DFMS: Differential flow management scheme for denial of service impact mitigation in 5G communications

• Published in: Journal of King Saud University. Computer and information sciences 2022-09, Vol.34 (8), p.5366-5374
• Main Authors: Sakthibalan, P., Devarajan, K.
• Format: Article
• Language: English
• Subjects: Denial of service; Differential optimization problem; Flooding; Traffic classification
• ISSN: 1319-1578; 2213-1248
• DOI: 10.1016/j.jksuci.2020.12.005

Quality of Service (QoS) in a fifth-generation communication network is leveraged through its interoperable information communication technologies. This interoperability improves the scalable and adaptable level of heterogenous users by maximizing the radio and network resources reliably. Denial of service (DoS) turns out to be a threat in granting communication quality and reliability in service responses due to periodic flooding and invariable traffic flows. This manuscript introduces a differential flow management scheme (DFMS) for the 5G communication network for thwarting the impact of DoS adversaries. This scheme classifies the request/ response flow traffic as continuous and discrete and addresses the discrete flow as a sub-optimal differential problem. In this optimization problem, the goal is to converge the time of adversary detection and to re-formulate resource allocation as a continuous flow based on the remaining flows. The invariable flow is modeled for the persistence time based on service and transmission intervals to retain the user equipment's response rate. The experimental results show the proposed scheme's consistency by achieving less adversary detection time, maximizing the request delivery ratio, and retaining the response rate, respectively.