Open Access

ARTICLE

A Cloud-Based Secure Emergency Message Dissemination Scheme in Vehicular Adhoc Networks

by R. Rajasekar^1,*, P. Sivakumar²

1 Department of Information and Communication Engineering, Anna University, Chennai, India
2 Department of Electronics and Communication Engineering, Dr. N.G.P. Institute of Technology, Coimbatore, India

* Corresponding Author: R. Rajasekar. Email:

Intelligent Automation & Soft Computing 2022, 33(1), 117-131. https://doi.org/10.32604/iasc.2022.023372

Received 06 September 2021; Accepted 29 October 2021; Issue published 05 January 2022

Abstract

The Internet of vehicles and vehicular ad-hoc networks (VANET) offers numerous opportunities for managing the transportation problems effectively. The high mobility and wireless communication in VANET lead to adequate network topology modifications, resulting in network instability and insecure data communication. With an unsteady flow of traffic, vehicles are unevenly distributed in the geographical areas in practice. A new type 2 fuzzy logic-based secure clustering (T2FLSC) with cloud-based data dissemination scheme called the T2FLSC-CDD model for the VANET has been introduced for resolving this issue. The vehicles are dynamically clustered by the use of the T2FLSC technique, which elects the CHs (Cluster Head) by the use of different parameters, namely, travelling speed (TS), link quality (LQ), trust factor (TF), inter-vehicle distance (IVD) and neighboring node count (NCC). The inclusion of the trust factor helps to select the proper CHs for the secure data dissemination process. Once the CHs are selected, a cloud connection can broadcast the Emergency messages to every vehicle. To save the location details of the vehicles in the cloud securely, the Blowfish technique has also been implemented in this work. For validating the effectiveness of the T2FLSC-CDD model, an extensive results analysis has been performed with respect to various measures. The attained simulation outcomes have pointed out that the proposed model has achieved maximum packet delivery ratio (PDR) and throughput with minimum key computation time (KCT), routing control overhead (RCO), time delay (TD), and key recovery time (KRT).

---

Keywords

---