Novel Vehicular Compatibility based Ad-hoc Message Routing Scheme in the Internet of Vehicles using Machine Learning

2021 ◽  
pp. 1-1
Author(s):  
Farooque Hassan Kumbhar ◽  
Soo Young Shin
Keyword(s):  
Machine Learning ◽  
Ad Hoc ◽  
The Internet ◽  
Message Routing ◽  
Internet Of Vehicles ◽  
Routing Scheme

scholarly journals Internet of Vehicles over Vanets: Smart and Secure Communication using IoT

2020 ◽  
Vol 21 (3) ◽  
pp. 425-440 ◽  
Author(s):  
Sumit Kumar ◽  
Jaspreet Singh
Keyword(s):  
Traffic Congestion ◽  
Secure Communication ◽  
Vehicular Ad Hoc Networks ◽  
Ad Hoc ◽  
Data Communication ◽  
Security And Privacy ◽  
The Internet ◽  
Time Data ◽  
Internet Of Vehicles ◽  
Hoc Networks

The new age of the Internet of Things (IoT) is motivating the advancement of traditional Vehicular Ad-Hoc Networks (VANETs) into the Internet of Vehicles (IoV). This paper is an overview of smart and secure communications to reduce traffic congestion using IoT based VANETs, known as IoV networks. Studies and observations made in this paper suggest that the practice of combining IoT and VANET for a secure combination has rarely practiced. IoV uses real-time data communication between vehicles to everything (V2X) using wireless communication devices based on fog/edge computing; therefore, it has considered as an application of Cyber-physical systems (CPS). Various modes of V2X communication with their connecting technologies also discussed. This paper delivers a detailed introduction to the Internet of Vehicles (IoV) with current applications, discusses the architecture of IoV based on currently existing communication technologies and routing protocols, presenting different issues in detail, provides several open research challenges and the trade-off between security and privacy in the area of IoV has reviewed. From the analysis of previous work in the IoV network, we concluded the utilization of artificial intelligence and machine learning concept is a beneficial step toward the future of IoV model.

scholarly journals Review on Security of Information Dissemination and Various Protocols in the Internet-of-Vehicles

2019 ◽  
Vol 7 (6) ◽  
pp. 20-24
Author(s):  
Shradha Tembhare ◽  
Abhishek Mishra
Keyword(s):  
Routing Protocols ◽  
Information Dissemination ◽  
Ad Hoc ◽  
High Mobility ◽  
The Internet ◽  
Internet Of Vehicles ◽  
Vehicle To Vehicle ◽  
Data Provision ◽  
Distinct Features

Internet of Vehicles (IoV) is viewed as a developing worldview for associated vehicles to trade their data with different vehicles utilizing vehicle-to-vehicle (V2V) correspondences by framing a vehicular ad-hoc systems (VANETs), with roadside units utilizing vehicle-to-roadside (V2R) interchanges. Performance of this smart ITS mainly owes to the design of efficient routing protocols in VANETs. Distinct features of VANETs like unsteady connectivity, high mobility and partitioning of the network have made routing of the information in VANETs difficult and challenging, hence dictating the development of efficient routing protocols. The computation of the best route measures the performance of communication whereas routing protocols takes care of communication & routing of the data. Provision of smart communication, necessitates the analysis of routing protocols in VANET. Accordingly in this paper, reviewed various types of existing routing protocols and security approaches in VANET are discussed.

scholarly journals Would Current Ad-Hoc Routing Protocols be Adequate for the Internet of Vehicles? A Comparative Study

2018 ◽  
Vol 5 (5) ◽  
pp. 3683-3691 ◽  
Author(s):  
Armir Bujari ◽  
Ombretta Gaggi ◽  
Claudio Enrico Palazzi ◽  
Daniele Ronzani
Keyword(s):  
Comparative Study ◽  
Routing Protocols ◽  
Ad Hoc ◽  
The Internet ◽  
Ad Hoc Routing ◽  
Internet Of Vehicles

scholarly journals Analysis of Various Techniques of Internet of Vehicles

2020 ◽  
Vol 9 (1) ◽  
pp. 1532-1535
Keyword(s):  
Internet Of Things ◽  
Data Aggregation ◽  
Ad Hoc Network ◽  
Ad Hoc ◽  
Research Work ◽  
Vehicular Ad Hoc Network ◽  
The Internet ◽  
Internet Of Vehicles ◽  
The Internet Of Things ◽  
Road Side Units

The vehicular ad hoc network is the network in which vehicles can move from one location to another without help of driver. The vehicle ad hoc network has two type of communication which is vehicles to vehicle and vehicle to road side units. The internet of things is the technology in which source can transmit sensed information over the internet. This research work is based on the vehicle of internet things. In the vehicles of internet things, the vehicles are connected with each other through internet. The various techniques of data aggregation in vehicle of things are reviewed in this paper and analyzed in terms of certain parameters

scholarly journals Blockchain-Based Internet of Vehicles Privacy Protection System

2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Tianhong Su ◽  
Sujie Shao ◽  
Shaoyong Guo ◽  
Min Lei
Keyword(s):  
Privacy Protection ◽  
Vehicular Ad Hoc Networks ◽  
Ad Hoc ◽  
Local Area ◽  
Protection System ◽  
The Internet ◽  
Internet Of Vehicles ◽  
System Service ◽  
Hoc Networks ◽  
Transportation Technologies

With the development of wireless local area networks and intelligent transportation technologies, the Internet of Vehicles is considered to be an effective method to alleviate the severe situation of the current transportation system. The vehicles in the Internet of Vehicles system build the Vehicular Ad Hoc Networks through wireless communication technology and dynamically provide different services through the real-time driving information broadcast by the vehicles. Vehicle drivers can control the distance, planning the driving route, between vehicles according to the current traffic environment, which improves the overall safety and efficiency of the traffic system. Due to the particularity of the Internet of Vehicles system service, vehicles need to broadcast their location information frequently. Attackers can collect and analyze vehicle broadcast information to steal privacy and even directionally track the owner through the driving trajectory, bringing serious security risks. This paper proposes a blockchain-based privacy protection system for the Internet of Vehicles. The system combines the blockchain with the Internet of Vehicles system to design a safe and efficient two-way authentication and key agreement algorithm through encryption and signature algorithm, which also solves the central dependency problem of the traditional Internet of Vehicles system.

scholarly journals Clustering-Based Modified Ant Colony Optimizer for Internet of Vehicles (CACOIOV)

2019 ◽  
Vol 11 (9) ◽  
pp. 2624 ◽  
Author(s):  
Sahar Ebadinezhad ◽  
Ziya Dereboylu ◽  
Enver Ever
Keyword(s):  
Clustering Algorithm ◽  
Ad Hoc ◽  
Intelligent System ◽  
Ant Colony ◽  
Route Optimization ◽  
Traffic Density ◽  
The Internet ◽  
Transmission Range ◽  
Internet Of Vehicles ◽  
Routing Performance

The Internet of Vehicles (IoV) has recently become an emerging promising field of research due to the increasing number of vehicles each day. IoV is vehicle communications, which is also a part of the Internet of Things (IoT). Continuous topological changes of vehicular communications are a significant issue in IoV that can affect the change in network scalability, and the shortest routing path. Therefore, organizing efficient and reliable intercommunication routes between vehicular nodes, based on conditions of traffic density is an increasingly challenging issue. For such issues, clustering is one of the solutions, among other routing protocols, such as geocast, topology, and position-based routing. This paper focuses mainly on the scalability and the stability of the topology of IoV. In this study, a novel intelligent system-based algorithm is proposed (CACOIOV), which stabilizes topology by using a metaheuristic clustering algorithm based on the enhancement of Ant Colony Optimization (ACO) in two distinct stages for packet route optimization. Another algorithm, called mobility Dynamic Aware Transmission Range on Local traffic Density (DA-TRLD), is employed together with CACOIOV for the adaptation of transmission range regarding of density in local traffic. The results presented through NS-2 simulations show that the new protocol is superior to both Ad hoc On-demand Distance Vector (AODV) routing and (ACO) protocols based on evaluating routing performance in terms of throughput, packet delivery, and drop ratio, cluster numbers, and average end-to-end delay.

Detecting Abnormal Behavior of an IoT Device in the Network Based on a Traffic Model

Telecom IT ◽  
2019 ◽  
Vol 7 (3) ◽  
pp. 50-55
Author(s):  
D. Saharov ◽  
D. Kozlov
Keyword(s):  
Machine Learning ◽  
Internet Of Things ◽  
Mobile Networks ◽  
Learning Algorithms ◽  
Machine Learning Algorithms ◽  
Abnormal Behavior ◽  
Traffic Model ◽  
The Internet ◽  
Wide Spread ◽  
The Internet Of Things

The article deals with the СoAP Protocol that regulates the transmission and reception of information traf-fic by terminal devices in IoT networks. The article describes a model for detecting abnormal traffic in 5G/IoT networks using machine learning algorithms, as well as the main methods for solving this prob-lem. The relevance of the article is due to the wide spread of the Internet of things and the upcoming update of mobile networks to the 5g generation.

Utilizing Blockchain Technology in Social Media Bot Identification

2020 ◽  
Author(s):  
Shreya Reddy ◽  
Lisa Ewen ◽  
Pankti Patel ◽  
Prerak Patel ◽  
Ankit Kundal ◽  
...  
Keyword(s):  
Machine Learning ◽  
Social Media ◽  
Gold Standard ◽  
The Internet ◽  
Learning Models ◽  
Current Time ◽  
Machine Learning Methods ◽  
Blockchain Technology ◽  
Modern Age ◽  
Machine Learning Models

<p>As bots become more prevalent and smarter in the modern age of the internet, it becomes ever more important that they be identified and removed. Recent research has dictated that machine learning methods are accurate and the gold standard of bot identification on social media. Unfortunately, machine learning models do not come without their negative aspects such as lengthy training times, difficult feature selection, and overwhelming pre-processing tasks. To overcome these difficulties, we are proposing a blockchain framework for bot identification. At the current time, it is unknown how this method will perform, but it serves to prove the existence of an overwhelming gap of research under this area.<i></i></p>

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