair from malicious behaviors and potential distributed denial of service (DDoS) device attacks, especially in a collaborative way to maximize the quality of service parameters (availability). For that, we propose a diagnosable distributed protocol, in a hybrid-IoT system designed based on Service-Oriented Architecture (SOA) for IoT middleware in the things-oriented vision. The proposed protocol identifies and re-locates the denied service using the contextual recovery or the Sensing as a Service model (S2aaS) in the Cloud-IoT platform, as a backup to ensure the service availability. On the basis of this idea, this paper defines the system states under self-healing (in collaboration state) and self-protection autonomic-control loops. Besides, the closure (safety) and the convergence (liveness) properties will be defined and proved satisfied by the proposed protocol. Furthermore, to highlight the interest of the protocol, we present an application in the context of the smart-building (Lab) as an IoT solution.
Mots clés :
CloudIoT paradigm S2aaS model Autonomic computing Diagnosable Self-healing DDoS attacks
Réf. de citation :
misc-lab-346
DOI :
10.1007/s12652-020-02556-0
Lien :
Texte intégral
ACM :
B. Maati and D. E. Saidouni. 2020. CIoTAS protocol: CloudIoT available services protocol through autonomic computing against distributed denial of services attacks. Journal of Ambient Intelligence and Humanized Computing (October 2020), Springer, 1-30. DOI: https://doi.org/10.1007/s12652-020-02556-0.
APA :
Maati, B. & Saidouni, D. E. (2020, October). CIoTAS protocol: CloudIoT available services protocol through autonomic computing against distributed denial of services attacks. Journal of Ambient Intelligence and Humanized Computing, Springer, 1-30. DOI: https://doi.org/10.1007/s12652-020-02556-0
IEEE :
B. Maati and D. E. Saidouni, "CIoTAS protocol: CloudIoT available services protocol through autonomic computing against distributed denial of services attacks". Journal of Ambient Intelligence and Humanized Computing, Springer, pp. 1-30, October, 2020. DOI: https://doi.org/10.1007/s12652-020-02556-0.
BibTeX :
@article{misc-lab-346,
author = {Maati, Bouchera and Saidouni, Djamel Eddine},
title = {CIoTAS protocol: CloudIoT available services protocol through autonomic computing against distributed denial of services attacks},
journal = {Journal of Ambient Intelligence and Humanized Computing},
issn = {1868-5145},
pages = {1--30},
publisher = {Springer},
year = {2020},
month = {October},
doi = {10.1007/s12652-020-02556-0},
url = {https://doi.org/10.1007/s12652-020-02556-0},
keywords = {CloudIoT paradigm, S2aaS model, Autonomic computing, Diagnosable, Self-healing, DDoS attacks}
}
RIS :
TI  - CIoTAS protocol: CloudIoT available services protocol through autonomic computing against distributed denial of services attacks
AU - B. Maati
AU - D. E. Saidouni
PY - 2020
SN - 1868-5145
JO - Journal of Ambient Intelligence and Humanized Computing
SP - 1
EP - 30
PB - Springer
AB - In the reliability and security challenges for the Internet of Things (IoT) systems, managing unpredictable events and controlling the abnormal situation automatically are provisioned by the integration of self-healing properties. Despite this, in our knowledge, this integration is not used to repair from malicious behaviors and potential distributed denial of service (DDoS) device attacks, especially in a collaborative way to maximize the quality of service parameters (availability). For that, we propose a diagnosable distributed protocol, in a hybrid-IoT system designed based on Service-Oriented Architecture (SOA) for IoT middleware in the things-oriented vision. The proposed protocol identifies and re-locates the denied service using the contextual recovery or the Sensing as a Service model (S2aaS) in the Cloud-IoT platform, as a backup to ensure the service availability. On the basis of this idea, this paper defines the system states under self-healing (in collaboration state) and self-protection autonomic-control loops. Besides, the closure (safety) and the convergence (liveness) properties will be defined and proved satisfied by the proposed protocol. Furthermore, to highlight the interest of the protocol, we present an application in the context of the smart-building (Lab) as an IoT solution.
KW - CloudIoT paradigm
KW - S2aaS model
KW - Autonomic computing
KW - Diagnosable
KW - Self-healing
KW - DDoS attacks
DO - 10.1007/s12652-020-02556-0
UR - https://doi.org/10.1007/s12652-020-02556-0
ID - misc-lab-346
ER -