Security challenges in vehicular cloud computing

Yan, Gongjun; Wen, Ding; Olariu, Stephan; Weigle, Michele C.

doi:10.1109/tits.2012.2211870

Cited by 229 publications

(104 citation statements)

References 21 publications

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“…Security/data privacy: Security and privacy are well-known and currently unsolved challenges in the cloud arena, and remain as such also in F2C. Deploying fogs in fact exacerbates these issues, as already pointed out in [7] and also in [8] for vehicular clouds, mainly because of the inherent uncontrolled and out-of-surveillance operation mode for some edge devices. In the proposed F2C scenario, and just like in fog computing, security is envisioned as a key issue.…”

Section: Seamless-transparent Managementmentioning

confidence: 99%

Foggy clouds and cloudy fogs: a real need for coordinated management of fog-to-cloud computing systems

Masip-Bruin

Marín‐Tordera

Tashakor

et al. 2016

IEEE Wireless Commun.

241

114

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-The recent advances in the cloud services technology are fueling a plethora of information technology innovation, including networking, storage and computing. Today, various flavors have evolved of Internet of Things (IoT), cloud computing and the so-called fog computing, -a concept referred to capabilities of edge-devices and user's clients to compute, store and exchange data among each other and with the cloud. Though the evolution was not easily foreseeable to happen at such a rapid pace, each piece of it today facilitates and enables the deployment of what we commonly refer to as a smart scenario, including smart cities, smart transportation and smart homes. As most of the cloud, fog and network services today run simultaneously in each scenario, we observe that we are at the dawn of what maybe the next big step in the cloud computing and networking evolution, whereby services might be executed at the network edge, both in parallel and in a coordinated fashion, as well as supported by the unstoppable technology evolution. As edge devices become richer in functionality and smarter, -embedding capacities such as storage or processing, as well as embedding new functionalities, such as decision making, data collection and forwarding, sharing, etc, a real need is emerging for coordinated management of fog-to-cloud (F2C) computing systems. This paper introduces a layered fog-to-cloud (F2C) architecture, its benefits and strengths as well as the arising open and research challenges, making the case for the real need for their coordinated management. Our architecture, the illustrative use case presented and a comparative performance analysis, albeit conceptual, all clearly show the way forward towards a new IoT scenario with a set of existing and unforeseen services provided on a highly distributed and dynamic compute, storage and networking resources, bringing together heterogeneous and commodity edge devices, emerging fogs as well as conventional clouds. Keywords-Cloud computing, fog computing, fog-to-cloud, Internet of Things (IoT) I. INTRODUCTION: THE SCENARIOThe most recent developments in the information and communications technologies area have started to make a profound impact, through massive connectivity of humans and computers, as well as a massive proliferation of edge devices carried by humans (i.e., smart phones, and those associated with all the surroundings -the Internet of Things). These two major commodities not only have facilitated the true "anywhere, anyhow, anytime" users' connectivity, but also the data collection, further enabling the deployment of new value-added services. Today, the scenarios of smart cities, smart transportation and smart homes are no more domain of research of distant future, but are becoming the new "normal". Several references can be found in the literature that already showed the notable effect these concepts can bring to the business market [1]. For a rapid business and technological success to happen, however, two inherent features need to be addressed in t...

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Section: Seamless-transparent Managementmentioning

confidence: 99%

Foggy clouds and cloudy fogs: a real need for coordinated management of fog-to-cloud computing systems

Masip-Bruin

Marín‐Tordera

Tashakor

et al. 2016

IEEE Wireless Commun.

241

114

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“…Yan et al [21] excellently envisaged the safety issues of an innovative outlook of the VANETs, which included taking VANETs to clouds. At first, they brought in the safety and confidentiality issues which VC computing networks habitually encountered, in addition to successfully tackling the probable safety solutions.…”

Section: Related Workmentioning

confidence: 99%

Effective Renewal and Signing Method to Achieve Secure Storage and Computation Using Hybrid RSA-MABC Algorithm

Malik¹,

Jain²

2016

IJIES

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Cloud providers offer several storage services for their users in efficient manner. Cloud users are allowed to store their data in cloud. The data leakage, lack of proper security control policy, and weakness in the data security are the main worries of the companies. We intended to propose a secure cloud storage system RSA-ABC algorithm for encryption and decryption process. Initially the user will login with the aid of private key and public key. Then send a request to the data base administrator for upload a file in a cloud. In this phase we will give one time password and keys. Then the DBA will verify that data and accept that file and encrypt that file and stored in to the cloud server. If the user want that file means they send a request to DBA continue the same process after they will decrypt the file and send to the user.

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“…Obviously, security and privacy issues need to be addressed if the VC concept is to be widely adopted. Conventional networks attempt to prevent attackers from entering a system [10].…”

Section: Introductionmentioning

confidence: 99%

Ensuring Security for Data Storage in Cloud Computing using HECC- ElGamal Cryptosystem and GSO Optimization

Thiyagarajan¹,

RamaChandraRao²

2017

IJIES

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Cloud computing is a popular subject across the IT industry, but many risks associated with this relatively new delivery model is not yet fully understood. Cloud computing is an budding information technology of data storage, of local networks (infrastructure) as well as software and has its advantages of scalability, reliability, high performance and comparatively low cost feasible solution contrast to committed infrastructures. Here, initially the data owner will encrypt the searchable index with ElGamal cryptosystem utilizing Hyper Elliptical Curve Cryptography for double encryption. The ElGamal cryptosystem is utilized for security analysis where in sharing of multiple keys between two parties are performed aiming for better security. The random integer selection in the ElGamal cryptosystem is modified based on optimization process using Modified cuckoo search (MCS). Further Hyper elliptical curve cryptography is incorporated with ElGamal cryptosystem which is utilized for encryption and decryption. Also, the hyper elliptic curve cryptography is modified using auxiliary input in the divisor calculation in order to improve security. For selecting keys, we have used Gravitational search algorithm (GSO). The retrieval process will take a two-round communication between the cloud server and the data user. The experimental results shown that, the recommended technique attains minimum storage cost and minimum computation time when compared to the existing technique.

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Security challenges in vehicular cloud computing

Cited by 229 publications

References 21 publications

Foggy clouds and cloudy fogs: a real need for coordinated management of fog-to-cloud computing systems

Foggy clouds and cloudy fogs: a real need for coordinated management of fog-to-cloud computing systems

Effective Renewal and Signing Method to Achieve Secure Storage and Computation Using Hybrid RSA-MABC Algorithm

Ensuring Security for Data Storage in Cloud Computing using HECC- ElGamal Cryptosystem and GSO Optimization

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