An Efficient and Safe Road Condition Monitoring Authentication Scheme Based on Fog Computing

Cui, Mingming; Han, Dong‐Guk; Wang, Jim

doi:10.1109/jiot.2019.2927497

Cited by 78 publications

(34 citation statements)

References 36 publications

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“…By combining two consensus mechanisms, proof of work (PoW) and proof of stake (PoS), the difficulty of mining nodes can be changed dynamically, so the consensus can be reached more efficiently. Reference [16] proposed an efficient and safe road condition monitoring authentication scheme based on fog computing. In reference [17], a kind of Edge-chain was proposed, which used the currency system of blockchain to link the edge computing resources with the resource usage between accounts and IoT devices.…”

Section: Related Workmentioning

confidence: 99%

Fabric-iot: A Blockchain-Based Access Control System in IoT

2020

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IoT devices have some special characteristics, such as mobility, limited performance, and distributed deployment, which makes it difficult for traditional centralized access control methods to support access control in current large-scale IoT environment. To address these challenges, this paper proposes an access control system in IoT named fabric-iot, which is based on Hyperledger Fabric blockchain framework and attributed based access control (ABAC). The system contains three kinds of smart contracts, which are Device Contract (DC), Policy Contract (PC), and Access Contract (AC). DC provides a method to store the URL of resource data produced by devices, and a method to query it. PC provides functions to manage ABAC policies for admin users. AC is the core program to implement an access control method for normal users. Combined with ABAC and blockchain technology, fabric-iot can provide decentralized, fine-grained and dynamic access control management in IoT. To verify the performance of this system, two groups of simulation experiments are designed. The results show that fabric-iot can maintain high throughput in largescale request environment and reach consensus efficiently in a distributed system to ensure data consistency.

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Section: Related Workmentioning

confidence: 99%

Fabric-iot: A Blockchain-Based Access Control System in IoT

2020

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“…is distributed for it. Each user's private key is also formed by the serial number and randomization parameters, so that at the time of decryption, each user's private key is embedded with a different random value [11]. During encryption, the encryption exponent s, the random numbers λ, λ n and the weighted split set parameter x are all embedded in different ciphertext segments.…”

Section: Security Analysismentioning

confidence: 99%

Hierarchical authority based weighted attribute encryption scheme

2019

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With the development of cloud storage technology, data storage security has become increasingly serious. Aiming at the problem that existing attributebased encryption schemes do not consider hierarchical authorities and the weight of attribute. A hierarchical authority based weighted attribute encryption scheme is proposed. This scheme will introduce hierarchical authorities and the weight of attribute into the encryption scheme, so that the authorities have a hierarchical relationship and different attributes have different importance. At the same time, the introduction of the concept of weight makes this scheme more flexible in the cloud storage environment and enables fine-grained access control. In addition, this scheme implements an online/offline encryption mechanism to improve the security of stored data. Security proof and performance analysis show that the scheme is safe and effective, and it can resist collusion attacks by many malicious users and authorization centers. It is more suitable for cloud storage environments than other schemes.

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“…Typical direct-ranging-methods include strength indication of received signal (RSSI) [ 12 , 13 ], time difference of arrival (TDOA) [ 14 ], time of arrival (TOA) [ 15 , 16 ], angle of arrival (AOA) [ 17 , 18 ], and so forth. Indirect-ranging-method mainly uses geometric relationship between nodes, hop-count value and energy loss between nodes, network connectivity and other aspects to estimate the location of unknown nodes [ 19 ]. It includes DV-Hop [ 20 ], perfect point in triangulation test (APIT) [ 21 , 22 ], centroid algorithm [ 23 , 24 ], and so forth.…”

Section: Introductionmentioning

confidence: 99%

Three-Dimensional Localization Algorithm Based on Improved A* and DV-Hop Algorithms in Wireless Sensor Network

Huang

Han

Cui

et al. 2021

Sensors

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In the traditional wireless sensor networks (WSNs) localization algorithm based on the Internet of Things (IoT), the distance vector hop (DV-Hop) localization algorithm has the disadvantages of large deviation and low accuracy in three-dimensional (3D) space. Based on the 3DDV-Hop algorithm and combined with the idea of A* algorithm, this paper proposes a wireless sensor network node location algorithm (MA*-3DDV-Hop) that integrates the improved A* algorithm and the 3DDV-Hop algorithm. In MA*-3DDV-Hop, firstly, the hop-count value of nodes is optimized and the error of average distance per hop is corrected. Then, the multi-objective optimization non dominated sorting genetic algorithm (NSGA-II) is adopted to optimize the coordinates locally. After selection, crossover, mutation, the Pareto optimal solution is obtained, which overcomes the problems of premature convergence and poor convergence of existing algorithms. Moreover, it reduces the error of coordinate calculation and raises the localization accuracy of wireless sensor network nodes. For three different multi-peak random scenes, simulation results show that MA*-3DDV-Hop algorithm has better robustness and higher localization accuracy than the 3DDV-Hop, PSO-3DDV-Hop, GA-3DDV-Hop, and N2-3DDV-Hop.

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An Efficient and Safe Road Condition Monitoring Authentication Scheme Based on Fog Computing

Cited by 78 publications

References 36 publications

Fabric-iot: A Blockchain-Based Access Control System in IoT

Fabric-iot: A Blockchain-Based Access Control System in IoT

Hierarchical authority based weighted attribute encryption scheme

Three-Dimensional Localization Algorithm Based on Improved A* and DV-Hop Algorithms in Wireless Sensor Network

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