Energy-Efficient End-to-End Security for Software-Defined Vehicular Networks

Raja, Gunasekaran; Anbalagan, Sudha; Vijayaraghavan, Geetha; Dhanasekaran, Priyanka; Al‐Otaibi, Yasser D.; Bashir, Ali Kashif

doi:10.1109/tii.2020.3012166

Cited by 62 publications

(26 citation statements)

References 24 publications

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“…In this section, we have compared our proposed scheme with other state-of-the-art schemes [ 27 , 28 , 29 , 30 , 31 ] in terms of transmission, processing cost, and the number of messages exchanges during transmission. Furthermore, to compute our proposed scheme’s operational cost, we have counted the major and costly operations.…”

Section: Proposed Scheme Performance Analysismentioning

confidence: 99%

“…According to [ 32 ], the per unit cost of scalar multiplication is

ms, and the per-unit cost of exponentiation is

ms while one bilinear pair is

ms. Therefore, we have calculated our proposed and other existing [ 27 , 28 , 29 , 30 , 31 ] schemes’ operational comparative cost analysis. The detailed comparative cost analysis is reflected in Table 3 .…”

Section: Proposed Scheme Performance Analysismentioning

confidence: 99%

“…The detailed comparative cost analysis is reflected in Table 3 . According to Gunasakaran et al [ 31 ], ECC multiplication, hash, symmetric encryption, and decryption are

ms,

ms, and

ms. Therefore, as per these stated several unit operations, our proposed scheme, mutual authentication, consumes

seconds, which is also reflected in Figure 13 .…”

Section: Proposed Scheme Performance Analysismentioning

confidence: 99%

See 2 more Smart Citations

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

Adnan

Iqbal

Waheed

et al. 2021

Sensors

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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.

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Section: Proposed Scheme Performance Analysismentioning

confidence: 99%

“…According to [ 32 ], the per unit cost of scalar multiplication is

ms, and the per-unit cost of exponentiation is

ms while one bilinear pair is

Section: Proposed Scheme Performance Analysismentioning

confidence: 99%

“…The detailed comparative cost analysis is reflected in Table 3 . According to Gunasakaran et al [ 31 ], ECC multiplication, hash, symmetric encryption, and decryption are

ms,

ms, and

ms. Therefore, as per these stated several unit operations, our proposed scheme, mutual authentication, consumes

seconds, which is also reflected in Figure 13 .…”

Section: Proposed Scheme Performance Analysismentioning

confidence: 99%

See 1 more Smart Citation

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

Adnan

Iqbal

Waheed

et al. 2021

Sensors

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show abstract

“…Vehicular ad hoc networks (VANET) [1,2] can genuinely be viewed as a game changer in repainting the future of electric vehicles. The incorporation of the concept of 5G communication modes is also being widely discussed.…”

Section: Introductionmentioning

confidence: 99%

Designing a Wind Energy Harvester for Connected Vehicles in Green Cities

et al. 2021

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Electric vehicles (EVs) have recently gained momentum as an integral part of the Internet of Vehicles (IoV) when authorities started expanding their low emission zones (LEZs) in an effort to build green cities with low carbon footprints. Energy is one of the key requirements of EVs, not only to support the smooth and sustainable operation of EVs, but also to ensure connectivity between the vehicle and the infrastructure in the critical times such as disaster recovery operation. In this context, renewable energy sources (such as wind energy) have an important role to play in the automobile sector towards designing energy-harvesting electric vehicles (EH-EV) to mitigate energy reliance on the national grid. In this article, a novel approach is presented to harness energy from a small-scale wind turbine due to vehicle mobility to support the communication primitives in electric vehicles which enable plenty of IoV use cases. The harvested power is then processed through a regulation circuitry to consequently achieve the desired power supply for the end load (i.e., battery or super capacitor). The suitable orientation for optimum conversion efficiency is proposed through ANSYS-based aerodynamics analysis. The voltage-induced by the DC generator is 35 V under the no-load condition while it is 25 V at a rated current of 6.9 A at full-load, yielding a supply of 100 W (on constant voltage) at a speed of 90 mph for nominal battery charging.

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“…Vehicular Adhoc Networks (VANET) [1,2] can genuinely be viewed as a game changer in repainting the future of electric vehicles. The incorporation of the concept of 5G communication modes is also in wide discussion.…”

Section: Introductionmentioning

confidence: 99%

Designing Wind Energy Harvester for Connected Vehicles in Green Cities

Khan¹,

Sherazi²,

Ali³

et al. 2021

Preprint

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The recent advancements in the field of communication have led data sharing to become an integral part of today's smart cities with the evolution of concepts such as the internet of vehicles (IoV) paradigm. As a part of IoV, Electric Vehicles (EVs) have recently gained momentum as authorities have started expanding their Low Emission Zones (LEZ) in an effort to build green cities with low carbon footprints. Energy is one of the key requirements of EVs not only to support the smooth and sustainable operation of EV itself but to also ensure connectivity between the vehicles and infrastructure with controlling devices like sensors and actuators installed within an EV. In this context, renewable energy sources (such as wind energy) dramatically play their parts in the automobile sector towards designing the energy harvesting electric vehicles (EH-EV) to pare the energy reliance on the national grid. In this article, a novel approach is presented to achieve electric generation due to vehicle mobility to support the communication primitives in electric vehicles which enables plenty of IoV use cases in the presence of surplus energy at hand. A small-scale wind turbine is designed to harness wind power for converting it into mechanical power. This power is then fed to the onboard DC generator to produce electrical energy. Furthermore, the acquired power is processed through a regulation circuitry to consequently achieve the desired power supply for the end load, i.e. the batteries installed. The suitable orientation for efficient power generation is proposed on ANSYS-based aerodynamics analysis. The voltages induced by DC generator at No-Load condition are 35V while at Full-Load 25V are generated at rated current of 6.9A, along with the generation of power at around 100W (at constant voltage) at the rated speed of 90 mph for nominal battery charging. Moreover, the acquired data can be monitored via an android application interface by using a Bluetooth module.

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Energy-Efficient End-to-End Security for Software-Defined Vehicular Networks

Cited by 62 publications

References 24 publications

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

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

Designing a Wind Energy Harvester for Connected Vehicles in Green Cities

Designing Wind Energy Harvester for Connected Vehicles in Green Cities

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