Vehicular Ad hoc Network (VANET) is a part of intelligent transport system facing the problem of limited bandwidth. Certificateless aggregate signature (CL-AS) scheme gives an efficient solution of solving the limitation of bandwidth and also reduces the computation overhead. Aggregate signature (AS) allows integrating n number of individual signatures on n distinct messages from n distinct users into one single short signature where any signer out of n signers can generate the signature. We propose efficient CLS and CL-AS schemes for VANET. We demonstrate that our CL-AS scheme preserves the conditional privacy, in which message generated by a vehicle is mapped to a distinct pseudo-identity. The security of the proposed scheme is proved in the random oracle model against adaptive chosen-message attacks with the hardness of computational Diffie–Hellman Problem. © 2018, Springer Science+Business Media, LLC, part of Springer Nature.

Arun Kumar S

Department of Information Security

School of Computer Science and Engineering

Vellore Campus

Kumar P

Kumari S

Sharma V

Li X

Islam S.K.H.

Vellore Institute of Technology (VIT) is a private university located in&nbsp;Tamil Nadu, India. Founded in 1984, as Vellore Engineering College, the institution offers 20 undergraduate, 34 postgraduate, four integrated and four research programs. It has campuses in Vellore, Amravati, Bhopal and Chennai.

VIT is one of the top ranked private universities in India according to NIRF, THE and QS Rankings.&nbsp;Govt. of India has recognized&nbsp;VIT, Vellore as an&nbsp;Institution of Eminence. This has allowed VIT to take independent quality initiatives and move up in world ranking.

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VIT University

The Journal of Supercomputing

Fulltext

Machine learning on big data for future computing

Despite the development of new technologies in order to prevent the stealing of cars, the number of car thefts is sharply increasing. With the advent of electronics, new ways to steal cars were found. In order to avoid auto-theft attacks, in this paper we propose a machine learning based method to silently and continuously profile the driver by analyzing built-in vehicle sensors. We consider a dataset composed by 51 different features extracted by 10 different drivers, evaluating the efficiency of the proposed method in driver identification. We also find the most relevant features able to discriminate the car owner by an impostor. We obtain a precision and a recall equal to 99% evaluating a dataset containing data extracted from real vehicle. © 2017 Elsevier Ltd

Computers & Electrical Engineering

Human behavior characterization for driving style recognition in vehicle system

The advances in Cyber–Physical Systems (CPS), vehicular networks and Intelligent Transportation System (ITS) boost a growing interest in the design, development and deployment of Vehicular Cyber–Physical Systems (VCPS) for some emerging applications. As one of the key application for realizing traffic guidance, the traffic prediction could provide better route planning for people and accuracy decision basis for traffic managements. In practice, short-term traffic information has the characteristics of real-time, incompleteness, non-linearity and non-stationary, and few proposed methods could successfully implement this forecasting. In this paper, we proposed a fuzzy Markov prediction model which can estimate the short-term traffic conditions in VCPS in urban environment. First, we selected a real-time GPS dataset in the Shanghai Transport Grid Project as our data source for traffic prediction and pre-process this raw dataset to make it consistent with the practical case. Next, we combine the fuzzy theory with Markov progress in the prediction model, and use the continuous three-step average method to reduce the errors caused by the one-step transition. Finally, we choose the speed and traffic flow to express the metrics of traffic state and use the fuzzy reasoning rules to give out the determined traffic state. The simulation results show that our proposed model can be precisely used for the short-term traffic prediction in urban environment. © 2017 Elsevier B.V.

Future Generation Computer Systems

A short-term traffic prediction model in the vehicular cyber–physical systems

Healthcare industry is one of the areas where wireless sensor network provides a lot of opportunities. Online data sharing in healthcare industry not only increases the efficiency but also reduces the time constraints. In the healthcare wireless sensor network, patient's report is available online for health professionals without any delay after patient's checkup. Data privacy becomes an important issue in healthcare industry due to direct involvement of personal health related data of patients. Modified data may become a serious cause of casualty for patient. Digital signature scheme is a technique of public key cryptography that is widely accepted in digital world to retain privacy and integrity. Certificateless public key cryptography was proposed to remove the complication of certificate management in public key cryptography as well as the key escrow problem inherited in identity based cryptography. An aggregate signature scheme is a many to one map which maps different signatures on different messages to a single signature. This feature is very beneficial in an environment which is constrained by limited bandwidth and low computational time/effort, such as wireless sensor network, vehicular ad-hoc network and Internet of things. Our proposed certificateless aggregate signature enjoys the goodness of both the concepts, certificateless and aggregate. We construct a certificateless aggregate signature scheme and prove the security of constructed scheme by using widely-accepted Random Oracle Model under the computationally hard Diffie-Hellman assumption. Random Oracle Model based security analysis proves that our proposed scheme is provably secure against existential forgery on adaptive chosen message and identity attacks under the hardness of computational Diffie-Hellman problem and achieves the required goals such as confidentiality, non-repudiation and integrity. We use batch verification technique for speedy verification of signatures. Since energy consumption for aggregate signature verification in our scheme is lesser than that in many of the related schemes, the proposed CL-AS scheme is compatible with the resource scanty nature of wireless sensor networks. Thus the proposed CL-AS scheme is efficient and suitable for green healthcare wireless sensor networks (HWSNs). © 2017 Elsevier Inc.

Sustainable Computing: Informatics and Systems

A certificateless aggregate signature scheme for healthcare wireless sensor network

As the concept of smart cities is evolving, the need for automation and effective delivery of services is essential. Over the last few decades, need for safety and security of travelers on the road has been a major concern. Vehicular Ad Hoc Networks (VANETs) can play an influential role in recognizing and implementing such concept, by supporting safety, comfort and infotainment services. However, the complex and inflexible architecture of VANETs faced a set of challenges such as high mobility, intermittent connectivity, heterogeneity of applications. In this context, Software-defined networking (SDN) has emerged as a programmable and flexible network, which has recently gained attention from research communities, businesses, and industries, in both wired network management and heterogeneous wireless communication. This paper aims at examining and classifying a number of related SDN- based research works on wireless networks specially VANETs. Firstly, a brief on the requirements of SDN over traditional networking is provided, followed by an elaboration on basic architecture and its layers. Thereafter, SDN applications in various wireless network areas such as mobile network and VANETs are described along with a focus on analyzing and comparing the current SDN-related research on different parameters. Furthermore, the paper presents a review of current research initiatives to solve challenges of vehicular environment. The impact of SDN paradigm along with implementation issues in vehicular communication and explore likely use cases based on SDN paradigm. © 2017

Sustainable Cities and Society

A Survey on software-defined networking in vehicular ad hoc networks: Challenges, applications and use cases

Many applications, such as intelligent transportation systems and mobile multimedia, use Internet of Vehicles (IoV). In IoV, users often access multimedia content from anywhere using Internet connectivity to remote video streaming servers. Due to the high mobility of the nodes in IoV, however, maintaining quality of service (QoS) for these video streaming applications with respect to parameters such as jitter, throughput, buffering, and transmission delays is a challenging task. Especially in the urban environment, the performance of a video streaming protocol is significantly affected by the variation of the traffic density. As a result, how to effectively analyze the impact of traffic density as well as vehicular mobility on the QoS of video streaming is the key for the routing protocol design in IoV. In this paper, based on the relationship between the traffic density and the latency characteristics in urban environment, two models are proposed to accurately estimate the video streaming latency according to the average inter-vehicle distance and radio range. After that, an optimal routing strategy is given by selecting the path from all available paths to minimize the experienced latency for video streaming. Numerical results show that in urban environments, our proposed model has high accuracy under different configurations. © 2017 Elsevier B.V.

Journal	Data powered by TypesetThe Journal of Supercomputing
Publisher	Data powered by TypesetSpringer Science and Business Media LLC
ISSN	0920-8542
Open Access	0