Towards the Design of Efficient and Secure Architecture for Software-Defined Vehicular Networks

Abstract

Recently, by the rapid development of Vehicular Ad Hoc Networks (VANETs) and the advancement of Software Defined Networking (SDN) as an emerging technology, the Software-Defined Vehicular Network (SDVN) has a tremendous attraction in the academia and research community. SDN’s unique properties and features, such as its flexibility, programmability, and centralized control, make the network scalable and straightforward. In VANETs, traffic management and secure communication of vehicle information using the public network are the main research dimensions in the current era for the researchers to be considered while designing an efficient and secure VANETs architecture. This paper highlights the possible identified threat vectors and efficiently resolves the network vulnerabilities to design a novel and secure hierarchic architecture for SDVN. To solve the above problem, we proposed a Public Key Infrastructure-based digital signature model for efficient and secure communication from Vehicle to Vehicle. We also used the public key authority infrastructure for Vehicle to Infrastructure and the three-way handshake method for secure session creation and secure data communication in the SDN controller. The proposed security is validated through the well-known simulation tool AVISPA. Additionally, a formal security model is applied to validate the design hierarchic architecture’s fundamental security properties for SDVN in an efficient and desirable way. In a comparative analysis, we prove that our proposed scheme fulfills all the essential security properties compared to other states of the art schemes.

QoS Aware and Fault Tolerance Based Software-Defined Vehicular Networks Using Cloud-Fog Computing

“…In this scenario, fifteen vehicles were created, one cloud datacenter, three fog nodes placed with SDN nodes. Different messages are created and sent to fog nodes and then to the cloud, and their execution time is analyzed and compared with work already done in [ 27 , 28 ]. Figure 6 x-axis shows no messages from vehicles while the y-axis shows execution time taken by the messages.…”

“…Another scheduling algorithm is provided in which the authors proposed a scheduling model and gave high priority to the packets whose deadline is near to expire. In [ 27 , 28 ], the authors recently proposed efficient architecture for SDVN by using a priority basis scheduling algorithm for time-critical and non-critical messages. Its main limitation is that they did not use fog instead of cloud to decrease response time, and they also did not use a fault tolerance mechanism to make the overall process of SDVN communication efficient.…”

“…As reflected from the Literature Review [ 5 , 9 , 10 , 11 , 12 , 13 , 14 , 15 , 16 , 17 , 18 , 19 , 20 , 21 , 22 , 23 , 24 , 25 , 26 , 27 , 28 , 31 ], they used the Cloud for data execution and storage, which has the following limitations, as shown in Figure 1 :…”

“…Furthermore, it is observed that no fault-tolerance method is used in [ 27 , 28 ]; when any highest priority message does not deliver to the destination, then it may create an efficiency problem of the proposed model.…”

Traffic Intersection Lane Control Using Radio Frequency Identification and 5G Communication

“…There are different algorithms and solutions for traffic management systems architecture [59][60][61]. Most of them use video cameras attached to masts or traffic light poles to analyze the traffic [36,62].…”