A Multivariant Stream Analysis Approach to Detect and Mitigate DDoS Attacks in Vehicular Ad Hoc Networks
Vehicular Ad Hoc Networks (VANETs) are rapidly gaining attention due to the diversity of services that they can potentially offer. However, VANET communication is vulnerable to numerous security threats such as Distributed Denial of Service (DDoS) attacks. Dealing with these attacks in VANET is a ch...
Gespeichert in:
Veröffentlicht in: | Wireless communications and mobile computing 2018-01, Vol.2018 (2018), p.1-13 |
---|---|
Hauptverfasser: | , , , , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 13 |
---|---|
container_issue | 2018 |
container_start_page | 1 |
container_title | Wireless communications and mobile computing |
container_volume | 2018 |
creator | Alnuem, Mohammed A. Reza Z’aba, Muhammad Ahmad, Iftikhar Ahmedy, Ismail Md Noor, Rafidah Kolandaisamy, Raenu Imran, Muhammad |
description | Vehicular Ad Hoc Networks (VANETs) are rapidly gaining attention due to the diversity of services that they can potentially offer. However, VANET communication is vulnerable to numerous security threats such as Distributed Denial of Service (DDoS) attacks. Dealing with these attacks in VANET is a challenging problem. Most of the existing DDoS detection techniques suffer from poor accuracy and high computational overhead. To cope with these problems, we present a novel Multivariant Stream Analysis (MVSA) approach. The proposed MVSA approach maintains the multiple stages for detection DDoS attack in network. The Multivariant Stream Analysis gives unique result based on the Vehicle-to-Vehicle communication through Road Side Unit. The approach observes the traffic in different situations and time frames and maintains different rules for various traffic classes in various time windows. The performance of the MVSA is evaluated using an NS2 simulator. Simulation results demonstrate the effectiveness and efficiency of the MVSA regarding detection accuracy and reducing the impact on VANET communication. |
doi_str_mv | 10.1155/2018/2874509 |
format | Article |
fullrecord | <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_journals_2407627627</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>2407627627</sourcerecordid><originalsourceid>FETCH-LOGICAL-c360t-66a29bb6e49caaa52289230b077b4b55dc52d7c4955dca5c7208894f18e2c3023</originalsourceid><addsrcrecordid>eNqF0EFLwzAUB_AiCs7pzbMEPGpdkjZNcyybOmHTw9RreU1Tm61rZ5I69u1tqehRePDe4cfjvb_nXRJ8RwhjE4pJPKExDxkWR96IsAD7ccT58e8ciVPvzNo1xjjAlIy8MkHLtnL6C4yG2qGVMwq2KKmhOlhtUbLbmQZkiVyDZsop6RDUOVpqpz_AKTSbNSuUOAdyY5Gu0bsqtWwrMCjJ0byR6Fm5fWM29tw7KaCy6uKnj723h_vX6dxfvDw-TZOFL4MIOz-KgIosi1QoJAAwSmNBA5xhzrMwYyyXjOZchqIfgUlOcRyLsCCxorJ7KRh718Pe7u7PVlmXrpvWdO_YlIaYR7SvTt0OSprGWqOKdGf0FswhJTjts0z7LNOfLDt-M_BS1zns9X_6atCqM6qAP00JEwELvgHX7XwL</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2407627627</pqid></control><display><type>article</type><title>A Multivariant Stream Analysis Approach to Detect and Mitigate DDoS Attacks in Vehicular Ad Hoc Networks</title><source>Wiley Online Library Open Access</source><source>Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals</source><source>Alma/SFX Local Collection</source><creator>Alnuem, Mohammed A. ; Reza Z’aba, Muhammad ; Ahmad, Iftikhar ; Ahmedy, Ismail ; Md Noor, Rafidah ; Kolandaisamy, Raenu ; Imran, Muhammad</creator><contributor>Zhang, Yin</contributor><creatorcontrib>Alnuem, Mohammed A. ; Reza Z’aba, Muhammad ; Ahmad, Iftikhar ; Ahmedy, Ismail ; Md Noor, Rafidah ; Kolandaisamy, Raenu ; Imran, Muhammad ; Zhang, Yin</creatorcontrib><description>Vehicular Ad Hoc Networks (VANETs) are rapidly gaining attention due to the diversity of services that they can potentially offer. However, VANET communication is vulnerable to numerous security threats such as Distributed Denial of Service (DDoS) attacks. Dealing with these attacks in VANET is a challenging problem. Most of the existing DDoS detection techniques suffer from poor accuracy and high computational overhead. To cope with these problems, we present a novel Multivariant Stream Analysis (MVSA) approach. The proposed MVSA approach maintains the multiple stages for detection DDoS attack in network. The Multivariant Stream Analysis gives unique result based on the Vehicle-to-Vehicle communication through Road Side Unit. The approach observes the traffic in different situations and time frames and maintains different rules for various traffic classes in various time windows. The performance of the MVSA is evaluated using an NS2 simulator. Simulation results demonstrate the effectiveness and efficiency of the MVSA regarding detection accuracy and reducing the impact on VANET communication.</description><identifier>ISSN: 1530-8669</identifier><identifier>EISSN: 1530-8677</identifier><identifier>DOI: 10.1155/2018/2874509</identifier><language>eng</language><publisher>Cairo, Egypt: Hindawi Publishing Corporation</publisher><subject>Algorithms ; Communication ; Computer simulation ; Denial of service attacks ; Infrastructure ; Mobile ad hoc networks ; Roads & highways ; Roadsides ; Vehicles ; Windows (intervals) ; Wireless networks</subject><ispartof>Wireless communications and mobile computing, 2018-01, Vol.2018 (2018), p.1-13</ispartof><rights>Copyright © 2018 Raenu Kolandaisamy et al.</rights><rights>Copyright © 2018 Raenu Kolandaisamy et al. This work is licensed under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.</rights><lds50>peer_reviewed</lds50><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c360t-66a29bb6e49caaa52289230b077b4b55dc52d7c4955dca5c7208894f18e2c3023</citedby><cites>FETCH-LOGICAL-c360t-66a29bb6e49caaa52289230b077b4b55dc52d7c4955dca5c7208894f18e2c3023</cites><orcidid>0000-0002-6946-2591 ; 0000-0003-4324-8965 ; 0000-0001-9801-6462 ; 0000-0002-5049-207X ; 0000-0001-6266-2390 ; 0000-0003-0556-7770</orcidid></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids></links><search><contributor>Zhang, Yin</contributor><creatorcontrib>Alnuem, Mohammed A.</creatorcontrib><creatorcontrib>Reza Z’aba, Muhammad</creatorcontrib><creatorcontrib>Ahmad, Iftikhar</creatorcontrib><creatorcontrib>Ahmedy, Ismail</creatorcontrib><creatorcontrib>Md Noor, Rafidah</creatorcontrib><creatorcontrib>Kolandaisamy, Raenu</creatorcontrib><creatorcontrib>Imran, Muhammad</creatorcontrib><title>A Multivariant Stream Analysis Approach to Detect and Mitigate DDoS Attacks in Vehicular Ad Hoc Networks</title><title>Wireless communications and mobile computing</title><description>Vehicular Ad Hoc Networks (VANETs) are rapidly gaining attention due to the diversity of services that they can potentially offer. However, VANET communication is vulnerable to numerous security threats such as Distributed Denial of Service (DDoS) attacks. Dealing with these attacks in VANET is a challenging problem. Most of the existing DDoS detection techniques suffer from poor accuracy and high computational overhead. To cope with these problems, we present a novel Multivariant Stream Analysis (MVSA) approach. The proposed MVSA approach maintains the multiple stages for detection DDoS attack in network. The Multivariant Stream Analysis gives unique result based on the Vehicle-to-Vehicle communication through Road Side Unit. The approach observes the traffic in different situations and time frames and maintains different rules for various traffic classes in various time windows. The performance of the MVSA is evaluated using an NS2 simulator. Simulation results demonstrate the effectiveness and efficiency of the MVSA regarding detection accuracy and reducing the impact on VANET communication.</description><subject>Algorithms</subject><subject>Communication</subject><subject>Computer simulation</subject><subject>Denial of service attacks</subject><subject>Infrastructure</subject><subject>Mobile ad hoc networks</subject><subject>Roads & highways</subject><subject>Roadsides</subject><subject>Vehicles</subject><subject>Windows (intervals)</subject><subject>Wireless networks</subject><issn>1530-8669</issn><issn>1530-8677</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2018</creationdate><recordtype>article</recordtype><sourceid>RHX</sourceid><sourceid>BENPR</sourceid><recordid>eNqF0EFLwzAUB_AiCs7pzbMEPGpdkjZNcyybOmHTw9RreU1Tm61rZ5I69u1tqehRePDe4cfjvb_nXRJ8RwhjE4pJPKExDxkWR96IsAD7ccT58e8ciVPvzNo1xjjAlIy8MkHLtnL6C4yG2qGVMwq2KKmhOlhtUbLbmQZkiVyDZsop6RDUOVpqpz_AKTSbNSuUOAdyY5Gu0bsqtWwrMCjJ0byR6Fm5fWM29tw7KaCy6uKnj723h_vX6dxfvDw-TZOFL4MIOz-KgIosi1QoJAAwSmNBA5xhzrMwYyyXjOZchqIfgUlOcRyLsCCxorJ7KRh718Pe7u7PVlmXrpvWdO_YlIaYR7SvTt0OSprGWqOKdGf0FswhJTjts0z7LNOfLDt-M_BS1zns9X_6atCqM6qAP00JEwELvgHX7XwL</recordid><startdate>20180101</startdate><enddate>20180101</enddate><creator>Alnuem, Mohammed A.</creator><creator>Reza Z’aba, Muhammad</creator><creator>Ahmad, Iftikhar</creator><creator>Ahmedy, Ismail</creator><creator>Md Noor, Rafidah</creator><creator>Kolandaisamy, Raenu</creator><creator>Imran, Muhammad</creator><general>Hindawi Publishing Corporation</general><general>Hindawi</general><general>Hindawi Limited</general><scope>ADJCN</scope><scope>AHFXO</scope><scope>RHU</scope><scope>RHW</scope><scope>RHX</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>7XB</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>JQ2</scope><scope>K7-</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>M0N</scope><scope>P5Z</scope><scope>P62</scope><scope>PHGZM</scope><scope>PHGZT</scope><scope>PIMPY</scope><scope>PKEHL</scope><scope>PQEST</scope><scope>PQGLB</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>Q9U</scope><orcidid>https://orcid.org/0000-0002-6946-2591</orcidid><orcidid>https://orcid.org/0000-0003-4324-8965</orcidid><orcidid>https://orcid.org/0000-0001-9801-6462</orcidid><orcidid>https://orcid.org/0000-0002-5049-207X</orcidid><orcidid>https://orcid.org/0000-0001-6266-2390</orcidid><orcidid>https://orcid.org/0000-0003-0556-7770</orcidid></search><sort><creationdate>20180101</creationdate><title>A Multivariant Stream Analysis Approach to Detect and Mitigate DDoS Attacks in Vehicular Ad Hoc Networks</title><author>Alnuem, Mohammed A. ; Reza Z’aba, Muhammad ; Ahmad, Iftikhar ; Ahmedy, Ismail ; Md Noor, Rafidah ; Kolandaisamy, Raenu ; Imran, Muhammad</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c360t-66a29bb6e49caaa52289230b077b4b55dc52d7c4955dca5c7208894f18e2c3023</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2018</creationdate><topic>Algorithms</topic><topic>Communication</topic><topic>Computer simulation</topic><topic>Denial of service attacks</topic><topic>Infrastructure</topic><topic>Mobile ad hoc networks</topic><topic>Roads & highways</topic><topic>Roadsides</topic><topic>Vehicles</topic><topic>Windows (intervals)</topic><topic>Wireless networks</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Alnuem, Mohammed A.</creatorcontrib><creatorcontrib>Reza Z’aba, Muhammad</creatorcontrib><creatorcontrib>Ahmad, Iftikhar</creatorcontrib><creatorcontrib>Ahmedy, Ismail</creatorcontrib><creatorcontrib>Md Noor, Rafidah</creatorcontrib><creatorcontrib>Kolandaisamy, Raenu</creatorcontrib><creatorcontrib>Imran, Muhammad</creatorcontrib><collection>الدوريات العلمية والإحصائية - e-Marefa Academic and Statistical Periodicals</collection><collection>معرفة - المحتوى العربي الأكاديمي المتكامل - e-Marefa Academic Complete</collection><collection>Hindawi Publishing Complete</collection><collection>Hindawi Publishing Subscription Journals</collection><collection>Hindawi Publishing Open Access</collection><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Computer Science Collection</collection><collection>Computer Science Database</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>Computing Database</collection><collection>Advanced Technologies & Aerospace Database</collection><collection>ProQuest Advanced Technologies & Aerospace Collection</collection><collection>ProQuest Central (New)</collection><collection>ProQuest One Academic (New)</collection><collection>Publicly Available Content Database</collection><collection>ProQuest One Academic Middle East (New)</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Applied & Life Sciences</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>ProQuest Central Basic</collection><jtitle>Wireless communications and mobile computing</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Alnuem, Mohammed A.</au><au>Reza Z’aba, Muhammad</au><au>Ahmad, Iftikhar</au><au>Ahmedy, Ismail</au><au>Md Noor, Rafidah</au><au>Kolandaisamy, Raenu</au><au>Imran, Muhammad</au><au>Zhang, Yin</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>A Multivariant Stream Analysis Approach to Detect and Mitigate DDoS Attacks in Vehicular Ad Hoc Networks</atitle><jtitle>Wireless communications and mobile computing</jtitle><date>2018-01-01</date><risdate>2018</risdate><volume>2018</volume><issue>2018</issue><spage>1</spage><epage>13</epage><pages>1-13</pages><issn>1530-8669</issn><eissn>1530-8677</eissn><abstract>Vehicular Ad Hoc Networks (VANETs) are rapidly gaining attention due to the diversity of services that they can potentially offer. However, VANET communication is vulnerable to numerous security threats such as Distributed Denial of Service (DDoS) attacks. Dealing with these attacks in VANET is a challenging problem. Most of the existing DDoS detection techniques suffer from poor accuracy and high computational overhead. To cope with these problems, we present a novel Multivariant Stream Analysis (MVSA) approach. The proposed MVSA approach maintains the multiple stages for detection DDoS attack in network. The Multivariant Stream Analysis gives unique result based on the Vehicle-to-Vehicle communication through Road Side Unit. The approach observes the traffic in different situations and time frames and maintains different rules for various traffic classes in various time windows. The performance of the MVSA is evaluated using an NS2 simulator. Simulation results demonstrate the effectiveness and efficiency of the MVSA regarding detection accuracy and reducing the impact on VANET communication.</abstract><cop>Cairo, Egypt</cop><pub>Hindawi Publishing Corporation</pub><doi>10.1155/2018/2874509</doi><tpages>13</tpages><orcidid>https://orcid.org/0000-0002-6946-2591</orcidid><orcidid>https://orcid.org/0000-0003-4324-8965</orcidid><orcidid>https://orcid.org/0000-0001-9801-6462</orcidid><orcidid>https://orcid.org/0000-0002-5049-207X</orcidid><orcidid>https://orcid.org/0000-0001-6266-2390</orcidid><orcidid>https://orcid.org/0000-0003-0556-7770</orcidid><oa>free_for_read</oa></addata></record> |
fulltext | fulltext |
identifier | ISSN: 1530-8669 |
ispartof | Wireless communications and mobile computing, 2018-01, Vol.2018 (2018), p.1-13 |
issn | 1530-8669 1530-8677 |
language | eng |
recordid | cdi_proquest_journals_2407627627 |
source | Wiley Online Library Open Access; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Alma/SFX Local Collection |
subjects | Algorithms Communication Computer simulation Denial of service attacks Infrastructure Mobile ad hoc networks Roads & highways Roadsides Vehicles Windows (intervals) Wireless networks |
title | A Multivariant Stream Analysis Approach to Detect and Mitigate DDoS Attacks in Vehicular Ad Hoc Networks |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-18T04%3A45%3A02IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=A%20Multivariant%20Stream%20Analysis%20Approach%20to%20Detect%20and%20Mitigate%20DDoS%20Attacks%20in%20Vehicular%20Ad%20Hoc%20Networks&rft.jtitle=Wireless%20communications%20and%20mobile%20computing&rft.au=Alnuem,%20Mohammed%20A.&rft.date=2018-01-01&rft.volume=2018&rft.issue=2018&rft.spage=1&rft.epage=13&rft.pages=1-13&rft.issn=1530-8669&rft.eissn=1530-8677&rft_id=info:doi/10.1155/2018/2874509&rft_dat=%3Cproquest_cross%3E2407627627%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2407627627&rft_id=info:pmid/&rfr_iscdi=true |