Presentation Title

A Data-Centric Approach to Taming the Message Dissemination in the Internet of Vehicles

Faculty Mentor

Dr. Shahab Tayeb, Dr. Matin Pirouz

Start Date

23-11-2019 10:30 AM

End Date

23-11-2019 10:45 AM

Location

Markstein 105

Session

oral 2

Type of Presentation

Oral Talk

Subject Area

engineering_computer_science

Abstract

The Internet of Vehicles (IoV) aims to establish a network of autonomous and connected vehicles that communicate with one another and with road-side units (RSUs) and a central trust authority (TA). Messages must be efficiently and securely disseminated to conserve resources and preserve network security. Currently, there is much research on the security schemes and methods of disseminating messages. Furthermore, there is a deficiency of information regarding resource optimization. This paper takes an interdisciplinary approach by merging both cybersecurity and data science to optimize and secure the network. The proposed method applies Dijkstra’s algorithm to an existing vehicular security scheme, Privacy-Preserving Dual Authentication Scheme (PPDAS), to further network efficiency in terms of power and time consumption. When a dual authentication security scheme is in place, the time taken for message dissemination follows a quadratic growth; applying Dijkstra’s algorithm to the security scheme reduces the time to disseminate messages to a linear growth. The number of messages sent was decreased by a magnitude of up to 44.57. Contemporary security schemes are compared with PPDAS to justify the overhead consumption. The usage of network resources, such as power and time, is reduced, which substantially enhances the performance of the vehicular network and allows for the scalability of the IoV.

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Nov 23rd, 10:30 AM Nov 23rd, 10:45 AM

A Data-Centric Approach to Taming the Message Dissemination in the Internet of Vehicles

Markstein 105

The Internet of Vehicles (IoV) aims to establish a network of autonomous and connected vehicles that communicate with one another and with road-side units (RSUs) and a central trust authority (TA). Messages must be efficiently and securely disseminated to conserve resources and preserve network security. Currently, there is much research on the security schemes and methods of disseminating messages. Furthermore, there is a deficiency of information regarding resource optimization. This paper takes an interdisciplinary approach by merging both cybersecurity and data science to optimize and secure the network. The proposed method applies Dijkstra’s algorithm to an existing vehicular security scheme, Privacy-Preserving Dual Authentication Scheme (PPDAS), to further network efficiency in terms of power and time consumption. When a dual authentication security scheme is in place, the time taken for message dissemination follows a quadratic growth; applying Dijkstra’s algorithm to the security scheme reduces the time to disseminate messages to a linear growth. The number of messages sent was decreased by a magnitude of up to 44.57. Contemporary security schemes are compared with PPDAS to justify the overhead consumption. The usage of network resources, such as power and time, is reduced, which substantially enhances the performance of the vehicular network and allows for the scalability of the IoV.