Secure and privacy-aware traffic information as a service in VANET-based clouds

Hussain, Rasheed; Rezaeifar, Zeinab; Lee, Yong-Hwan; Oh, Heekuck

doi:10.1016/j.pmcj.2015.07.007

Cited by 39 publications

(30 citation statements)

References 37 publications

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“…Hussain et al [45] suggested a Secure and privacy-aware Traffic information as a Service (TIaaS) for VANET-based clouds to address the vehicle user privacy issue. The privacy issue is one of the major concern why many vehicle users don't want to take part in the information sharing among vehicles.…”

Section: Privacymentioning

confidence: 99%

“…Also, since vehicles rely on information from the cloud or other vehicle for their navigations, this might cause serious havoc, if there is information distortion by an intruder, it can leads to waste of time, fuel or even loss of life. Several authors [45][46][47][48][49][50][51][52] have made attempt to see how these issues including intrusion detection, authentication and location privacy could be handled. But the reality is that, extensive security related research work need to be done considering both security, privacy, authentication and their efficiency in CC-V. VII.…”

Section: Future Research Challengesmentioning

confidence: 99%

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Cloud Computing in VANETs: Architecture, Taxonomy, and Challenges

Aliyu

Abdullah

Kaiwartya

et al. 2017

IETE Technical Review

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Cloud Computing in VANETs (CC-V) has been investigated into two major themes of research including Vehicular Cloud Computing (VCC) and Vehicle using Cloud (VuC). VCC is the realization of autonomous cloud among vehicles to share their abundant resources. VuC is the efficient usage of conventional cloud by on-road vehicles via a reliable Internet connection. Recently, number of advancements have been made to address the issues and challenges in VCC and VuC. This paper qualitatively reviews CC-V with the emphasis on layered architecture, network component, taxonomy, and future challenges. Specifically, a four-layered architecture for CC-V is proposed including perception, co-ordination, artificial intelligence and smart application layers. Three network component of CC-V namely, vehicle, connection and computation are explored with their cooperative roles. A taxonomy for CC-V is presented considering major themes of research in the area including design of architecture, data dissemination, security, and applications. Related literature on each theme are critically investigated with comparative assessment of recent advances. Finally, some open research challenges are identified as future issues. The challenges are the outcome of the critical and qualitative assessment of literature on CC-V.

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Section: Privacymentioning

confidence: 99%

Section: Future Research Challengesmentioning

confidence: 99%

Cloud Computing in VANETs: Architecture, Taxonomy, and Challenges

Aliyu

Abdullah

Kaiwartya

et al. 2017

IETE Technical Review

View full text Add to dashboard Cite

show abstract

“…However, the protocol is not built on vehicular cloud computing architecture. Recently, Hussain et al proposed a secure and privacyaware traffic information protocol in which each vehicle is authenticated to get a symmetric zone key whenever it enters a new zone [14]. The vehicle also gets a specific RSU key as it enters RSU coverage zone.…”

Section: Secure Traffic Data Disseminationmentioning

confidence: 99%

“…However, few researchers have addressed secure vehicle traffic data broadcast and analysis in which the coarse-grained data generated by the vehicles are uploaded to fixed entities along the roads, analyzed and broadcast to the vehicles. In recent, Hussain et al presented a secure and privacy-aware traffic information protocol based on VANETs using cloud architecture [14]. Their protocol suffers from a multitude of keys requirement within each zone, thus a heavy key distribution protocol would be involved.…”

Section: Introductionmentioning

confidence: 99%

“…Traceability The traceability and non-repudiation properties of the proposed protocol are ensured by the fact that TA has the capability of revealing the real identities of all the entities in case of disputes. For instance, the pseudo-identity of v i is based Table 3 Computational cost of (Hussain et al [14]) and proposed protocol Scheme Sign a message Verify a message Verify n message ECDSA [4] T mul 4T mul n(4T mul )…”

mentioning

confidence: 99%

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Secure vehicle traffic data dissemination and analysis protocol in vehicular cloud computing

Nkenyereye

Rhee

2016

J Supercomput

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Intelligent transportation systems seek to maximize the usage of data generated by the vehicles for road users assistance. Combining vehicular ad hoc network with cloud computing makes it easy for the fixed infrastructures along the roads to collect and analyze safety messages for the benefits of the road users and the transportation authorities. However, security features need to be fully assessed before the adoption of such applications. In this paper, we present a secure vehicle traffic data dissemination and analysis in vehicular cloud computing in which the identity privacy of the vehicles and their generated message is achieved through pseudonym techniques. We use anonymous credential to guarantee the authorization of service demanding vehicles. ID-based signature is applied to assure the authentication of the vehicles for given pseudonyms. The efficient verification of signature on the message and revoked vehicles are achieved through batch verification technique and pseudonymous revocation list, respectively. Traffic estimation methods are applied to mine coarse-grained data collected by road side infrastructures. The merits of the proposed protocol compared to existing ones are shown through extensive simulations.

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Terabit encryption in a second: Performance evaluation of block ciphers in GPU with Kepler, Maxwell, and Pascal architectures

Lee

Goi

Phan

2018

Concurrency and Computation

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Summary With the emergence of IoT and cloud computing technologies, massive data are generated from various applications everyday and communicated through the Internet. Secure communication is essential to protect these data from malicious attacks. Block ciphers are one mechanism to offer such protection but unfortunately involve intensive computations that can be performance bottlenecks to the servers, especially when the data center needs to handle thousands of concurrent transactions. In this paper, we investigate the feasibility of the GPU as an accelerator to perform high‐speed encryption in server environments. We present optimized implementations of a conventional block cipher (AES) and new lightweight block ciphers (LEA, Chaskey, SIMON, SPECK, and SIMECK) across three new GPU architectures (Kepler, Maxwell, and Pascal). For AES, we improve the fine‐grain implementation by utilizing the warp shuffle instruction available in these three new GPU architectures, which yield a 6%‐16% improvement over the previous implementations. For LEA, Chaskey, SIMON, SPECK, and SIMECK, we first analyze why they cannot have efficient fine‐grain implementations in the GPU and then present our optimization techniques, which are able to achieve impressive encryption speeds of 1.912, 637, 1.485, 2.291, and 1.478 Tb/s, respectively, in GTX1080.

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Secure and privacy-aware traffic information as a service in VANET-based clouds

Cited by 39 publications

References 37 publications

Cloud Computing in VANETs: Architecture, Taxonomy, and Challenges

Cloud Computing in VANETs: Architecture, Taxonomy, and Challenges

Secure vehicle traffic data dissemination and analysis protocol in vehicular cloud computing

Terabit encryption in a second: Performance evaluation of block ciphers in GPU with Kepler, Maxwell, and Pascal architectures

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