Intrusion Detection System to Detect Insider Attack on RPL Routing Protocol Based on Destination Advertisement Object
The increasing fascination with the Internet of Things has led to the extensive deployment of Low-power and Lossy Networks. IPv6 Routing Protocol over Low Power and Lossy Networks serves as the ideal routing protocol proposed by IETF for routing in IoT-LLNs. Routing attacks are one of the IoT challe...
| Main Authors: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Iran Telecom Research Center
2021-06-01
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| Series: | International Journal of Information and Communication Technology Research |
| Subjects: | |
| Online Access: | http://ijict.itrc.ac.ir/article-1-481-en.html |
| _version_ | 1811169212854435840 |
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| author | Nadiya Jahantigh Jahantigh Ahmad Bakhtiyari Shahri Bakhtiyari Shahri |
| author_facet | Nadiya Jahantigh Jahantigh Ahmad Bakhtiyari Shahri Bakhtiyari Shahri |
| author_sort | Nadiya Jahantigh Jahantigh |
| collection | DOAJ |
| description | The increasing fascination with the Internet of Things has led to the extensive deployment of Low-power and Lossy Networks. IPv6 Routing Protocol over Low Power and Lossy Networks serves as the ideal routing protocol proposed by IETF for routing in IoT-LLNs. Routing attacks are one of the IoT challenges that can lead to network performance problems and often denial of service. The Destination Advertisement Object (DAO) insider attack is one of the most notable attacks in RPLs, and previous studies have not developed a complete method for its detection so as to separate the malicious node from the normal node. Using an anomaly-based intrusion detection system, this paper suggests three methods based on random, fixed, and dynamic threshold adjustment to prevent DAO insider attack and identify malicious nodes. The results showed that the proposed model has a detection rate of 100% and a very low rate of false alert. |
| first_indexed | 2024-04-10T16:38:40Z |
| format | Article |
| id | doaj.art-2c31626d5c11489996f71dd200bc5fd0 |
| institution | Directory Open Access Journal |
| issn | 2251-6107 2783-4425 |
| language | English |
| last_indexed | 2024-04-10T16:38:40Z |
| publishDate | 2021-06-01 |
| publisher | Iran Telecom Research Center |
| record_format | Article |
| series | International Journal of Information and Communication Technology Research |
| spelling | doaj.art-2c31626d5c11489996f71dd200bc5fd02023-02-08T08:00:07ZengIran Telecom Research CenterInternational Journal of Information and Communication Technology Research2251-61072783-44252021-06-011321728Intrusion Detection System to Detect Insider Attack on RPL Routing Protocol Based on Destination Advertisement ObjectNadiya Jahantigh Jahantigh0Ahmad Bakhtiyari Shahri Bakhtiyari Shahri1 Faculty of Electrical and Computer Engineering University of Sistan and Baluchestan Zahedan, Iran Faculty of Electrical and Computer Engineering University of Sistan and Baluchestan Zahedan, Iran The increasing fascination with the Internet of Things has led to the extensive deployment of Low-power and Lossy Networks. IPv6 Routing Protocol over Low Power and Lossy Networks serves as the ideal routing protocol proposed by IETF for routing in IoT-LLNs. Routing attacks are one of the IoT challenges that can lead to network performance problems and often denial of service. The Destination Advertisement Object (DAO) insider attack is one of the most notable attacks in RPLs, and previous studies have not developed a complete method for its detection so as to separate the malicious node from the normal node. Using an anomaly-based intrusion detection system, this paper suggests three methods based on random, fixed, and dynamic threshold adjustment to prevent DAO insider attack and identify malicious nodes. The results showed that the proposed model has a detection rate of 100% and a very low rate of false alert.http://ijict.itrc.ac.ir/article-1-481-en.htmldao attackinternet of thingsllnrplsecurity. |
| spellingShingle | Nadiya Jahantigh Jahantigh Ahmad Bakhtiyari Shahri Bakhtiyari Shahri Intrusion Detection System to Detect Insider Attack on RPL Routing Protocol Based on Destination Advertisement Object International Journal of Information and Communication Technology Research dao attack internet of things lln rpl security. |
| title | Intrusion Detection System to Detect Insider Attack on RPL Routing Protocol Based on Destination Advertisement Object |
| title_full | Intrusion Detection System to Detect Insider Attack on RPL Routing Protocol Based on Destination Advertisement Object |
| title_fullStr | Intrusion Detection System to Detect Insider Attack on RPL Routing Protocol Based on Destination Advertisement Object |
| title_full_unstemmed | Intrusion Detection System to Detect Insider Attack on RPL Routing Protocol Based on Destination Advertisement Object |
| title_short | Intrusion Detection System to Detect Insider Attack on RPL Routing Protocol Based on Destination Advertisement Object |
| title_sort | intrusion detection system to detect insider attack on rpl routing protocol based on destination advertisement object |
| topic | dao attack internet of things lln rpl security. |
| url | http://ijict.itrc.ac.ir/article-1-481-en.html |
| work_keys_str_mv | AT nadiyajahantighjahantigh intrusiondetectionsystemtodetectinsiderattackonrplroutingprotocolbasedondestinationadvertisementobject AT ahmadbakhtiyarishahribakhtiyarishahri intrusiondetectionsystemtodetectinsiderattackonrplroutingprotocolbasedondestinationadvertisementobject |