Secure and Efficient Content Distribution in Crowdsourced Vehicular Content-Centric Networking

Li, Chengming; Gong, Shimin; Wang, Xiaojie; Wang, Lei; Jiang, Qingshan; Okamura, Koji

doi:10.1109/access.2017.2778502

Cited by 20 publications

(11 citation statements)

References 34 publications

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“…Part of the aim of privacy and security researchers in this area is to ensure "privacy-by-design" [39]. End-to-end (E2E) encryption [40,41] is vital to harden communications across the network, so malicious actors cannot passively collect information in transit. In addition to E2E encryption, obfuscation techniques related to the location metadata of the data collection agent [42][43][44][45] are necessary when the data is being processed at the end of its journey through the communications network.…”

Section: Security and Privacymentioning

confidence: 99%

“…Mobile Spatial Automated Sensing Task Recruitment [38,47] Advanced routing strategies beyond minimizing time traveled; powered through crowd-sourced data X X X [30] Spectrum sensing assignment X [11] Multi-objective task allocation X X [31] Ratings system for crowdsourced workers X [36] Spatial Crowdsourcing Task assignment survey X X [37] Crowdsourcing assignment for mobile crowdsensing X Edge Computing [33,48] Edge computing architectures for mobile crowdsensing X [10,49] Efficient data processing and handling on the edge X [27] Survey of IoT; discussion of edge computing X X X Security/Privacy [40,41] End-to-end encrypted mobile crowdsourcing X [42][43][44][45] Obfuscation of identifying information of crowdsourcing by reducing granularity of data X X X [46] Obfuscation of data in edge computing servers X [39] Perspectives and suggestions of engineering "privacy by design" in smart vehicles X…”

Section: Concept Reference(s) Contribution Crowdsourcing Variantmentioning

confidence: 99%

“…Security and privacy must be built into the system while it is being developed [39]. End-to-end encryption is utilized to safeguard communications in transit [40,41], and obfuscation methods are used to anonymize data during mission-critical processing tasks [42][43][44]46].…”

Section: Concept Reference(s) Contribution Crowdsourcing Variantmentioning

confidence: 99%

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Leveraging Intelligent Transportation Systems and Smart Vehicles Using Crowdsourcing: An Overview

et al. 2020

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The current and expected future proliferation of mobile and embedded technology provides unique opportunities for crowdsourcing platforms to gather more user data for making data-driven decisions at the system level. Intelligent Transportation Systems (ITS) and Vehicular Social Networks (VSN) can be leveraged by mobile, spatial, and passive sensing crowdsourcing techniques due to improved connectivity, higher throughput, smart vehicles containing many embedded systems and sensors, and novel distributed processing techniques. These crowdsourcing systems have the capability of profoundly transforming transportation systems for the better by providing more data regarding (but not limited to) infrastructure health, navigation pathways, and congestion management. In this paper, we review and discuss the architecture and types of ITS crowdsourcing. Then, we delve into the techniques and technologies that serve as the foundation for these systems to function while providing some simulation results to show benefits from the implementation of these techniques and technologies on specific crowdsourcing-based ITS systems. Afterward, we provide an overview of cutting edge work associated with ITS crowdsourcing challenges. Finally, we propose various use-cases and applications for ITS crowdsourcing, and suggest some open research directions.

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Section: Security and Privacymentioning

confidence: 99%

Section: Concept Reference(s) Contribution Crowdsourcing Variantmentioning

confidence: 99%

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Leveraging Intelligent Transportation Systems and Smart Vehicles Using Crowdsourcing: An Overview

et al. 2020

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“…C. Li, S. Gong, X. Wang, L. Wang, Q. Jiang, and K. Okamura [15] used a new Crowd-sourced Vehicular Content-Centric Networking (CVCCN) approach for secure and efficient content distribution. The developed methodology enabled the nearby vehicles in order to crowd-source the radio links and caching resources for cooperative content distribution.…”

Section: Literature Reviewmentioning

confidence: 99%

Modified Floyd Warshall Algorithm for Cache Management in Information Centric Network

Kumar¹,

Reddy²

2020

IJIES

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Information Centric Network (ICN) is one of the growing network environments that provides the majority of internet activities, which are related to information access and delivery. In ICN, users can obtain information contents of the caches in ICN routers. However, how to use the caches effectively is one of the main challenges faced by the researchers. Thus, several research studies are developed for reducing the cache overlaps among routers, since that limits the interests towards the caches. In order to address this problem, a new shortest path estimation algorithm (Modified Floyd Warshall Algorithm (MFWA)) was developed to identify the shortest path in each subnet for retrieving the cache memory data quickly. In MFWA, a new iterative matrix was used to eliminate the invalid paths that helps to retrieve the cache memory data quickly. In this research work, an ICN network was generated based on the concept of GEANT topology and tested with dissimilar cache management policies such as Hash Routing Symmetric (HR-SYMM), Hash Routing Asymmetric (HR-ASYMM), Hash Routing Hybrid Asymmetric Multicast (HR-HYBRID-AM), Hash Routing Hybrid Symmetric Multicast (HR-HYBRID-SM), and Hash Routing Multicast (HR-MULTICAST). In experimental section, the proposed shortest path estimation method showed better performance in light of latency, link load and cache hit ratio as compared to the existing approaches: Floyd Warshall Algorithm (FWA), Dijkstra's Algorithm (DA), and Enhanced Dijkstra's Algorithm (EDA). The experimental outcome showed that the proposed approach improved cache hit ratio up to 4-30% as related to the existing methods.

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“…In [30], a crowd-sourced vehicular content-centric networking (CVCCN) framework is proposed to improve efficiency in content distribution. Identity-based proxy reencryption and named function networking are incorporated in this framework to improve security in content sharing and to preserve privacy of the vehicles.…”

Section: Related Workmentioning

confidence: 99%

A Three-Tier Architecture for Securing IoV Communications Using Vehicular Dependencies

Tolba

Altameem

2019

IEEE Access

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Internet of Vehicles (IoV) incorporates environmental entities and networks for information exchange and service provisioning in roadside communications. Smart vehicle-assisted communications are exposed to higher risks as they communicate using wireless medium. Denial of service (DoS) types of attack gain control over the wireless medium to isolate resources and services to the end users. Reputationbased vehicle-assisted communication (RVAC) proposed in this paper mitigates the DoS attack by using global and local dependences of the vehicles. Global and local dependences are modeled by observing the transmission attributes associated with the vehicles. To ease adversary mitigation, the process of assessing vehicle attributes and decision-making is distributed across three tiers, categorized in the IoV architecture. The central authority (CA) works in a cooperative manner with the roadside units (RSUs) to ensure only legitimate vehicles participated in the communication process. The efficiency of the proposed RVAC is assessed and verified through the extensive simulation results. The RVAC performance is evaluated based upon detection time, communication loss, delay, false positive factor, and vehicle selection. The impact of vehicle density and adversary ratio is considered in the performance evaluation. The experimental results illustrate that the proposed RVAC retains a highly reputed vehicle selection rate with fewer false positives, less communication loss, and shorter communication delay and detection time. INDEX TERMS Internet of Vehicle, neighbor discovery in VANETs, trusted vehicle selection, vehicle reputation, denial of service.

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Secure and Efficient Content Distribution in Crowdsourced Vehicular Content-Centric Networking

Cited by 20 publications

References 34 publications

Leveraging Intelligent Transportation Systems and Smart Vehicles Using Crowdsourcing: An Overview

Leveraging Intelligent Transportation Systems and Smart Vehicles Using Crowdsourcing: An Overview

Modified Floyd Warshall Algorithm for Cache Management in Information Centric Network

A Three-Tier Architecture for Securing IoV Communications Using Vehicular Dependencies

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