Route Inference Based Sinkhole Attack Detection System f or Mobile Ad Hoc Networks

Mobile Ad Hoc Network (MANET) is a highly popular wireless network technology due to the proliferation of wireless devices. The characteristic of mobile ad hoc network is described as wireless links and open medium, centralized decision making, dynamic topology, limited power supply, bandwidth const...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:International journal of innovative technology and exploring engineering 2020-03, Vol.9 (5), p.944-950
Hauptverfasser: Poongothai, T., Jayarajan, K.
Format: Artikel
Sprache:eng
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 950
container_issue 5
container_start_page 944
container_title International journal of innovative technology and exploring engineering
container_volume 9
creator Poongothai, T.
Jayarajan, K.
description Mobile Ad Hoc Network (MANET) is a highly popular wireless network technology due to the proliferation of wireless devices. The characteristic of mobile ad hoc network is described as wireless links and open medium, centralized decision making, dynamic topology, limited power supply, bandwidth constraint and no predefined boundary. Due to its unique characteristics, this technology has been used to support communications in situations where it may be impossible to deploy infrastructure networks, such as military battlefields, disaster recovery sites and medical emergency situations. However, they appear to be susceptible to a variety of attacks than any other networks. The nodes of a MANET communicate with each other with the help of intermediate nodes. Each node of a network act as a host as well as a router. Efficient routing protocols have been developed to support the functionality of each node. These protocols trust that all the nodes are cooperative and well behaved. But some nodes act as a malicious node and launch various attacks on routing protocols. Mainly sinkhole attack affects the routing functionality of the network. Therefore, route inference-based attack detection has been proposed to handle the sinkhole attack in the networks. The proposed system computes the weight value by considering route factor, flow factor and sink factor. Based on the weight value, a malicious node is identified. The experiment results indicate that, the proposed system achieved a packet delivery ratio of 99.6% and throughput of 2700 kbps.
doi_str_mv 10.35940/ijitee.E2635.039520
format Article
fullrecord <record><control><sourceid>crossref</sourceid><recordid>TN_cdi_crossref_primary_10_35940_ijitee_E2635_039520</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>10_35940_ijitee_E2635_039520</sourcerecordid><originalsourceid>FETCH-LOGICAL-c910-cd79e9c75e60e7dee79e0c32dc1ebaa42445cc7b0a5d54ba215075253f3c88cb3</originalsourceid><addsrcrecordid>eNpNkN1OwkAUhDdGEwnyBl7sC7Se_evPJSIKCWoC3Dfb09NYCl2zu8bw9iJ44dXMJJNJ5mPsXkCqTKnhodt1kSidy0yZFFRpJFyxkZR5kSjIzfU_f8smIewAQCgtiqwcsfXafUXiy6ElTwMSf7SBGr7phv7D7YlPY7TY8yeKhLFzA98cQ6QDb7nz_NXV3W-n4QuH_I3it_N9uGM3rd0HmvzpmG2f59vZIlm9vyxn01WCpYAEm7ykEnNDGVDeEJ0ioJINCqqt1VJrg5jXYE1jdG2lMKcD0qhWYVFgrcZMX2bRuxA8tdWn7w7WHysB1ZlMdSFTnclUFzLqBy9cWK0</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Route Inference Based Sinkhole Attack Detection System f or Mobile Ad Hoc Networks</title><source>Free E-Journal (出版社公開部分のみ)</source><creator>Poongothai, T. ; Jayarajan, K.</creator><creatorcontrib>Poongothai, T. ; Jayarajan, K. ; Professor, Department of Computer Science and Engineering, St. Martin’s Engineering College, Secunderabad, Telengana, India ; Professor, Department of Computer Science and Engineering, Malla Reddy Engineering College for Women (Autonomous), Secunderabad, Telengana, India</creatorcontrib><description>Mobile Ad Hoc Network (MANET) is a highly popular wireless network technology due to the proliferation of wireless devices. The characteristic of mobile ad hoc network is described as wireless links and open medium, centralized decision making, dynamic topology, limited power supply, bandwidth constraint and no predefined boundary. Due to its unique characteristics, this technology has been used to support communications in situations where it may be impossible to deploy infrastructure networks, such as military battlefields, disaster recovery sites and medical emergency situations. However, they appear to be susceptible to a variety of attacks than any other networks. The nodes of a MANET communicate with each other with the help of intermediate nodes. Each node of a network act as a host as well as a router. Efficient routing protocols have been developed to support the functionality of each node. These protocols trust that all the nodes are cooperative and well behaved. But some nodes act as a malicious node and launch various attacks on routing protocols. Mainly sinkhole attack affects the routing functionality of the network. Therefore, route inference-based attack detection has been proposed to handle the sinkhole attack in the networks. The proposed system computes the weight value by considering route factor, flow factor and sink factor. Based on the weight value, a malicious node is identified. The experiment results indicate that, the proposed system achieved a packet delivery ratio of 99.6% and throughput of 2700 kbps.</description><identifier>ISSN: 2278-3075</identifier><identifier>EISSN: 2278-3075</identifier><identifier>DOI: 10.35940/ijitee.E2635.039520</identifier><language>eng</language><ispartof>International journal of innovative technology and exploring engineering, 2020-03, Vol.9 (5), p.944-950</ispartof><oa>free_for_read</oa><woscitedreferencessubscribed>false</woscitedreferencessubscribed></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids></links><search><creatorcontrib>Poongothai, T.</creatorcontrib><creatorcontrib>Jayarajan, K.</creatorcontrib><creatorcontrib>Professor, Department of Computer Science and Engineering, St. Martin’s Engineering College, Secunderabad, Telengana, India</creatorcontrib><creatorcontrib>Professor, Department of Computer Science and Engineering, Malla Reddy Engineering College for Women (Autonomous), Secunderabad, Telengana, India</creatorcontrib><title>Route Inference Based Sinkhole Attack Detection System f or Mobile Ad Hoc Networks</title><title>International journal of innovative technology and exploring engineering</title><description>Mobile Ad Hoc Network (MANET) is a highly popular wireless network technology due to the proliferation of wireless devices. The characteristic of mobile ad hoc network is described as wireless links and open medium, centralized decision making, dynamic topology, limited power supply, bandwidth constraint and no predefined boundary. Due to its unique characteristics, this technology has been used to support communications in situations where it may be impossible to deploy infrastructure networks, such as military battlefields, disaster recovery sites and medical emergency situations. However, they appear to be susceptible to a variety of attacks than any other networks. The nodes of a MANET communicate with each other with the help of intermediate nodes. Each node of a network act as a host as well as a router. Efficient routing protocols have been developed to support the functionality of each node. These protocols trust that all the nodes are cooperative and well behaved. But some nodes act as a malicious node and launch various attacks on routing protocols. Mainly sinkhole attack affects the routing functionality of the network. Therefore, route inference-based attack detection has been proposed to handle the sinkhole attack in the networks. The proposed system computes the weight value by considering route factor, flow factor and sink factor. Based on the weight value, a malicious node is identified. The experiment results indicate that, the proposed system achieved a packet delivery ratio of 99.6% and throughput of 2700 kbps.</description><issn>2278-3075</issn><issn>2278-3075</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2020</creationdate><recordtype>article</recordtype><recordid>eNpNkN1OwkAUhDdGEwnyBl7sC7Se_evPJSIKCWoC3Dfb09NYCl2zu8bw9iJ44dXMJJNJ5mPsXkCqTKnhodt1kSidy0yZFFRpJFyxkZR5kSjIzfU_f8smIewAQCgtiqwcsfXafUXiy6ElTwMSf7SBGr7phv7D7YlPY7TY8yeKhLFzA98cQ6QDb7nz_NXV3W-n4QuH_I3it_N9uGM3rd0HmvzpmG2f59vZIlm9vyxn01WCpYAEm7ykEnNDGVDeEJ0ioJINCqqt1VJrg5jXYE1jdG2lMKcD0qhWYVFgrcZMX2bRuxA8tdWn7w7WHysB1ZlMdSFTnclUFzLqBy9cWK0</recordid><startdate>20200330</startdate><enddate>20200330</enddate><creator>Poongothai, T.</creator><creator>Jayarajan, K.</creator><scope>AAYXX</scope><scope>CITATION</scope></search><sort><creationdate>20200330</creationdate><title>Route Inference Based Sinkhole Attack Detection System f or Mobile Ad Hoc Networks</title><author>Poongothai, T. ; Jayarajan, K.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c910-cd79e9c75e60e7dee79e0c32dc1ebaa42445cc7b0a5d54ba215075253f3c88cb3</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2020</creationdate><toplevel>online_resources</toplevel><creatorcontrib>Poongothai, T.</creatorcontrib><creatorcontrib>Jayarajan, K.</creatorcontrib><creatorcontrib>Professor, Department of Computer Science and Engineering, St. Martin’s Engineering College, Secunderabad, Telengana, India</creatorcontrib><creatorcontrib>Professor, Department of Computer Science and Engineering, Malla Reddy Engineering College for Women (Autonomous), Secunderabad, Telengana, India</creatorcontrib><collection>CrossRef</collection><jtitle>International journal of innovative technology and exploring engineering</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Poongothai, T.</au><au>Jayarajan, K.</au><aucorp>Professor, Department of Computer Science and Engineering, St. Martin’s Engineering College, Secunderabad, Telengana, India</aucorp><aucorp>Professor, Department of Computer Science and Engineering, Malla Reddy Engineering College for Women (Autonomous), Secunderabad, Telengana, India</aucorp><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Route Inference Based Sinkhole Attack Detection System f or Mobile Ad Hoc Networks</atitle><jtitle>International journal of innovative technology and exploring engineering</jtitle><date>2020-03-30</date><risdate>2020</risdate><volume>9</volume><issue>5</issue><spage>944</spage><epage>950</epage><pages>944-950</pages><issn>2278-3075</issn><eissn>2278-3075</eissn><abstract>Mobile Ad Hoc Network (MANET) is a highly popular wireless network technology due to the proliferation of wireless devices. The characteristic of mobile ad hoc network is described as wireless links and open medium, centralized decision making, dynamic topology, limited power supply, bandwidth constraint and no predefined boundary. Due to its unique characteristics, this technology has been used to support communications in situations where it may be impossible to deploy infrastructure networks, such as military battlefields, disaster recovery sites and medical emergency situations. However, they appear to be susceptible to a variety of attacks than any other networks. The nodes of a MANET communicate with each other with the help of intermediate nodes. Each node of a network act as a host as well as a router. Efficient routing protocols have been developed to support the functionality of each node. These protocols trust that all the nodes are cooperative and well behaved. But some nodes act as a malicious node and launch various attacks on routing protocols. Mainly sinkhole attack affects the routing functionality of the network. Therefore, route inference-based attack detection has been proposed to handle the sinkhole attack in the networks. The proposed system computes the weight value by considering route factor, flow factor and sink factor. Based on the weight value, a malicious node is identified. The experiment results indicate that, the proposed system achieved a packet delivery ratio of 99.6% and throughput of 2700 kbps.</abstract><doi>10.35940/ijitee.E2635.039520</doi><tpages>7</tpages><oa>free_for_read</oa></addata></record>
fulltext fulltext
identifier ISSN: 2278-3075
ispartof International journal of innovative technology and exploring engineering, 2020-03, Vol.9 (5), p.944-950
issn 2278-3075
2278-3075
language eng
recordid cdi_crossref_primary_10_35940_ijitee_E2635_039520
source Free E-Journal (出版社公開部分のみ)
title Route Inference Based Sinkhole Attack Detection System f or Mobile 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=2024-12-28T07%3A07%3A58IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-crossref&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Route%20Inference%20Based%20Sinkhole%20Attack%20Detection%20System%20f%20or%20Mobile%20Ad%20Hoc%20Networks&rft.jtitle=International%20journal%20of%20innovative%20technology%20and%20exploring%20engineering&rft.au=Poongothai,%20T.&rft.aucorp=Professor,%20Department%20of%20Computer%20Science%20and%20Engineering,%20St.%20Martin%E2%80%99s%20Engineering%20College,%20Secunderabad,%20Telengana,%20India&rft.date=2020-03-30&rft.volume=9&rft.issue=5&rft.spage=944&rft.epage=950&rft.pages=944-950&rft.issn=2278-3075&rft.eissn=2278-3075&rft_id=info:doi/10.35940/ijitee.E2635.039520&rft_dat=%3Ccrossref%3E10_35940_ijitee_E2635_039520%3C/crossref%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rfr_iscdi=true