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Enhancing the security and performance of nodes in Internet of Vehicles
Summary Internet of Vehicles is recorded as an ever growing area for connected vehicles to exchange their information with other vehicles using vehicle‐to‐vehicle communication. Vehicle‐to‐vehicle communication is possible by forming vehicular ad hoc networks, with the help of roadside units using v...
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Published in: | Concurrency and computation 2021-04, Vol.33 (7), p.1-1 |
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creator | Vijayarangam, S. Chandra Babu, Gokulnath Ananda Murugan, S. Kalpana, N. Malarvizhi Kumar, Priyan |
description | Summary
Internet of Vehicles is recorded as an ever growing area for connected vehicles to exchange their information with other vehicles using vehicle‐to‐vehicle communication. Vehicle‐to‐vehicle communication is possible by forming vehicular ad hoc networks, with the help of roadside units using vehicle‐to‐roadside communications in the network. Internet of networks has many advantages such as road safety, traffic management, and sharing information on daily traffic and updating traffic information. For example, the Internet of Vehicles can be used to reduce traffic and deaths occurring due to road accidents, to reduce the fuel needed, and to reduce travel time. Interconnected vehicles rapidly learn about road conditions and traffic and respond to the driver; thus, necessary actions are taken. However, the attacker can modify the information in the connected vehicles and, thus, creates problem on the road. Data fascination is one of the main attacks on connected vehicles where connected vehicles take action based on information from the other vehicle. In this paper, first, a model has been proposed to detect the data fascination attack using the hashing technique to enhance the security in the interconnected vehicles by adjusting the size of the contention window to transfer original information to other interconnected vehicles at the correct time. Second, a model has been suggested to reduce the travel time in case of traffic congestion. The efficiency of the proposed model is checked using numerical methods obtained from the simulation results. From the obtained results, the proposed approach prevents data fascination attacks in interconnected vehicles and provides high throughput with lower delay. |
doi_str_mv | 10.1002/cpe.5080 |
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Internet of Vehicles is recorded as an ever growing area for connected vehicles to exchange their information with other vehicles using vehicle‐to‐vehicle communication. Vehicle‐to‐vehicle communication is possible by forming vehicular ad hoc networks, with the help of roadside units using vehicle‐to‐roadside communications in the network. Internet of networks has many advantages such as road safety, traffic management, and sharing information on daily traffic and updating traffic information. For example, the Internet of Vehicles can be used to reduce traffic and deaths occurring due to road accidents, to reduce the fuel needed, and to reduce travel time. Interconnected vehicles rapidly learn about road conditions and traffic and respond to the driver; thus, necessary actions are taken. However, the attacker can modify the information in the connected vehicles and, thus, creates problem on the road. Data fascination is one of the main attacks on connected vehicles where connected vehicles take action based on information from the other vehicle. In this paper, first, a model has been proposed to detect the data fascination attack using the hashing technique to enhance the security in the interconnected vehicles by adjusting the size of the contention window to transfer original information to other interconnected vehicles at the correct time. Second, a model has been suggested to reduce the travel time in case of traffic congestion. The efficiency of the proposed model is checked using numerical methods obtained from the simulation results. From the obtained results, the proposed approach prevents data fascination attacks in interconnected vehicles and provides high throughput with lower delay.</description><identifier>ISSN: 1532-0626</identifier><identifier>EISSN: 1532-0634</identifier><identifier>DOI: 10.1002/cpe.5080</identifier><language>eng</language><publisher>Hoboken: Wiley Subscription Services, Inc</publisher><subject>data fascination attacks ; interconnected vehicles ; Internet ; Internet of Vehicles ; layers ; Mobile ad hoc networks ; Numerical methods ; Roadsides ; Safety management ; security ; Traffic congestion ; Traffic information ; Traffic management ; Traffic safety ; Travel time ; Vehicles</subject><ispartof>Concurrency and computation, 2021-04, Vol.33 (7), p.1-1</ispartof><rights>2018 John Wiley & Sons, Ltd.</rights><rights>2021 John Wiley & Sons, Ltd.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c2930-7e7c1b855e7985981ff51455965ff25e80df167713ff5dbd94940ec7d3fa5a493</citedby><cites>FETCH-LOGICAL-c2930-7e7c1b855e7985981ff51455965ff25e80df167713ff5dbd94940ec7d3fa5a493</cites><orcidid>0000-0003-1484-8531</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://onlinelibrary.wiley.com/doi/pdf/10.1002%2Fcpe.5080$$EPDF$$P50$$Gwiley$$H</linktopdf><linktohtml>$$Uhttps://onlinelibrary.wiley.com/doi/full/10.1002%2Fcpe.5080$$EHTML$$P50$$Gwiley$$H</linktohtml><link.rule.ids>315,786,790,27957,27958,50923,51032</link.rule.ids></links><search><creatorcontrib>Vijayarangam, S.</creatorcontrib><creatorcontrib>Chandra Babu, Gokulnath</creatorcontrib><creatorcontrib>Ananda Murugan, S.</creatorcontrib><creatorcontrib>Kalpana, N.</creatorcontrib><creatorcontrib>Malarvizhi Kumar, Priyan</creatorcontrib><title>Enhancing the security and performance of nodes in Internet of Vehicles</title><title>Concurrency and computation</title><description>Summary
Internet of Vehicles is recorded as an ever growing area for connected vehicles to exchange their information with other vehicles using vehicle‐to‐vehicle communication. Vehicle‐to‐vehicle communication is possible by forming vehicular ad hoc networks, with the help of roadside units using vehicle‐to‐roadside communications in the network. Internet of networks has many advantages such as road safety, traffic management, and sharing information on daily traffic and updating traffic information. For example, the Internet of Vehicles can be used to reduce traffic and deaths occurring due to road accidents, to reduce the fuel needed, and to reduce travel time. Interconnected vehicles rapidly learn about road conditions and traffic and respond to the driver; thus, necessary actions are taken. However, the attacker can modify the information in the connected vehicles and, thus, creates problem on the road. Data fascination is one of the main attacks on connected vehicles where connected vehicles take action based on information from the other vehicle. In this paper, first, a model has been proposed to detect the data fascination attack using the hashing technique to enhance the security in the interconnected vehicles by adjusting the size of the contention window to transfer original information to other interconnected vehicles at the correct time. Second, a model has been suggested to reduce the travel time in case of traffic congestion. The efficiency of the proposed model is checked using numerical methods obtained from the simulation results. From the obtained results, the proposed approach prevents data fascination attacks in interconnected vehicles and provides high throughput with lower delay.</description><subject>data fascination attacks</subject><subject>interconnected vehicles</subject><subject>Internet</subject><subject>Internet of Vehicles</subject><subject>layers</subject><subject>Mobile ad hoc networks</subject><subject>Numerical methods</subject><subject>Roadsides</subject><subject>Safety management</subject><subject>security</subject><subject>Traffic congestion</subject><subject>Traffic information</subject><subject>Traffic management</subject><subject>Traffic safety</subject><subject>Travel time</subject><subject>Vehicles</subject><issn>1532-0626</issn><issn>1532-0634</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2021</creationdate><recordtype>article</recordtype><recordid>eNp1kFFLwzAQx4MoOKvgRwj44kvnJWna5lFGnYOBPqivoUsvrqNLa9Ii_fbrnPjm0x33_90d_Ai5ZTBnAPzBdDiXkMMZmTEpeAypSM7_ep5ekqsQdgCMgWAzsizctnSmdp-03yINaAZf9yMtXUU79Lb1-ylG2lrq2goDrR1duR69w_44_MBtbRoM1-TClk3Am98akfen4m3xHK9flqvF4zo2XAmIM8wM2-RSYqZyqXJmrWSJlCqV1nKJOVSWpVnGxBRUm0olKgE0WSVsKctEiYjcne52vv0aMPR61w7eTS81l6B4wmFajsj9iTK-DcGj1Z2v96UfNQN91KQnTfqoaULjE_pdNzj-y-nFa_HDHwCdWWde</recordid><startdate>20210410</startdate><enddate>20210410</enddate><creator>Vijayarangam, S.</creator><creator>Chandra Babu, Gokulnath</creator><creator>Ananda Murugan, S.</creator><creator>Kalpana, N.</creator><creator>Malarvizhi Kumar, Priyan</creator><general>Wiley Subscription Services, Inc</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>8FD</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><orcidid>https://orcid.org/0000-0003-1484-8531</orcidid></search><sort><creationdate>20210410</creationdate><title>Enhancing the security and performance of nodes in Internet of Vehicles</title><author>Vijayarangam, S. ; Chandra Babu, Gokulnath ; Ananda Murugan, S. ; Kalpana, N. ; Malarvizhi Kumar, Priyan</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c2930-7e7c1b855e7985981ff51455965ff25e80df167713ff5dbd94940ec7d3fa5a493</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2021</creationdate><topic>data fascination attacks</topic><topic>interconnected vehicles</topic><topic>Internet</topic><topic>Internet of Vehicles</topic><topic>layers</topic><topic>Mobile ad hoc networks</topic><topic>Numerical methods</topic><topic>Roadsides</topic><topic>Safety management</topic><topic>security</topic><topic>Traffic congestion</topic><topic>Traffic information</topic><topic>Traffic management</topic><topic>Traffic safety</topic><topic>Travel time</topic><topic>Vehicles</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Vijayarangam, S.</creatorcontrib><creatorcontrib>Chandra Babu, Gokulnath</creatorcontrib><creatorcontrib>Ananda Murugan, S.</creatorcontrib><creatorcontrib>Kalpana, N.</creatorcontrib><creatorcontrib>Malarvizhi Kumar, Priyan</creatorcontrib><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Technology Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><jtitle>Concurrency and computation</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Vijayarangam, S.</au><au>Chandra Babu, Gokulnath</au><au>Ananda Murugan, S.</au><au>Kalpana, N.</au><au>Malarvizhi Kumar, Priyan</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Enhancing the security and performance of nodes in Internet of Vehicles</atitle><jtitle>Concurrency and computation</jtitle><date>2021-04-10</date><risdate>2021</risdate><volume>33</volume><issue>7</issue><spage>1</spage><epage>1</epage><pages>1-1</pages><issn>1532-0626</issn><eissn>1532-0634</eissn><abstract>Summary
Internet of Vehicles is recorded as an ever growing area for connected vehicles to exchange their information with other vehicles using vehicle‐to‐vehicle communication. Vehicle‐to‐vehicle communication is possible by forming vehicular ad hoc networks, with the help of roadside units using vehicle‐to‐roadside communications in the network. Internet of networks has many advantages such as road safety, traffic management, and sharing information on daily traffic and updating traffic information. For example, the Internet of Vehicles can be used to reduce traffic and deaths occurring due to road accidents, to reduce the fuel needed, and to reduce travel time. Interconnected vehicles rapidly learn about road conditions and traffic and respond to the driver; thus, necessary actions are taken. However, the attacker can modify the information in the connected vehicles and, thus, creates problem on the road. Data fascination is one of the main attacks on connected vehicles where connected vehicles take action based on information from the other vehicle. In this paper, first, a model has been proposed to detect the data fascination attack using the hashing technique to enhance the security in the interconnected vehicles by adjusting the size of the contention window to transfer original information to other interconnected vehicles at the correct time. Second, a model has been suggested to reduce the travel time in case of traffic congestion. The efficiency of the proposed model is checked using numerical methods obtained from the simulation results. From the obtained results, the proposed approach prevents data fascination attacks in interconnected vehicles and provides high throughput with lower delay.</abstract><cop>Hoboken</cop><pub>Wiley Subscription Services, Inc</pub><doi>10.1002/cpe.5080</doi><tpages>1</tpages><orcidid>https://orcid.org/0000-0003-1484-8531</orcidid></addata></record> |
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subjects | data fascination attacks interconnected vehicles Internet Internet of Vehicles layers Mobile ad hoc networks Numerical methods Roadsides Safety management security Traffic congestion Traffic information Traffic management Traffic safety Travel time Vehicles |
title | Enhancing the security and performance of nodes in Internet of Vehicles |
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