Context-Aware Quantification for VANET Security: A Markov Chain-Based Scheme
Recently, the quantification of VANET security has drawn significant attention due to the lack of standard computational metrics. The salient features of VANET, such as highly dynamic connections, sensitive information sharing, and unreliable fading channels, make the security quantification challen...
Gespeichert in:
Veröffentlicht in: | IEEE access 2020, Vol.8, p.173618-173626 |
---|---|
Hauptverfasser: | , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 173626 |
---|---|
container_issue | |
container_start_page | 173618 |
container_title | IEEE access |
container_volume | 8 |
creator | Wang, Jian Chen, Hongyang Sun, Zemin |
description | Recently, the quantification of VANET security has drawn significant attention due to the lack of standard computational metrics. The salient features of VANET, such as highly dynamic connections, sensitive information sharing, and unreliable fading channels, make the security quantification challenging. Accurate measurement for VANET security depends on the sufficient understanding of "context", or making sense of the states, environment, or situation. This article proposes a context-aware security quantification scheme for VANET based on the Markov chain. Firstly, a Homogeneous Continuous-Time Markov Chain (HCTMC)-based security state model is designed for VANET. The value of each state of the HCTMC is determined with a value function that incorporates the security strength of transmitted data, dynamic and randomness of the vehicular channel, and transmission delay of the current situated environment of VANETs. Finally, the state transition matrix is derived based on the Homogeneous Discrete-Time Markov Chain (HDTMC) and Homogeneous Poisson Process (HPP). Simulation results show that the security quantification method enables the VANET's system to adopt context-aware defense strategies according to the situated environment. |
doi_str_mv | 10.1109/ACCESS.2020.3017557 |
format | Article |
fullrecord | <record><control><sourceid>proquest_ieee_</sourceid><recordid>TN_cdi_ieee_primary_9170576</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><ieee_id>9170576</ieee_id><doaj_id>oai_doaj_org_article_fac787cd9baa4ce5a39565e13347a81e</doaj_id><sourcerecordid>2454680610</sourcerecordid><originalsourceid>FETCH-LOGICAL-c408t-33b4d7b0cec8ec7163b8b3a3be3b86faf6bc3d9ce87e989a6fa7a68a9e02be13</originalsourceid><addsrcrecordid>eNpNUV1LxDAQLKKgqL_gXgo-90ya5su3Wk49OBW5w9ewTbeaUxtNe378e6OVw33ZYZiZXZgkmVAypZTo07KqZsvlNCc5mTJCJedyJznIqdAZ40zs_sP7yXHfr0kcFSkuD5JF5bsBP4es_ICA6d0GusG1zsLgfJe2PqT35c1slS7RboIbvs7SMr2G8OTf0-oRXJedQ49NurSP-IJHyV4Lzz0e_-3DZHUxW1VX2eL2cl6Vi8wWRA0ZY3XRyJpYtAqtpILVqmbAaoxAtNCK2rJGW1QStdIQKQlCgUaS10jZYTIfYxsPa_Ma3AuEL-PBmV_ChwcDYXD2GU0LVippG10DFBY5MM0FjxmskKAoxqyTMes1-LcN9oNZ-03o4vcmL3ghFBGURBUbVTb4vg_Ybq9SYn5KMGMJ5qcE81dCdE1Gl0PErUNTSbgU7BtFjoKF</addsrcrecordid><sourcetype>Open Website</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2454680610</pqid></control><display><type>article</type><title>Context-Aware Quantification for VANET Security: A Markov Chain-Based Scheme</title><source>IEEE Open Access Journals</source><source>DOAJ Directory of Open Access Journals</source><source>EZB-FREE-00999 freely available EZB journals</source><creator>Wang, Jian ; Chen, Hongyang ; Sun, Zemin</creator><creatorcontrib>Wang, Jian ; Chen, Hongyang ; Sun, Zemin</creatorcontrib><description>Recently, the quantification of VANET security has drawn significant attention due to the lack of standard computational metrics. The salient features of VANET, such as highly dynamic connections, sensitive information sharing, and unreliable fading channels, make the security quantification challenging. Accurate measurement for VANET security depends on the sufficient understanding of "context", or making sense of the states, environment, or situation. This article proposes a context-aware security quantification scheme for VANET based on the Markov chain. Firstly, a Homogeneous Continuous-Time Markov Chain (HCTMC)-based security state model is designed for VANET. The value of each state of the HCTMC is determined with a value function that incorporates the security strength of transmitted data, dynamic and randomness of the vehicular channel, and transmission delay of the current situated environment of VANETs. Finally, the state transition matrix is derived based on the Homogeneous Discrete-Time Markov Chain (HDTMC) and Homogeneous Poisson Process (HPP). Simulation results show that the security quantification method enables the VANET's system to adopt context-aware defense strategies according to the situated environment.</description><identifier>ISSN: 2169-3536</identifier><identifier>EISSN: 2169-3536</identifier><identifier>DOI: 10.1109/ACCESS.2020.3017557</identifier><identifier>CODEN: IAECCG</identifier><language>eng</language><publisher>Piscataway: IEEE</publisher><subject>Adaptation models ; Context ; Delays ; Markov analysis ; Markov chain ; Markov chains ; Markov processes ; Security ; Security quantification ; state transition ; VANET ; Vehicle dynamics ; Vehicular ad hoc networks</subject><ispartof>IEEE access, 2020, Vol.8, p.173618-173626</ispartof><rights>Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2020</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c408t-33b4d7b0cec8ec7163b8b3a3be3b86faf6bc3d9ce87e989a6fa7a68a9e02be13</citedby><cites>FETCH-LOGICAL-c408t-33b4d7b0cec8ec7163b8b3a3be3b86faf6bc3d9ce87e989a6fa7a68a9e02be13</cites><orcidid>0000-0002-7701-8511</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktohtml>$$Uhttps://ieeexplore.ieee.org/document/9170576$$EHTML$$P50$$Gieee$$Hfree_for_read</linktohtml><link.rule.ids>314,780,784,864,2102,4024,27633,27923,27924,27925,54933</link.rule.ids></links><search><creatorcontrib>Wang, Jian</creatorcontrib><creatorcontrib>Chen, Hongyang</creatorcontrib><creatorcontrib>Sun, Zemin</creatorcontrib><title>Context-Aware Quantification for VANET Security: A Markov Chain-Based Scheme</title><title>IEEE access</title><addtitle>Access</addtitle><description>Recently, the quantification of VANET security has drawn significant attention due to the lack of standard computational metrics. The salient features of VANET, such as highly dynamic connections, sensitive information sharing, and unreliable fading channels, make the security quantification challenging. Accurate measurement for VANET security depends on the sufficient understanding of "context", or making sense of the states, environment, or situation. This article proposes a context-aware security quantification scheme for VANET based on the Markov chain. Firstly, a Homogeneous Continuous-Time Markov Chain (HCTMC)-based security state model is designed for VANET. The value of each state of the HCTMC is determined with a value function that incorporates the security strength of transmitted data, dynamic and randomness of the vehicular channel, and transmission delay of the current situated environment of VANETs. Finally, the state transition matrix is derived based on the Homogeneous Discrete-Time Markov Chain (HDTMC) and Homogeneous Poisson Process (HPP). Simulation results show that the security quantification method enables the VANET's system to adopt context-aware defense strategies according to the situated environment.</description><subject>Adaptation models</subject><subject>Context</subject><subject>Delays</subject><subject>Markov analysis</subject><subject>Markov chain</subject><subject>Markov chains</subject><subject>Markov processes</subject><subject>Security</subject><subject>Security quantification</subject><subject>state transition</subject><subject>VANET</subject><subject>Vehicle dynamics</subject><subject>Vehicular ad hoc networks</subject><issn>2169-3536</issn><issn>2169-3536</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><sourceid>ESBDL</sourceid><sourceid>RIE</sourceid><sourceid>DOA</sourceid><recordid>eNpNUV1LxDAQLKKgqL_gXgo-90ya5su3Wk49OBW5w9ewTbeaUxtNe378e6OVw33ZYZiZXZgkmVAypZTo07KqZsvlNCc5mTJCJedyJznIqdAZ40zs_sP7yXHfr0kcFSkuD5JF5bsBP4es_ICA6d0GusG1zsLgfJe2PqT35c1slS7RboIbvs7SMr2G8OTf0-oRXJedQ49NurSP-IJHyV4Lzz0e_-3DZHUxW1VX2eL2cl6Vi8wWRA0ZY3XRyJpYtAqtpILVqmbAaoxAtNCK2rJGW1QStdIQKQlCgUaS10jZYTIfYxsPa_Ma3AuEL-PBmV_ChwcDYXD2GU0LVippG10DFBY5MM0FjxmskKAoxqyTMes1-LcN9oNZ-03o4vcmL3ghFBGURBUbVTb4vg_Ybq9SYn5KMGMJ5qcE81dCdE1Gl0PErUNTSbgU7BtFjoKF</recordid><startdate>2020</startdate><enddate>2020</enddate><creator>Wang, Jian</creator><creator>Chen, Hongyang</creator><creator>Sun, Zemin</creator><general>IEEE</general><general>The Institute of Electrical and Electronics Engineers, Inc. (IEEE)</general><scope>97E</scope><scope>ESBDL</scope><scope>RIA</scope><scope>RIE</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>7SR</scope><scope>8BQ</scope><scope>8FD</scope><scope>JG9</scope><scope>JQ2</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>DOA</scope><orcidid>https://orcid.org/0000-0002-7701-8511</orcidid></search><sort><creationdate>2020</creationdate><title>Context-Aware Quantification for VANET Security: A Markov Chain-Based Scheme</title><author>Wang, Jian ; Chen, Hongyang ; Sun, Zemin</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c408t-33b4d7b0cec8ec7163b8b3a3be3b86faf6bc3d9ce87e989a6fa7a68a9e02be13</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><topic>Adaptation models</topic><topic>Context</topic><topic>Delays</topic><topic>Markov analysis</topic><topic>Markov chain</topic><topic>Markov chains</topic><topic>Markov processes</topic><topic>Security</topic><topic>Security quantification</topic><topic>state transition</topic><topic>VANET</topic><topic>Vehicle dynamics</topic><topic>Vehicular ad hoc networks</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wang, Jian</creatorcontrib><creatorcontrib>Chen, Hongyang</creatorcontrib><creatorcontrib>Sun, Zemin</creatorcontrib><collection>IEEE All-Society Periodicals Package (ASPP) 2005-present</collection><collection>IEEE Open Access Journals</collection><collection>IEEE All-Society Periodicals Package (ASPP) 1998-Present</collection><collection>IEEE Electronic Library (IEL)</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Engineered Materials Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Materials 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><collection>DOAJ Directory of Open Access Journals</collection><jtitle>IEEE access</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wang, Jian</au><au>Chen, Hongyang</au><au>Sun, Zemin</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Context-Aware Quantification for VANET Security: A Markov Chain-Based Scheme</atitle><jtitle>IEEE access</jtitle><stitle>Access</stitle><date>2020</date><risdate>2020</risdate><volume>8</volume><spage>173618</spage><epage>173626</epage><pages>173618-173626</pages><issn>2169-3536</issn><eissn>2169-3536</eissn><coden>IAECCG</coden><abstract>Recently, the quantification of VANET security has drawn significant attention due to the lack of standard computational metrics. The salient features of VANET, such as highly dynamic connections, sensitive information sharing, and unreliable fading channels, make the security quantification challenging. Accurate measurement for VANET security depends on the sufficient understanding of "context", or making sense of the states, environment, or situation. This article proposes a context-aware security quantification scheme for VANET based on the Markov chain. Firstly, a Homogeneous Continuous-Time Markov Chain (HCTMC)-based security state model is designed for VANET. The value of each state of the HCTMC is determined with a value function that incorporates the security strength of transmitted data, dynamic and randomness of the vehicular channel, and transmission delay of the current situated environment of VANETs. Finally, the state transition matrix is derived based on the Homogeneous Discrete-Time Markov Chain (HDTMC) and Homogeneous Poisson Process (HPP). Simulation results show that the security quantification method enables the VANET's system to adopt context-aware defense strategies according to the situated environment.</abstract><cop>Piscataway</cop><pub>IEEE</pub><doi>10.1109/ACCESS.2020.3017557</doi><tpages>9</tpages><orcidid>https://orcid.org/0000-0002-7701-8511</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 2169-3536 |
ispartof | IEEE access, 2020, Vol.8, p.173618-173626 |
issn | 2169-3536 2169-3536 |
language | eng |
recordid | cdi_ieee_primary_9170576 |
source | IEEE Open Access Journals; DOAJ Directory of Open Access Journals; EZB-FREE-00999 freely available EZB journals |
subjects | Adaptation models Context Delays Markov analysis Markov chain Markov chains Markov processes Security Security quantification state transition VANET Vehicle dynamics Vehicular ad hoc networks |
title | Context-Aware Quantification for VANET Security: A Markov Chain-Based Scheme |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-23T16%3A33%3A52IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_ieee_&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Context-Aware%20Quantification%20for%20VANET%20Security:%20A%20Markov%20Chain-Based%20Scheme&rft.jtitle=IEEE%20access&rft.au=Wang,%20Jian&rft.date=2020&rft.volume=8&rft.spage=173618&rft.epage=173626&rft.pages=173618-173626&rft.issn=2169-3536&rft.eissn=2169-3536&rft.coden=IAECCG&rft_id=info:doi/10.1109/ACCESS.2020.3017557&rft_dat=%3Cproquest_ieee_%3E2454680610%3C/proquest_ieee_%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2454680610&rft_id=info:pmid/&rft_ieee_id=9170576&rft_doaj_id=oai_doaj_org_article_fac787cd9baa4ce5a39565e13347a81e&rfr_iscdi=true |